RSAC 2026: New Microsoft Sentinel Connectors Announcement
Microsoft Sentinel helps organizations detect, investigate, and respond to security threats across increasingly complex environments. With the rollout of the Microsoft Sentinel data lake in the fall, and the App Assure-backed Sentinel promise that supports it, customers now have access to long-term, cost-effective storage for security telemetry, creating a solid foundation for emerging Agentic AI experiences. Since our last announcement at Ignite 2025, the Microsoft Sentinel connector ecosystem has expanded rapidly, reflecting continued investment from software development partners building for our shared customers. These connectors bring diverse security signals together, enabling correlation at scale and delivering richer investigation context across the Sentinel platform. Below is a snapshot of Microsoft Sentinel connectors newly available or recently enhanced since our last announcement, highlighting the breadth of partner solutions contributing data into, and extending the value of, the Microsoft Sentinel ecosystem. New and notable integrations Acronis Cyber Protect Cloud Acronis Cyber Protect Cloud integrates with Microsoft Sentinel to bring data protection and security telemetry into a centralized SOC view. The connector streams alerts, events, and activity data - spanning backup, endpoint protection, and workload security - into Microsoft Sentinel for correlation with other signals. This integration helps security teams investigate ransomware and data-centric threats more effectively, leverage built-in hunting queries and detection rules, and improve visibility across managed environments without adding operational complexity. Anvilogic Anvilogic integrates with Microsoft Sentinel to help security teams operationalize detection engineering at scale. The connector streams Anvilogic alerts into Microsoft Sentinel, giving SOC analysts centralized visibility into high-fidelity detections and faster context for investigation and triage. By unifying detection workflows, reducing alert noise, and improving prioritization, this integration supports more efficient threat detection and response while helping teams extend coverage across evolving attack techniques. CyberArk Audit CyberArk Audit integrates with Microsoft Sentinel to centralize visibility into privileged identity and access activity. By streaming detailed audit logs - covering system events, user actions, and administrative activity - into Microsoft Sentinel, security teams can correlate identity-driven risks with broader security telemetry. This integration supports faster investigations, improved monitoring of privileged access, and more effective incident response through automated workflows and enriched context for SOC analysts. Cyera Cyera integrates with Microsoft Sentinel to extend AI-native data security posture management into security operations. The connector brings Cyera’s data context and actionable intelligence across multi-cloud, on-premises, and SaaS environments into Microsoft Sentinel, helping teams understand where sensitive data resides and how it is accessed, exposed, and used. Built on Sentinel’s modern framework, the integration feeds context-rich data risk signals into the Sentinel data lake, enabling more informed threat hunting, automation, and decision-making around data, user, and AI-related risk. TacitRed CrowdStrike IOC Automation Data443 TacitRed CS IOC Automation integrates with Microsoft Sentinel to streamline the operationalization of compromised credential intelligence. The solution uses Sentinel playbooks to automatically push TacitRed indicators of compromise into CrowdStrike via Sentinel playbooks, helping security teams turn identity-based threat intelligence into action. By automating IOC handling and reducing manual effort, this integration supports faster response to credential exposure and strengthens protection against account-driven attacks across the environment. TacitRed SentinelOne IOC Automation Data443 TacitRed SentinelOne IOC Automation integrates with Microsoft Sentinel to help operationalize identity-focused threat intelligence at the endpoint layer. The solution uses Sentinel playbooks to automatically consume TacitRed indicators and push curated indicators into SentinelOne via Sentinel playbooks and API-based enforcement, enabling faster enforcement of high-risk IOCs without manual handling. By automating the flow of compromised credential intelligence from Sentinel into EDR, this integration supports quicker response to identity-driven attacks and improves coordination between threat intelligence and endpoint protection workflows. TacitRed Threat Intelligence Data443 TacitRed Threat Intelligence integrates with Microsoft Sentinel to provide enhanced visibility into identity-based risks, including compromised credentials and high-risk user exposure. The solution ingests curated TacitRed intelligence directly into Sentinel, enriching incidents with context that helps SOC teams identify credential-driven threats earlier in the attack lifecycle. With built-in analytics, workbooks, and hunting queries, this integration supports proactive identity threat detection, faster triage, and more informed response across the SOC. Cyren Threat Intelligence Cyren Threat Intelligence integrates with Microsoft Sentinel to enhance detection of network-based threats using curated IP reputation and malware URL intelligence. The connector ingests Cyren threat feeds into Sentinel using the Codeless Connector Framework (CCF), transforming raw indicators into actionable insights, dashboards, and enriched investigations. By adding context to suspicious traffic and phishing infrastructure, this integration helps SOC teams improve alert accuracy, accelerate triage, and make more confident response decisions across their environments. TacitRed Defender Threat Intelligence Data443 TacitRed Defender Threat Intelligence integrates with Microsoft Sentinel to surface early indicators of credential exposure and identity-driven risk. The solution automatically ingests compromised credential intelligence from TacitRed into Sentinel and can support synchronization of validated indicators with Microsoft Defender Threat Intelligence through Sentinel workflows, helping SOC teams detect account compromise before abuse occurs. By enriching Sentinel incidents with actionable identity context, this integration supports faster triage, proactive remediation, and stronger protection against credential-based attacks. Datawiza Access Proxy (DAP) Datawiza Access Proxy integrates with Microsoft Sentinel to provide centralized visibility into application access and authentication activity. By streaming access and MFA logs from Datawiza into Sentinel, security teams can correlate identity and session-level events with broader security telemetry. This integration supports detection of anomalous access patterns, faster investigation through session traceability, and more effective response using Sentinel automation, helping organizations strengthen Zero Trust controls and meet auditing and compliance requirements. Endace Endace integrates with Microsoft Sentinel to provide deep network visibility by providing always-on, packet-level evidence. The connector enables one-click pivoting from Sentinel alerts directly to recorded packet data captured by EndaceProbes. This helps SOC and NetOps teams reconstruct events and validate threats with confidence. By combining Sentinel’s AI-driven analytics with Endace’s always-on, full-packet capture across on-premises, hybrid, and cloud environments, this integration supports faster investigations, improved forensic accuracy, and more decisive incident response. Feedly Feedly integrates with Microsoft Sentinel to ingest curated threat intelligence directly into security operations workflows. The connector automatically imports Indicators of Compromise (IoCs) from Feedly Team Boards and folders into Sentinel, enriching detections and investigations with context from the original intelligence articles. By bringing analyst‑curated threat intelligence into Sentinel in a structured, automated way, this integration helps security teams stay current on emerging threats and reduce the manual effort required to operationalize external intelligence. Gigamon Gigamon integrates with Microsoft Sentinel through a new connector that provides access to Gigamon Application Metadata Intelligence (AMI), delivering high-fidelity network-derived telemetry with rich application metadata from inspected traffic directly into Sentinel. This added context helps security teams detect suspicious activity, encrypted threats, and lateral movement faster and with greater precision. By enriching analytics without requiring full packet ingestion, organizations can reduce noise, manage SIEM costs, and extend visibility across hybrid cloud infrastructure. Halcyon Halcyon integrates with Microsoft Sentinel to provide purpose-built ransomware detection and automated containment across the Microsoft security ecosystem. The connector surfaces Halcyon ransomware alerts directly within Sentinel, enabling SOC teams to correlate ransomware behavior with Microsoft Defender and broader Microsoft telemetry. By supporting Sentinel analytics and automation workflows, this integration helps organizations detect ransomware earlier, investigate faster using native Sentinel tools, and isolate affected endpoints to prevent lateral spread and reinfection. Illumio The Illumio platform identifies and contains threats across hybrid multi-cloud environments. By integrating AI-driven insights with Microsoft Sentinel and Microsoft Graph, Illumio Insights enables SOC analysts to visualize attack paths, prioritize high-risk activity, and investigate threats with greater precision. Illumio Segmentation secures critical assets, workloads, and devices and then publishes segmentation policy back into Microsoft Sentinel to ensure compliance monitoring. Joe Sandbox Joe Sandbox integrates with Microsoft Sentinel to enrich incidents with dynamic malware and URL analysis. The connector ingests Joe Sandbox threat intelligence and automatically detonates suspicious files and URLs associated with Sentinel incidents, returning behavioral and contextual analysis results directly into investigation workflows. By adding sandbox-driven insights to indicators, alerts, and incident comments, this integration helps SOC teams validate threats faster, reduce false positives, and improve response decisions using deeper visibility into malicious behavior. Keeper Security The Keeper Security integration with Microsoft Sentinel brings advanced password and secrets management telemetry into your SIEM environment. By streaming audit logs and privileged access events from Keeper into Sentinel, security teams gain centralized visibility into credential usage and potential misuse. The connector supports custom queries and automated playbooks, helping organizations accelerate investigations, enforce Zero Trust principles, and strengthen identity security across hybrid environments. Lookout Mobile Threat Defense (MTD) Lookout Mobile Threat Defense integrates with Microsoft Sentinel to extend SOC visibility to mobile endpoints across Android, iOS, and Chrome OS. The connector streams device, threat, and audit telemetry from Lookout into Sentinel, enabling security teams to correlate mobile risk signals such as phishing, malicious apps, and device compromise, with broader enterprise security data. By incorporating mobile threat intelligence into Sentinel analytics, dashboards, and alerts, this integration helps organizations detect mobile driven attacks earlier and strengthen protection for an increasingly mobile workforce. Miro Miro integrates with Microsoft Sentinel to provide centralized visibility into collaboration activity across Miro workspaces. The connector ingests organization-wide audit logs and content activity logs into Sentinel, enabling security teams to monitor authentication events, administrative actions, and content changes alongside other enterprise signals. By bringing Miro collaboration telemetry into Sentinel analytics and dashboards, this integration helps organizations detect suspicious access patterns, support compliance and eDiscovery needs, and maintain stronger oversight of collaborative environments without disrupting productivity. Obsidian Activity Threat The Obsidian Threat and Activity Feed for Microsoft Sentinel delivers deep visibility into SaaS and AI applications, helping security teams detect account compromise and insider threats. By streaming user behavior and configuration data into Sentinel, organizations can correlate application risks with enterprise telemetry for faster investigations. Prebuilt analytics and dashboards enable proactive monitoring, while automated playbooks simplify response workflows, strengthening security posture across critical cloud apps. OneTrust for Purview DSPM OneTrust integrates with Microsoft Sentinel to bring privacy, compliance, and data governance signals into security operations workflows. The connector enriches Sentinel with privacy relevant events and risk indicators from OneTrust, helping organizations detect sensitive data exposure, oversharing, and compliance risks across cloud and non-Microsoft data sources. By unifying privacy intelligence with Sentinel analytics and automation, this integration enables security and privacy teams to respond more quickly to data risk events and support responsible data use and AI-ready governance. Pathlock Pathlock integrates with Microsoft Sentinel to bring SAP-specific threat detection and response signals into centralized security operations. The connector forwards security-relevant SAP events into Sentinel, enabling SOC teams to correlate SAP activity with broader enterprise telemetry and investigate threats using familiar SIEM workflows. By enriching Sentinel with SAP security context and focused detection logic, this integration helps organizations improve visibility into SAP landscapes, reduce noise, and accelerate detection and response for risks affecting critical business systems. Quokka Q-scout Quokka Q-scout integrates with Microsoft Sentinel to centralize mobile application risk intelligence across Microsoft Intune-managed devices. The connector automatically ingests app inventories from Intune, analyzes them using Quokka’s mobile app vetting engines, and streams security, privacy, and compliance risk findings into Sentinel. By surfacing app-level risks through Sentinel analytics and alerts, this integration helps security teams identify malicious or high-risk mobile apps, prioritize remediation, and strengthen mobile security posture without deploying agents or disrupting users. Synqly Synqly integrates with Microsoft Sentinel to simplify and scale security integrations through a unified API approach. The connector enables organizations and security vendors to establish a bi‑directional connection with Sentinel without relying on brittle, point‑to‑point integrations. By abstracting common integration challenges such as authentication handling, retries, and schema changes, Synqly helps teams orchestrate security data flows into and out of Sentinel more reliably, supporting faster onboarding of new data sources and more maintainable integrations at scale. Versasec vSEC:CMS Versasec vSEC:CMS integrates with Microsoft Sentinel to provide centralized visibility into credential lifecycle and system health events. The connector securely streams vSEC:CMS and vSEC:CLOUD alerts and status data into Sentinel using the Codeless Connector Framework (CCF), transforming credential management activity into correlation-ready security signals. By bringing smart card, token, and passkey management telemetry into Sentinel, this integration helps security teams monitor authentication infrastructure health, investigate credential-related incidents, and unify identity security operations within their SIEM workflows. VirtualMetric DataStream VirtualMetric DataStream integrates with Microsoft Sentinel to optimize how security telemetry is collected, normalized, and routed across the Microsoft security ecosystem. Acting as a high-performance telemetry pipeline, DataStream intelligently filters and enriches logs, sending high-value security data to Sentinel while routing less-critical data to Sentinel data lake or Azure Blob Storage for cost-effective retention. By reducing noise upstream and standardizing logs to Sentinel ready schemas, this integration helps organizations control ingestion costs, improve detection quality, and streamline threat hunting and compliance workflows. VMRay VMRay integrates with Microsoft Sentinel to enrich SIEM and SOAR workflows with automated sandbox analysis and high-fidelity, behavior-based threat intelligence. The connector enables suspicious files and phishing URLs to be submitted directly from Sentinel to VMRay for dynamic analysis, while validated, high-confidence indicators of compromise (IOCs) are streamed back into Sentinel’s Threat Intelligence repository for correlation and detection. By adding detailed attack-chain visibility and enriched incident context, this integration helps SOC teams reduce investigation time, improve detection accuracy, and strengthen automated response workflows across Sentinel environments. Zero Networks Segment Audit Zero Networks Segment integrates with Microsoft Sentinel to provide visibility into micro-segmentation and access-control activity across the network. The connector can collect audit logs or activities from Zero Networks Segment, enabling security teams to monitor policy changes, administrative actions, and access events related to MFA-based network segmentation. By bringing segmentation audit telemetry into Sentinel, this integration supports compliance monitoring, investigation of suspicious changes, and faster detection of attempts to bypass lateral-movement controls within enterprise environments. Zscaler Internet Access (ZIA) Zscaler Internet Access integrates with Microsoft Sentinel to centralize cloud security telemetry from web and firewall traffic. The connector enables ZIA logs to be ingested into Sentinel, allowing security teams to correlate Zscaler Internet Access signals with other enterprise data for improved threat detection, investigation, and response. By bringing ZIA web, firewall, and security events into Sentinel analytics and hunting workflows, this integration helps organizations gain broader visibility into internet-based threats and strengthen Zero Trust security operations. In addition to these solutions from our third-party partners, we are also excited to announce the following connector published by the Microsoft Sentinel team: GitHub Enterprise Audit Logs Microsoft’s Sentinel Promise For Customers Every connector in the Microsoft Sentinel ecosystem is built to work out of the box. In the unlikely event a customer encounters any issue with a connector, the App Assure team stands ready to assist. For Software Developers Software partners in need of assistance in creating or updating a Sentinel solution can also leverage Microsoft’s Sentinel Promise to support our shared customers. For developers seeking to build agentic experiences utilizing Sentinel data lake, we are excited to announce the launch of our Sentinel Advisory Service to guide developers across their Sentinel journey. Customers and developers alike can reach out to us via our intake form. Learn More Microsoft Sentinel data lake Microsoft Sentinel data lake: Unify signals, cut costs, and power agentic AI Introducing Microsoft Sentinel data lake What is Microsoft Sentinel data lake Unlocking Developer Innovation with Microsoft Sentinel data lake Microsoft Sentinel Codeless Connector Framework (CCF) Create a codeless connector for Microsoft Sentinel Public Preview Announcement: Microsoft Sentinel CCF Push What’s New in Microsoft Sentinel Monthly Blog Microsoft App Assure App Assure home page App Assure services App Assure blog App Assure Request Assistance Form App Assure Sentinel Advisory Services announcement App Assure’s promise: Migrate to Sentinel with confidence App Assure’s Sentinel promise now extends to Microsoft Sentinel data lake Ignite 2025 new Microsoft Sentinel connectors announcement Microsoft Security Microsoft’s Secure Future Initiative Microsoft Unified SecOpsAnnouncing public preview of custom graphs in Microsoft Sentinel
Security attacks span identities, devices, resources, and activity, making it critical to understand how these elements connect to expose real risk. In November, we shared how Sentinel graph brings these signals together into a relationship-aware view to help uncover hidden security risks. We’re excited to announce the public preview of custom graphs in Sentinel, available starting April 1 st . Custom graphs let defenders model relationships that are unique to their organization, then run graph analytics to surface blast radius, attack paths, privilege chains, chokepoints, and anomalies that are difficult to spot in tables alone. In this post, we’ll cover what custom graphs are, how they work, and how to get started so the entire team can use them. Custom graphs Security data is inherently connected: a sign-in leads to a token, a token touches a workload, a workload accesses data, and data movement triggers new activity. Graphs represent these relationships as nodes (entities) and edges (relationships), helping you answer questions like: “Who received the phishing email, who clicked, and which clicks were allowed by the proxy?” or “Show me users who exported notebooks, staged files in storage, then uploaded data to personal cloud storage- the full, three‑phase exfiltration chain through one identity.” With custom graphs, security teams can build, query, and visualize tailored security graphs using data from the Sentinel data lake and non-Microsoft sources, powered by Fabric. By uncovering hidden patterns and attack paths, graphs provide the relationship context needed to surface real risk. This context strengthens AI‑powered agent experiences, speeds investigations, clarifies blast radius, and helps teams move from noisy, disconnected alerts to confident decisions. In the words of our preview customers: “We ingested our Databricks management-plane telemetry into the Sentinel data lake and built a custom security graph. Without writing a single detection rule, the graph surfaced unusual patterns of activity and overprivileged access that we escalated for investigation. We didn't know what we were looking for, the graph surfaced the risk for us by revealing anomalous activity patterns and unusual access combinations driven by relationships, not alerts.” – SVP, Security Solutions | Financial Services organization Use cases Sentinel graph offers embedded, Microsoft managed, security graphs in Defender and Microsoft Purview experiences to help you at every stage of defense, from pre-breach to post-breach and across assets, activities, and threat intelligence. See here for more details. The new custom graph capability gives you full control to create your own graphs combining data from Microsoft sources, non-Microsoft sources, and federated sources in the Sentinel data lake. With custom graphs you can: Understand blast radius – Trace phishing campaigns, malware spread, OAuth abuse, or privilege escalation paths across identities, devices, apps, and data, without stitching together dozens of tables. Reconstruct real attack chains – Model multi-step attacker behavior (MITRE techniques, lateral movement, before/after malware) as connected sequences so investigations are complete and explainable, not a set of partial pivots. Reconstruct these chains from historical data in the Sentinel data lake. Figure 2: Drill into which specific MITRE techniques each IP is executing and in which tactic category Spot hidden risks and anomalies – Detect structural outliers like users with unusually broad access, anomalous email exfiltration, or dangerous permission combinations that are invisible in flat logs. Figure 3: OAuth consent chain – a single compromised user consented four dangerous permissions Creating custom graph Using the Sentinel VS Code extension, you can generate graphs to validate hunting hypotheses, such as understanding attack paths and blast radius of a phishing campaign, reconstructing multi‑step attack chains, and identifying structurally unusual or high‑risk behavior, making it accessible to your team and AI agents. Once persisted via a schedule job, you can access these custom graphs from the ready-to-use section in the graphs section in the Defender portal. Figure 4: Use AI-assisted vibe coding in Visual Studio Code to create tailored security graphs powered by Sentinel data lake and Fabric Graphs experience in the Microsoft Defender portal After creating your custom graphs, you can access them in the Graphs section of the Microsoft Defender portal under Sentinel. From there, you can perform interactive, graph-based investigations, for example, using a graph built for phishing analysis to quickly evaluate the impact of a recent incident, profile the attacker, and trace paths across Microsoft telemetry and third-party data. The graph experience lets you run Graph Query Language (GQL) queries, view the graph schema, visualize results, see results in a table, and interactively traverse to the next hop with a single click. Figure 5: Query, visualize, and traverse custom graphs with the new graph experience in Sentinel Billing Custom graph API usage for creating graph and querying graph is billed according to the Sentinel graph meter. Get started To use custom graphs, you’ll need Microsoft Sentinel data lake enabled in your tenant, since the lake provides the scalable, open-format foundation that custom graphs build on. Use the Sentinel data lake onboarding flow to provision the data lake if it isn’t already enabled. Ensure the required connectors are configured to populate your data lake. See Manage data tiers and retention in Microsoft Sentinel | Microsoft Learn. Create and persist a custom graph. See Get started with custom graphs in Microsoft Sentinel (preview) | Microsoft Learn. Run adhoc graph queries and visualize graph results. See Visualize custom graphs in Microsoft Sentinel graph (preview) | Microsoft Learn. [Optional] Schedule jobs to write graph query results to the lake tier and analytics tier using notebooks. See Exploring and interacting with lake data using Jupyter Notebooks - Microsoft Security | Microsoft Learn. Learn more Earlier posts (Sentinel graph general availability) RSAC 2026 announcement roundup Custom graphs documentation Custom graph billingAccelerate connectors development using AI agent in Microsoft Sentinel
Today, we’re excited to announce the public preview of a Sentinel connector builder agent, via VS code extension, that helps developers build Microsoft Sentinel codeless connectors faster with low-code and AI-assisted prompts. This new capability brings guided workflows directly into the tooling developers already use, helping accelerate time to value as the Sentinel ecosystem continues to grow. Learn more at Create custom connectors using Sentinel connector AI agent Why this matters As the Microsoft Sentinel ecosystem continues to expand, developers are increasingly tasked with delivering high‑quality, production‑ready connectors at a faster pace, often while working across different cloud platforms and development environments. Building these integrations involves coordinating schemas, configuration artifacts, Azure deployment concepts, and validation steps that provide flexibility and control, but can span multiple tools and workflows. As connector development scales across more partners and scenarios, there is a clear opportunity to better integrate these capabilities into the developer environments teams already rely on. The new Sentinel connector builder agent, using GitHub Copilot in the Sentinel VS code extension, brings more of the connector development lifecycle -- authoring, validation, testing, and deployment into a single, cohesive workflow. By consolidating these common steps, it helps developers move more easily from design to validation and deployment without disrupting established processes. A guided, AI‑assisted workflow inside VS Code The Sentinel connector builder agent for Visual Studio Code is designed to help developers move from API documentation to a working codeless connector more efficiently. The experience begins with an ISVs API documentation. Using GitHub Copilot chat inside VS Code, developers can describe the connector they want to build and point the extension to their API docs, either by URL or inline content. From there, the AI‑guided workflow reads and extracts the relevant details needed to begin building the connector. Open the VS Code chat and set the chat to Agent mode. Prompt the agent using sentinel. When prompted, select /create-connector and select any supported API. For example in Contoso API, enter the prompt as: @sentinel /create-connector Create a connector for Contoso. Here are the API docs: https://contoso-security-api.azurewebsites.net/v0101/api-doc Next, the agent generates the required artifacts such as polling configurations, data collection rules (DCRs), table schemas, and connector definitions, using guided prompts with built‑in validation. This step‑by‑step experience helps ensure configurations remain consistent and aligned as they’re created. Note: During agent evaluation, select Allow responses once to approve changes, or select the option Bypass Approvals in the chat. It might take up to several minutes for the evaluations to finish. As the connector takes shape, developers can validate and test configurations directly within VS Code, including testing API interactions before deployment. Validation of the API data source and polling configuration are surfaced in context, supporting faster iteration without leaving the development environment. When ready, connectors can be deployed directly from VS Code to accessible Microsoft Sentinel workspaces, streamlining the path from development to deployment without requiring manual navigation of the Azure portal. Key capabilities The VS Code connector builder experience includes: AI‑guided connector creation to generate codeless connectors from API documentation using natural language prompts. Support for common authentication methods, including Basic authentication, OAuth 2.0, and API keys. Automated validation to check schemas, cross‑file consistency, and configuration correctness as you build. Built‑in testing to validate polling configurations and API interactions before deployment. One‑click deployment that allows publishing connectors directly to accessible Microsoft Sentinel workspaces from within VS Code. Together, these capabilities support a more efficient path from API documentation to a working Microsoft Sentinel connector. Testimonials As partners begin using the Sentinel connector builder agent, feedback from the community will help shape future enhancements and refinements. Here is what some of our early adopters have to say about the experience: “The connector builder agent accelerated our initial exploration of the codeless connector framework and helped guide our connector design decisions.” -- Rodrigo Rodrigues, Technology Alliance Director “The connector builder agent helped us quickly explore and validate connector options on the codeless connector framework while developing our Sentinel integration.” --Chris Nicosia, Head of Cloud and Tech Partnerships Start building This public preview represents an important step toward simplifying how ISVs build and maintain integrations with Microsoft Sentinel. If you’re ready to get started, the Sentinel connector builder agent is available in public preview for all participants. In the unlikely event that an ISV encounters any issues in building or updating a CCF connector, App Assure is here to help. Reach out to us here.What’s new in Microsoft Sentinel: RSAC 2026
Security is entering a new era, one defined by explosive data growth, increasingly sophisticated threats, and the rise of AI-enabled operations. To keep pace, security teams need an AI-powered approach to collect, reason over, and act on security data at scale. At RSA Conference 2026 (RSAC), we’re unveiling the next wave of Sentinel innovations designed to help organizations move faster, see deeper, and defend smarter with AI-ready tools. These updates include AI-driven playbooks that accelerate SOC automation, Granular Delegated Admin Privileges (GDAP) and granular role-based access controls (RBAC) that let you scale your SOC, accelerated data onboarding through new connectors, and data federation that enables analysis in place without duplication. Together, they give teams greater clarity, control, and speed. Come see us at RSAC to view these innovations in action. Hear from Sentinel leaders during our exclusive Microsoft Pre-Day, then visit Microsoft booth #5744 for demos, theater sessions, and conversations with Sentinel experts. Read on to explore what’s new. See you at RSAC! Sentinel feature innovations: Sentinel SIEM Sentinel data lake Sentinel graph Sentinel MCP Threat Intelligence Microsoft Security Store Sentinel promotions Sentinel SIEM Playbook generator [Now in public preview] The Sentinel playbook generator delivers a new era of automation capabilities. You can vibe code complex automations, integrate with different tools to ensure timely and compliant workflows throughout your SOC and feel confident in the results with built in testing and documentation. Customers and partners are already seeing benefit from this innovation. “The playbook generator gives security engineers the flexibility and speed of AI-assisted coding while delivering the deterministic outcomes that enterprise security operations require. It's the best of both worlds, and it lives natively in Defender where the engineers already work.” – Jaime Guimera Coll | Security and AI Architect | BlueVoyant Learn more about playbook generator. SIEM migration experience [General availability now] The Sentinel SIEM migration experience helps you plan and execute SIEM migrations through a guided, in-product workflow. You can upload Splunk or QRadar exports to generate recommendations for best‑fit Sentinel analytics rules and required data connectors, then assess migration scope, validate detection coverage, and migrate from Splunk or QRadar to Sentinel in phases while tracking progress. “The tool helps turn a Splunk to Sentinel migration into a practical decision process. It gives clear visibility into which detections are relevant, how they align to real security use cases, and where it makes sense to enable or prioritize coverage—especially with cost and data sources in mind.” – Deniz Mutlu | Director | Swiss Post Cybersecurity Ltd Learn more about SIEM migration experience. GDAP, unified RBAC, and row-level RBAC for Sentinel [Public preview, April 1] As Sentinel environments grow for enterprises, MSSPs, hyperscalers, and partners operating across shared or multiple environments, the challenge becomes managing access control efficiently and consistently at scale. Sentinel’s expanded permissions and access capabilities are designed to meet these needs. Granular Delegated Admin Privileges (GDAP) lets you streamline management across multiple governed tenants using your primary account, based on existing GDAP relationships. Unified RBAC allows you to opt in to managing permissions for Sentinel workspaces through a single pane of glass, configuring and enforcing access across Sentinel experiences in the analytics tier and data lake in the Defender portal. This simplifies administration and improves operational efficiency by reducing the number of permission models you need to manage. Row-level RBAC scoping within tables enables precise, scoped access to data in the Sentinel data lake. Multiple SOC teams can operate independently within a shared Sentinel environment, querying only the data they are authorized to see, without separating workspaces or introducing complex data flow changes. Consistent, reusable scope definitions ensure permissions are applied uniformly across tables and experiences, while maintaining strong security boundaries. To learn more, read our technical deep dives on RBAC and GDAP. Sentinel data lake Sentinel data federation [Public preview, April 1] Sentinel data federation lets you analyze security data in place without copying or duplicating your data. Powered by Microsoft Fabric, you can now federate data from Fabric, Azure Data Lake Storage (ADLS), and Azure Databricks into Sentinel data lake. Federated data appears alongside native Sentinel data, so you can use familiar tools like KQL hunting, notebooks, and custom graphs to correlate signals and investigate across your entire digital estate, all while preserving governance and compliance. You can start analyzing data in place and progressively ingest data into Sentinel for deeper security insights, advanced automation, and AI-powered defense at scale. You are billed only when you run analytics on federated data using existing Sentinel data lake query and advanced insights meters. les for unified investigation and hunting Sentinel cost estimation tool [Public Preview, April 9] The new Sentinel cost estimation tool offers all Microsoft customers and partners a guided, meter-level cost estimation experience that makes pricing transparent and predictable. A built-in three-year cost projection lets you model data growth and ramp-up over time, anticipate spend, and avoid surprises. Get transparent estimates into spend as you scale your security operations. All other customers can continue to use the Azure calculator for Sentinel pricing estimates. See the Sentinel pricing page for more information. Sentinel data connectors A365 Observability connector [Public preview, April 15] Bring AI agent telemetry into the Sentinel data lake to investigate agent behavior, tool usage, prompts, reasoning and execution using hunting, graph, and MCP workflows. GitHub audit log connector using API polling [General availability, March 6] Ingest GitHub enterprise audit logs into Sentinel to monitor user and administrator activity, detect risky changes, and investigate security events across your development environment. Google Kubernetes Engine (GKE) connector [General availability, March 6] Collect Google Kubernetes Engine (GKE) audit and workload logs in Sentinel to monitor cluster activity, analyze workload behavior, and detect security threats across Kubernetes environments. Microsoft Entra and Azure Resource Graph (ARG) connector enhancements [Public preview, April 15] Enable new Entra assets (EntraDevices, EntraOrgContacts) and ARG assets (ARGRoleDefinitions) in existing asset connectors, expanding inventory coverage and powering richer, built‑in graph experiences for greater visibility. With over 350 Sentinel data connectors, customers achieve broad visibility into complex digital environments and can expand their security operations effectively. “Microsoft Sentinel data lake forms the core of our agentic SOC. By unifying large volumes of Microsoft and third-party data, enabling graph-based analysis, and supporting MCP-driven workflows, it allows us to investigate faster, at lower cost, and with greater confidence.” – Øyvind Bergerud | Head of Security Operations | Storebrand Learn more about Sentinel data connectors. Sentinel connector builder agent using Sentinel Visual Studio Code extension [Public preview, March 31] Build Sentinel data connectors in minutes instead of weeks using the AI‑assisted Connector Builder agent in Visual Studio Code. This low‑code experience guides developers and ISVs end-to-end, automatically generating schemas, deployment assets, connector UI, secure secret handling, and polling logic. Built‑in validation surfaces issues early, so you can validate event logs before deployment and ingestion. Example prompt in GitHub Copilot Chat: @sentinel-connector-builder Create a new connector for OpenAI audit logs using https://api.openai.com/v1/organization/audit_logs Data filtering and splitting [Public preview, March 30] As security teams ingest more data, the challenge shifts from scale to relevance. With filtering and splitting now built into the Defender portal, teams can shape data before it lands in Sentinel, without switching tools or managing custom JSON files. Define simple KQL‑based transformations directly in the UI to filter low‑value events and intelligently route data, making ingestion optimization faster, more intuitive, and easier to manage at scale. Filtering at ingest time allows you to remove low-value or benign events to reduce noise, cut unnecessary processing, and ensure that high-signal data drives detections and investigations. Splitting enables intelligent routing of data between the analytics tier and the data lake tier based on relevance and usage. Together, these two capabilities help you balance cost and performance while scaling data ingestion sustainably as your digital estate grows. Create workbook reports directly from the data lake [Public preview, April 1] Sentinel workbooks can now directly run on the data lake using KQL, enabling you to visualize and monitor security data straight from the data lake. By selecting the data lake as the workbook data source, you can now create trend analysis and executive reporting. Sentinel graph Custom graphs [Public preview, April 1] Custom graphs let you build tailored security graphs tuned to your unique security scenarios using data from Sentinel data lake as well as non-Microsoft sources. With custom graph, powered by Fabric, you can build, query, and visualize connected data, uncover hidden patterns and attack paths, and help surface risks that are hard to detect when data is analyzed in isolation. These graphs provide the knowledge context that enables AI-powered agent experiences to work more effectively, speeding investigations, revealing blast radius, and helping you move from noisy, disconnected alerts to confident decisions at scale. In the words of our preview customers: “We ingested our Databricks management-plane telemetry into the Sentinel data lake and built a custom security graph. Without writing a single detection rule, the graph surfaced unusual patterns of activity and overprivileged access that we escalated for investigation. We didn't know what we were looking for, the graph surfaced the risk for us by revealing anomalous activity patterns and unusual access combinations driven by relationships, not alerts.” – SVP, Security Solutions | Financial Services organization Custom graph API usage for creating graph and querying graph will be billed starting April 1, 2026, according to the Sentinel graph meter. Creating custom graph Using the Sentinel VS Code extension, you can generate graphs to validate hunting hypotheses, such as understanding attack paths and blast radius of a phishing campaign, reconstructing multi‑step attack chains, and identifying structurally unusual or high‑risk behavior, making it accessible to your team and AI agents. Once persisted via a schedule job, you can access these custom graphs from the ready-to-use section in the graph experience in the Defender portal. Graphs experience in the Microsoft Defender portal After creating your custom graphs, you can access them in the graphs section of the Defender portal under Sentinel. From there, you’ll be able to perform interactive graph-based investigations, such as using a graph built for phishing analysis to help you quickly evaluate the impact of a recent incident, profile the attacker, and trace its paths across Microsoft telemetry and third-party data. The new graph experience lets you run Graph Query Language (GQL) queries, view the graph schema, visualize the graph, view graph results in tabular format, and interactively travers the graph to the next hop with a simple click. Sentinel MCP Sentinel MCP entity analyzer [General availability, April 1] Entity analyzer provides reasoned, out-of-the-box risk assessments that help you quickly understand whether a URL or user identity represents potential malicious activity. The capability analyzes data across modalities including threat intelligence, prevalence, and organizational context to generate clear, explainable verdicts you can trust. Entity analyzer integrates easily with your agents through Sentinel MCP server connections to first-party and third-party AI runtime platforms, or with your SOAR workflows through Logic Apps. The entity analyzer is also a trusted foundation for the Defender Triage Agent and delivers more accurate alert classifications and deeper investigative reasoning. This removes the need to manually engineer evaluation logic and creates trust for analysts and AI agents to act with higher accuracy and confidence. Learn more about entity analyzer and in our blog here. Entity analyzer will be billed starting April 1, 2026, based on Security Compute Units (SCU) consumption. Learn more about MCP billing. Sentinel MCP graph tool collection [Public preview, April 20] Graph tool collection helps you visualize and explore relationships between identities and device assets, threats and activities signals ingested by data connectors and alerted by analytic rules. The tool provides a clear graph view that highlights dependencies and configuration gaps, which makes it easier to understand how content interacts across your environment. This helps security teams assess coverage, optimize content deployment, and identify areas that may need tuning or additional data sources, all from a single, interactive workspace. Executing graph queries via the MCP tools will trigger the graph meter. Claude MCP connector [Public preview, April 1] Anthropic Claude can connect to Sentinel through a custom MCP connector, giving you AI-assisted analysis across your Sentinel environment. Microsoft provides step-by-step guidance for configuring a custom connector in Claude that securely connects to a Sentinel MCP server. With this connection you can summarize incidents, investigate alerts, and reason over security signals while keeping data inside Microsoft's security boundary. Access to large language models (LLMs) is managed through Microsoft authentication and role-based controls, supporting faster triage and investigation workflows while maintaining compliance and visibility. Threat Intelligence CVEs of interest in the Threat Intelligence Briefing Agent [Public preview in April] The Threat Intelligence Briefing Agent delivers curated intelligence based on your organization’s configuration, preferences, and unique industry and geographic needs. CVEs of interest which highlights vulnerabilities actively discussed across the security landscape and assesses their potential impact on your environment, delivering more timely threat intelligence insights. The agent automatically incorporates internet exposure data powered by the Sentinel platform to surface threats targeting technologies exposed in your organization. Together, these enhancements help you focus faster on the threats that matter most, without manual investigation. Microsoft Security Store Security Store embedded in Entra [General availability, March 23] As identity environments grow more complex, teams need to move faster and extend Entra with trusted third‑party capabilities that address operational, compliance, and risk challenges. The Security Store embedded directly into Entra lets you discover and adopt Entra‑ready agents and solutions in your workflow. You can extend Entra with identity‑focused agents that surface privileged access risk, identity posture gaps, network access insights, and overall identity health, turning identity data into clear recommendations and reports teams can use immediately. You can also enhance Entra with Verified ID and External ID integrations that strengthen identity verification, streamline account recovery, and reduce fraud across workforce, consumer, and external identities. Security Store embedded in Microsoft Purview [General availability, March 31] Extending data security across the digital estate requires visibility and enforcement into new data sources and risk surfaces, often requiring a partnered approach. The Security Store embedded directly into Purview lets you discover and evaluate integrated solutions inside your data security workflows. Relevant partner capabilities surface alongside context, making it easier to strengthen data protection, address regulatory requirements, and respond to risk without disrupting existing processes. You can quickly assess which solutions align to data security scenarios, especially with respect to securing AI use, and how they can leverage established classifiers, policies, and investigation workflows in Purview. Keeping integration discovery in‑flow and purchases centralized through the Security Store means you move faster from evaluation to deployment, reducing friction and maintaining a secure, consistent transaction experience. Security Store Advisor [General availability, March 23] Security teams today face growing complexity and choice. Teams often know the security outcome they need, whether that's strengthening identity protection, improving ransomware resilience, or reducing insider risk, but lack a clear, efficient way to determine which solutions will help them get there. Security Store Advisor provides a guided, natural-language discovery experience that shifts security evaluation from product‑centric browsing to outcome‑driven decision‑making. You can describe your goal in plain language, and the Advisor surfaces the most relevant Microsoft and partner agents, solutions, and services available in the Security Store, without requiring deep product knowledge. This approach simplifies discovery, reduces time spent navigating catalogs and documentation, and helps you understand how individual capabilities fit together to deliver meaningful security outcomes. Sentinel promotions Extending signups for promotional 50 GB commitment tier [Through June 2026] The Sentinel promotional 50 GB commitment tier offers small and mid-sized organizations a cost-effective entry point into Sentinel. Sign up for the 50 GB commitment tier until June 30, 2026, and maintain the promotional rate until March 31, 2027. This promotion is available globally with regional variations in pricing and accessible through EA, CSP, and Direct channels. Visit the Sentinel pricing page for details and to get started. Sentinel RSAC 2026 sessions All week – Sentinel product demos, Microsoft Booth #5744 Mon Mar 23, 3:55 PM – RSAC 2026 main stage Keynote with CVP Vasu Jakkal [KEY-M10W] Ambient and autonomous security: Building trust in the agentic AI era Tue Mar 24, 10:30 AM – Live Q&A session, Microsoft booth #5744 and online Ask me anything with Microsoft Security SMEs and real practitioners Tue Mar 24, 11 AM – Sentinel data lake theater session, Microsoft booth #5744 From signals to insights: How Microsoft Sentinel data lake powers modern security operations Tue Mar 24, 2 PM – Sentinel SIEM theater session, Microsoft booth #5744 Vibe-coding SecOps automations with the Sentinel playbook generator Wed Mar 25, 12 PM – Executive event at Palace Hotel with Threat Protection GM Scott Woodgate The AI risk equation: Visibility, control, and threat acceleration Wed Mar 25, 1:30 PM – Sentinel graph theater session, Microsoft booth #5744 Bringing knowledge-driven context to security with Microsoft Sentinel graph Wed Mar 25, 5 PM – MISA theater session, Microsoft booth #5744 Cut SIEM costs without reducing protection: A Sentinel data lake case study Thu Mar 26, 1 PM – Security Store theater session, Microsoft booth #5744 What's next for Security Store: Expanding in portal and smarter discovery All week – 1:1 meetings with Microsoft security experts Meet with Microsoft Defender and Sentinel SIEM and Defender Security Operations Additional resources Sentinel data lake video playlist Explore the full capabilities of Sentinel data lake as a unified, AI-ready security platform that is deeply integrated into the Defender portal Sentinel data lake FAQ blog Get answers to many of the questions we’ve heard from our customers and partners on Sentinel data lake and billing AI‑powered SIEM migration experience ninja training Walk through the SIEM migration experience, see how it maps detections, surfaces connector requirements, and supports phased migration decisions SIEM migration experience documentation Learn how the SIEM migration experience analyzes your exports, maps detections and connectors, and recommends prioritized coverage Accenture collaborates with Microsoft to bring agentic security and business resilience to the front lines of cyber defense Stay connected Check back each month for the latest innovations, updates, and events to ensure you’re getting the most out of Sentinel. We’ll see you in the next edition!
Understand New Sentinel Pricing Model with Sentinel Data Lake Tier
Introduction on Sentinel and its New Pricing Model Microsoft Sentinel is a cloud-native Security Information and Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) platform that collects, analyzes, and correlates security data from across your environment to detect threats and automate response. Traditionally, Sentinel stored all ingested data in the Analytics tier (Log Analytics workspace), which is powerful but expensive for high-volume logs. To reduce cost and enable customers to retain all security data without compromise, Microsoft introduced a new dual-tier pricing model consisting of the Analytics tier and the Data Lake tier. The Analytics tier continues to support fast, real-time querying and analytics for core security scenarios, while the new Data Lake tier provides very low-cost storage for long-term retention and high-volume datasets. Customers can now choose where each data type lands—analytics for high-value detections and investigations, and data lake for large or archival types—allowing organizations to significantly lower cost while still retaining all their security data for analytics, compliance, and hunting. Please flow diagram depicts new sentinel pricing model: Now let's understand this new pricing model with below scenarios: Scenario 1A (PAY GO) Scenario 1B (Usage Commitment) Scenario 2 (Data Lake Tier Only) Scenario 1A (PAY GO) Requirement Suppose you need to ingest 10 GB of data per day, and you must retain that data for 2 years. However, you will only frequently use, query, and analyze the data for the first 6 months. Solution To optimize cost, you can ingest the data into the Analytics tier and retain it there for the first 6 months, where active querying and investigation happen. After that period, the remaining 18 months of retention can be shifted to the Data Lake tier, which provides low-cost storage for compliance and auditing needs. But you will be charged separately for data lake tier querying and analytics which depicted as Compute (D) in pricing flow diagram. Pricing Flow / Notes The first 10 GB/day ingested into the Analytics tier is free for 31 days under the Analytics logs plan. All data ingested into the Analytics tier is automatically mirrored to the Data Lake tier at no additional ingestion or retention cost. For the first 6 months, you pay only for Analytics tier ingestion and retention, excluding any free capacity. For the next 18 months, you pay only for Data Lake tier retention, which is significantly cheaper. Azure Pricing Calculator Equivalent Assuming no data is queried or analyzed during the 18-month Data Lake tier retention period: Although the Analytics tier retention is set to 6 months, the first 3 months of retention fall under the free retention limit, so retention charges apply only for the remaining 3 months of the analytics retention window. Azure pricing calculator will adjust accordingly. Scenario 1B (Usage Commitment) Now, suppose you are ingesting 100 GB per day. If you follow the same pay-as-you-go pricing model described above, your estimated cost would be approximately $15,204 per month. However, you can reduce this cost by choosing a Commitment Tier, where Analytics tier ingestion is billed at a discounted rate. Note that the discount applies only to Analytics tier ingestion—it does not apply to Analytics tier retention costs or to any Data Lake tier–related charges. Please refer to the pricing flow and the equivalent pricing calculator results shown below. Monthly cost savings: $15,204 – $11,184 = $4,020 per month Now the question is: What happens if your usage reaches 150 GB per day? Will the additional 50 GB be billed at the Pay-As-You-Go rate? No. The entire 150 GB/day will still be billed at the discounted rate associated with the 100 GB/day commitment tier bucket. Azure Pricing Calculator Equivalent (100 GB/ Day) Azure Pricing Calculator Equivalent (150 GB/ Day) Scenario 2 (Data Lake Tier Only) Requirement Suppose you need to store certain audit or compliance logs amounting to 10 GB per day. These logs are not used for querying, analytics, or investigations on a regular basis, but must be retained for 2 years as per your organization’s compliance or forensic policies. Solution Since these logs are not actively analyzed, you should avoid ingesting them into the Analytics tier, which is more expensive and optimized for active querying. Instead, send them directly to the Data Lake tier, where they can be retained cost-effectively for future audit, compliance, or forensic needs. Pricing Flow Because the data is ingested directly into the Data Lake tier, you pay both ingestion and retention costs there for the entire 2-year period. If, at any point in the future, you need to perform advanced analytics, querying, or search, you will incur additional compute charges, based on actual usage. Even with occasional compute charges, the cost remains significantly lower than storing the same data in the Analytics tier. Realized Savings Scenario Cost per Month Scenario 1: 10 GB/day in Analytics tier $1,520.40 Scenario 2: 10 GB/day directly into Data Lake tier $202.20 (without compute) $257.20 (with sample compute price) Savings with no compute activity: $1,520.40 – $202.20 = $1,318.20 per month Savings with some compute activity (sample value): $1,520.40 – $257.20 = $1,263.20 per month Azure calculator equivalent without compute Azure calculator equivalent with Sample Compute Conclusion The combination of the Analytics tier and the Data Lake tier in Microsoft Sentinel enables organizations to optimize cost based on how their security data is used. High-value logs that require frequent querying, real-time analytics, and investigation can be stored in the Analytics tier, which provides powerful search performance and built-in detection capabilities. At the same time, large-volume or infrequently accessed logs—such as audit, compliance, or long-term retention data—can be directed to the Data Lake tier, which offers dramatically lower storage and ingestion costs. Because all Analytics tier data is automatically mirrored to the Data Lake tier at no extra cost, customers can use the Analytics tier only for the period they actively query data, and rely on the Data Lake tier for the remaining retention. This tiered model allows different scenarios—active investigation, archival storage, compliance retention, or large-scale telemetry ingestion—to be handled at the most cost-effective layer, ultimately delivering substantial savings without sacrificing visibility, retention, or future analytical capabilities.From Manual Vetting to Continuous Trust: Automating Publisher Screening with AI
Publisher screening is a software supply-chain reality: if a publisher account is compromised, a single update can reach thousands of machines—and recovery is costly. Microsoft Trust & Security Services applies AI to automate screening at onboarding and keep reassessing publishers as new signals appear. Multiple “checker” agents evaluate identity, reputation, and post-approval behavior, then combine evidence into a consistent risk score and an approve/deny/escalate decision, with an evidence-backed explanation that supports auditability and appeals while reducing operational toil.RSAC 2026: What the Sentinel Playbook Generator actually means for SOC automation
RSAC 2026 brought a wave of Sentinel announcements, but the one I keep coming back to is the playbook generator. Not because it's the flashiest, but because it touches something that's been a real operational pain point for years: the gap between what SOC teams need to automate and what they can realistically build and maintain. I want to unpack what this actually changes from an operational perspective, because I think the implications go further than "you can now vibe-code a playbook." The problem it solves If you've built and maintained Logic Apps playbooks in Sentinel at any scale, you know the friction. You need a connector for every integration. If there isn't one, you're writing custom HTTP actions with authentication handling, pagination, error handling - all inside a visual designer that wasn't built for complex branching logic. Debugging is painful. Version control is an afterthought. And when something breaks at 2am, the person on call needs to understand both the Logic Apps runtime AND the security workflow to fix it. The result in most environments I've seen: teams build a handful of playbooks for the obvious use cases (isolate host, disable account, post to Teams) and then stop. The long tail of automation - the enrichment workflows, the cross-tool correlation, the conditional response chains - stays manual because building it is too expensive relative to the time saved. What's actually different now The playbook generator produces Python. Not Logic Apps JSON, not ARM templates - actual Python code with documentation and a visual flowchart. You describe the workflow in natural language, the system proposes a plan, asks clarifying questions, and then generates the code once you approve. The Integration Profile concept is where this gets interesting. Instead of relying on predefined connectors, you define a base URL, auth method, and credentials for any service - and the generator creates dynamic API calls against it. This means you can automate against ServiceNow, Jira, Slack, your internal CMDB, or any REST API without waiting for Microsoft or a partner to ship a connector. The embedded VS Code experience with plan mode and act mode is a deliberate design choice. Plan mode lets you iterate on the workflow before any code is generated. Act mode produces the implementation. You can then validate against real alerts and refine through conversation or direct code edits. This is a meaningful improvement over the "deploy and pray" cycle most of us have with Logic Apps. Where I see the real impact For environments running Sentinel at scale, the playbook generator could unlock the automation long tail I mentioned above. The workflows that were never worth the Logic Apps development effort might now be worth a 15-minute conversation with the generator. Think: enrichment chains that pull context from three different tools before deciding on a response path, or conditional escalation workflows that factor in asset criticality, time of day, and analyst availability. There's also an interesting angle for teams that operate across Microsoft and non-Microsoft tooling. If your SOC uses Sentinel for SIEM but has Palo Alto, CrowdStrike, or other vendors in the stack, the Integration Profile approach means you can build cross-vendor response playbooks without middleware. The questions I'd genuinely like to hear about A few things that aren't clear from the documentation and that I think matter for production use: Security Copilot dependency: The prerequisites require a Security Copilot workspace with EU or US capacity. Someone in the blog comments already flagged this as a potential blocker for organizations that have Sentinel but not Security Copilot. Is this a hard requirement going forward, or will there be a path for Sentinel-only customers? Code lifecycle management: The generated Python runs... where exactly? What's the execution runtime? How do you version control, test, and promote these playbooks across dev/staging/prod? Logic Apps had ARM templates and CI/CD patterns. What's the equivalent here? Integration Profile security: You're storing credentials for potentially every tool in your security stack inside these profiles. What's the credential storage model? Is this backed by Key Vault? How do you rotate credentials without breaking running playbooks? Debugging in production: When a generated playbook fails at 2am, what does the troubleshooting experience look like? Do you get structured logs, execution traces, retry telemetry? Or are you reading Python stack traces? Coexistence with Logic Apps: Most environments won't rip and replace overnight. What's the intended coexistence model between generated Python playbooks and existing Logic Apps automation rules? I'm genuinely optimistic about this direction. Moving from a low-code visual designer to an AI-assisted coding model with transparent, editable output feels like the right architectural bet for where SOC automation needs to go. But the operational details around lifecycle, security, and debugging will determine whether this becomes a production staple or stays a demo-only feature. Would be interested to hear from anyone who's been in the preview - what's the reality like compared to the pitch?Agentic Use Cases for Developers on the Microsoft Sentinel Platform
Interested in building an agent with Sentinel platform solutions but not sure where to start? This blog will help you understand some common use cases for agent development that we’ve seen across our partner ecosystem. SOC teams don’t need more alerts - they need fast, repeatable investigation and response workflows. Security Copilot agents can help orchestrate the steps analysts perform by correlating across the Sentinel data lake, executing targeted KQL queries, fetching related entities, enriching with context, and producing an evidence-backed decision without forcing analysts to switch tools. Microsoft Sentinel platform is a strong foundation for agentic experiences because it exposes a normalized security data layer, an investigation surface based on incidents and entities, and extensive automation capabilities. An agent can use these primitives to correlate identity, endpoint, cloud, and network telemetry; traverse entity relationships; and recommend remediation actions. In this blog, I will break down common agentic use cases that developers can implement on Sentinel platform, framed in buildable and repeatable patterns: Identify the investigation scenario Understand the required Sentinel data connectors and KQL queries Build enrichment and correlation logic Summarize findings with supporting evidence and recommended remediation steps Use Case 1: Identity & Access Intelligence Investigation Scenario: Is this risky sign-in part of an attack path? Signals Correlated: Identity access telemetry: Source user, IPs, target resources, MFA logs Authentication outcomes and diversity: Success vs. failure, Geographic spread Identity risk posture: User risk level/state Post-auth endpoint execution: Suspicious LOLBins Correlation Logic: An analyst receives a risky sign-in signal for a user and needs to determine whether the activity reflects expected behavior - such as travel, remote access, or MFA friction - or if it signals the early stage of an identity compromise that could escalate into privileged access and downstream workload impact. Practical Example: Silverfort Identity Threat Triage Agent, which is built on a similar framework, takes the user’s UPN as input and builds a bounded, last-24-hour investigation across authentication activity, MFA logs, user risk posture, and post-authentication endpoint behavior. Outcome: By correlating identity risk signals, MFA logs, sign-in success and failure patterns, and suspicious execution activity following authentication, the agent connects the initial risky sign-in to endpoint behavior, enabling the analyst to quickly assess compromise likelihood, identify escalation indicators, and determine appropriate remediation actions. “Our collaboration with Microsoft Sentinel and Security Copilot underscores the central role identity plays across every stage of attack path triage. By integrating Silverfort’s identity risk signals with Microsoft Entra ID and Defender for Endpoint, and sharing rich telemetry across platforms, we enable Security Copilot Agent to distinguish isolated anomalies from true identity-driven intrusions - while dramatically reducing the manual effort traditionally required for incident response and threat hunting. AI-driven agents accelerate analysis, enrich investigative context, reduce dwell time, and speed detection. Instead of relying on complex queries or deep familiarity with underlying data structures, security teams can now perform seamless, identity-centric reasoning within a single interaction.” - Frank Gasparovic, Director of Solution Architecture, Technology Alliances, Silverfort Use Case 2: Cyber Resilience, Backup & Recovery Investigation Scenario: Are the threats detected on a backup indicative of production impact and recovery risk? Signals Correlated: Backup threat telemetry: Backup threat scan alerts, risk analysis events, affected host/workload, detection timestamps Cross-vendor security alerts: Endpoint, network, and cloud security alerts for the same host/workload in the same time window Correlation Logic: The agent correlates threat signals originating from the backup environment with security telemetry associated with same host/workload to validate whether there is corroborating evidence in the production environment and whether activity aligns in time. Practical Example: Commvault Security Investigation Agent, which is built on a similar framework, takes a hostname as input and builds an investigation across Commvault Threat Scan / Risk Analysis events and third-party security telemetry. By correlating backup-originating detections with production security activity for the same host, the agent determines whether the backup threat signal aligns with observable production impact. Outcome: By correlating backup threat detections with endpoint, network, and cloud security telemetry while validating timing alignment, event spikes, and data coverage, the agent connects a backup originating threat signal to production evidence, enabling the analyst to quickly assess impact likelihood and determine appropriate actions such as containment or recovery-point validation. Use Case 3: Network, Exposure & Connectivity Investigation Scenario: Is this activity indicative of legitimate remote access, or does it demonstrate suspicious connectivity and access attempts that increase risk to private applications and internal resources. Signals Correlated: User access telemetry: Source user, source IPs/geo, device/context, destinations Auth and enforcement outcomes: Success vs. failure, MFA allow/block Behavior drift: new/rare IPs/locations, unusual destination/app diversity. Suspicious activity indicators: Risky URLs/categories, known-bad indicators, automated/bot-like patterns, repeated denied private app access attempts Correlation Logic: An analyst receives an alert for a specific user and needs to determine whether the activity reflects expected behavior such as travel, remote work, or VPN usage, or whether it signals the early stages of a compromise that could later extend into private application access. Practical Example: Zscaler ZIA ZPA Correlation Agent starts with a username and builds a bounded, last-24-hour investigation across Zscaler Internet Access and Zscaler Private Access activity. By correlating user internet behavior, access context, and private application interactions, the agent connects the initial Zscaler alert to any downstream access attempts or authentication anomalies, enabling the analyst to quickly assess risk, identify suspicious patterns, and determine whether Zscaler policy adjustments are required. Outcome: Provides a last‑24‑hour verdict on whether the activity reflects expected access patterns or escalation toward private application access, and recommends next actions—such as closing as benign drift, escalating for containment, or tuning access policy—based on correlated evidence. Use Case 4: Endpoint & Runtime Intelligence Investigation Scenario: Is this process malicious or a legitimate admin action? Signals Correlated: Execution context: Process chain, full command line, signer, unusual path Account & logon: Initiating user, logon type (RDP/service), recent risky sign-ins Tooling & TTPs: LOLBins, credential access hints, lateral movement tooling Network behavior: Suspicious connections, repeated callbacks/beaconing Correlation Logic: A PowerShell alert triggers on a production server. The agent ties the process to its parent (e.g., spawned by a web worker vs. an admin shell), validates the command-line indicators, correlates outbound connections from the same PID to a first-seen destination, and checks for immediate follow-on persistence and any adjacent runtime alerts in the same time window. Outcome: Classifies the activity as malicious vs. admin and produces an evidence pack (process tree, key command indicators, destinations, persistence/tamper artifacts) as well as the recommended containment step (isolate host and revoke/reset initiating credentials). Use Case 5: Exposure & Exploitability Investigation Scenario: What is the likelihood of exploitation and blast radius? Signals Correlated: Asset exposure: Internet-facing status, exposed services/ports, and identity or network paths required to reach the workload Exploit activity: Defender alerts on the resource, IDS/WAF hits, IOC matches, and first seen exploit or probing attempts Risk amplification signals: Internet communication, high privilege access paths, and indicators that the workload processes PII or sensitive data Blast radius: Downstream reachability to crown jewel systems (e.g., databases, key vaults) and trust relationships that could enable escalation Correlation Logic: An analyst receives a Medium/High Microsoft Defender for Cloud alert on a workload and needs to determine whether it’s a standalone detection or an exploitable exposure that can quickly progress into privilege abuse and data impact. The agent correlates exposure evidence signals such as internet reachability, high-privilege paths, and indicators that workload handles sensitive data by analyzing suspicious network connections in the same bounded time window. Outcome: Produces a resource-specific risk analysis that explains why the Defender for Cloud alert is likely to be exploited, based on asset attack surface and effective privileges, plus any supporting activity in the same 24-hour window. Use Case 6: Threat Intelligence & Adversary Context Investigation Scenario: Is this activity aligned with known attacker behavior? Signals Correlated: Behavior sequence: ordered events identity → execution → network. Technique mapping: MITRE ATT&CK technique IDs, typical progression, and required prerequisites. Threat intel match: campaign/adversary, TTPs, IOCs Correlation Logic: A chain of identity compromise, PowerShell obfuscation, and periodic outbound HTTPS is observed. The agent maps the sequence to ATT&CK techniques and correlates it with threat intel that matches a known adversary campaign. Outcome: Surfaces adversary-aligned behavioral insights and TTP context to help analysts assess intrusion likelihood and guide the next investigation steps. Summary This blog is intended to help developers better understand the key use cases for building agents with Microsoft Sentinel platform along with practical patterns to apply when designing and implementing agent scenarios. Need help? If you have any issues as you work to develop your agent, the App Assure team is available to assist via our Sentinel Advisory Service. Reach out via our intake form. Resources Learn more: For a practical overview of how ISVs can move from Sentinel data lake onboarding to building agents, see the Accelerate Agent Development blog - https://aka.ms/AppAssure_AccelerateAgentDev. Get hands-on: Explore the end-to-end journey from Sentinel data lake onboarding to a working Security Copilot agent through the accompanying lab modules available on GitHub Repo: https://github.com/suchandanreddy/Microsoft-Sentinel-Labs.Extending App Assure’s Sentinel Promise through the Sentinel Advisory Service
At RSAC last year, we introduced the Microsoft Sentinel Promise with a straightforward commitment to our customers: that third-party data ingestion for Sentinel is reliable, predictable, and scalable without the need for complex custom coding and architecting. In other words, your connectors for Sentinel will just work. That promise has guided App Assure’s work ever since, enabling customers to bring data from across their various security solutions into Sentinel to drive clearer insights and stronger protection. Over the past year, that foundation has proven critical. As organizations move from legacy SIEM platforms to Sentinel, consistent access to high-quality third-party data remains essential, not only for detection and response, but increasingly for advanced analytics and AI-driven security experiences. With the introduction of Microsoft Sentinel data lake, customers and partners can now reason over security data cost-effectively and at greater scale. But as many teams are discovering, unlocking those outcomes requires more than simply getting data in the door. At App Assure, we’ve seen a clear pattern emerge. Software companies often revisit connector design and data modeling multiple times as they help our mutual customers move from ingestion to analytics, and then again as they begin building agentic AI solutions, whether through Security Copilot, MCP server integrations, or custom workflows. Each iteration brings new requirements and new questions, often upstream of where teams initially started. That’s why, as an extension of our Sentinel Promise, we’re excited to announce the Sentinel Advisory Service from App Assure. A Natural Evolution The Sentinel Advisory Service builds directly on the work we’ve been doing through the Sentinel Promise and our support for Sentinel data lake. Our commitment to helping customers bring third-party data into the platform remains unchanged. What this new service adds is an expert-guided approach focused on helping software companies design customer solutions and data strategies with downstream outcomes in mind. Rather than addressing ingestion challenges in isolation, the Sentinel Advisory Service is designed to help teams think end-to-end across the Sentinel platform: aligning connector design, data structure, and platform capabilities to support advanced scenarios such as AI agents, analytics jobs, and marketplace-ready solutions. The goal is fewer rebuild cycles, faster progress, and greater confidence as teams move from data ingestion to meaningful security outcomes. What Sentinel Advisory Service Offers The Sentinel Advisory Service is a no-cost program delivered by App Assure in close collaboration with Sentinel engineering to continually make it easier to build and maintain connectors that utilize data lake and facilitate building agentic AI solutions on top of it. Key areas of support include: Technical workshops covering best practices for Sentinel integrations, data lake usage, and agent development Advisory guidance on leveraging Sentinel platform features to support AI-driven security scenarios Code samples and design reviews to unblock development and improve solution quality Break/fix assistance and escalation paths to Microsoft engineers to assist with software development and provide product feedback Early Partner Momentum We’re already seeing strong momentum from software companies participating in early advisory engagements. Partners are working with App Assure to refine Sentinel integrations and explore new agentic AI scenarios built on a solid data foundation. Their work reflects a broader shift across the ecosystem: moving beyond connectivity alone, toward building differentiated, outcome-driven security solutions on Sentinel. Below are some of the partners we’ve already worked with and what they have to say about the experience: Srinivas Chakravarty, VP of Cloud & AI Ecosystem, Gigamon “Through active collaboration with Microsoft Security Engineering and the App Assure team, we quickly created and published our CCF-Push connector to deliver enriched network-derived telemetry from the Gigamon Deep Observability Pipeline into Sentinel data lake. In a parallel sprint, with the introduction of our initial Security Copilot Agent, security teams can apply AI to this network intelligence within Sentinel to uncover threats hidden in encrypted and lateral traffic that might otherwise go undetected.” Mario Espinoza, Chief Product Officer, Illumio "Illumio is proud to partner with Microsoft, proving together that cybersecurity can scale. Microsoft's product management teams collaborated closely with Illumio on several integrations, most recently Illumio Insights Agent for Security Copilot and Illumio for Microsoft Sentinel Data Lake Connector. Together, Illumio and Sentinel solutions empower customers to correlate joint security threat findings and ensure breaches don't become disasters." Duncan Barnes, Director Global Alliances, RSA "The partnership between RSA and Microsoft, exemplified by the RSA Advisor for Admin Threats agent, underscores the value of the Sentinel Advisory Service. It highlights how collaborative innovation drives differentiated, outcome-driven security solutions, ensuring customers can migrate with confidence and harness the full potential of agentic AI to find, prioritize, and resolve threats faster and more efficiently." Vlad Sushitsky, Research Engineer, Semperis “We developed a Security Copilot agent that correlates Tier-0 classifications, identity attack paths, and Indicators of Exposure for any given identity. The correlation is powered by Semperis Lightning telemetry, streamed into the Data Lake through our new data connector. What used to take analysts hours of manually pivoting across multiple tables to piece together an identity's risk profile now happens instantly in a single conversation. This gives our joint customers significantly better visibility into identity threats, faster investigations, and substantial cost savings. Developing the agent on Security Copilot was smooth and fast — thanks to great collaboration with the Microsoft team, we had it up and running in a matter of days.” Harman Kaur, SVP Technology Strategy and AI, Tanium "This partnership with Microsoft represents a new level of AI and security integration. Through the Microsoft Sentinel Advisory Service, Tanium integrated AI agents into Microsoft Security Copilot, including the recently launched Tanium Security Triage Agent with Identity Insights. By unifying Tanium’s real-time endpoint intelligence with identity information from the Microsoft Sentinel data lake and Entra ID, security analysts gain the speed, precision and confidence needed to stop threats before they escalate." Ariel Negrin, Worldwide Head of Partnerships and Alliances, Upwind "Through the Sentinel Advisory Service and the broader App Assure engineering teams, Microsoft has been side‑by‑side with us, from connector and data model design to advanced AI scenarios, helping us architect for high‑quality ingestion, graph‑aware context, and AI security use cases. That level of hands‑on guidance and roadmap alignment means our joint customers get faster time to value, fewer integration rebuilds, and a more intelligent security experience built on top of the Microsoft security stack they already trust." Matthew Payne, Field Engineer, XBOW "The team worked alongside us from the start, not just on ingestion, but on designing how XBOW's penetration testing data should flow into Sentinel to actually drive downstream outcomes. Their engineering guidance helped us build agents for Security Copilot and a Sentinel data connector that turns validated exploit paths into actionable security telemetry. The result is that joint customers can trigger a pentest, see real findings in Sentinel alongside their existing alerts, and investigate and remediate without leaving the Microsoft security console." Paul Lopez, Principal Solutions Architect, Zscaler "Organizations looking to improve visibility across internet and private access activities benefit from integrating these signals. Through collaboration with Microsoft’s App Assure team, Zscaler’s ZIA–ZPA Correlation Agent for Security Copilot leverages data from the Sentinel Data Lake to deliver a single, cohesive view, simplifying investigations and enabling faster response times." Getting Started The Sentinel Advisory Service is available today for developers building on Microsoft Sentinel and Sentinel data lake. If you’re enhancing an existing connector, designing an AI-driven security solution, or planning how to translate data into action on the Sentinel platform, App Assure is here to help. As always, our focus remains on customer confidence, ensuring that as Sentinel evolves, the ecosystem around it can evolve just as reliably. The Sentinel Advisory Service is the next step in delivering on that promise. Reach out to us here.Strengthening your Security Posture with Microsoft Security Store Innovations at RSAC 2026
Security teams are facing more threats, more complexity, and more pressure to act quickly - without increasing risk or operational overhead. What matters is being able to find the right capability, deploy it safely, and use it where security work already happens. Microsoft Security Store was built with that goal in mind. It provides a single, trusted place to discover, purchase, and deploy Microsoft and partner-built security agents and solutions that extend Microsoft Security - helping you improve protection across SOC, identity, and data protection workflows. Today, the Security Store includes 75+ security agents and 115+ solutions from Microsoft and trusted partners - each designed to integrate directly into Microsoft Security experiences and meet enterprise security requirements. At RSAC 2026, we’re announcing capabilities that make it easier to turn security intent into action- by improving how you discover agents, how quickly you can put them to use, and how effectively you can apply them across workflows to achieve your security outcomes. Meet the Next Generation of Security Agents Security agents are becoming part of day-to-day operations for many teams - helping automate investigations, enrich signals, and reduce manual effort across common security tasks. Since Security Store became generally available, Microsoft and our partners have continued to expand the set of agents that integrate directly with Microsoft Defender, Sentinel, Entra, Purview, Intune and Security Copilot. Some of the notable partner-built agents available through Security Store include: XBOW Continuous Penetration Testing Agent XBOW’s penetration testing agents perform pen-tests, analyzes findings, and correlates those findings with a customer’s Microsoft Defender detections. XBOW integrates offensive security directly into Microsoft Security workflows by streaming validated, exploitable AppSec findings into Microsoft Sentinel and enabling investigation through XBOW's Copilot agents in Microsoft Defender. With XBOW’s pen-testing agents, offensive security can run continuously to identify which vulnerabilities are actually exploitable, and how to improve posture and detections. Tanium Incident Scoping Agent The Tanium Incident Scoping Agent (In Preview) is bringing real-time endpoint intelligence directly into Microsoft Defender and Microsoft Security Copilot workflows. The agent automatically scopes incidents, identifies impacted devices, and surfaces actionable context in minutes-helping teams move faster from detection to containment. By combining Tanium’s real-time intelligence with Microsoft Security investigations, you can reduce manual effort, accelerate response, and maintain enterprise-grade governance and control. Zscaler In Microsoft Sentinel, the Zscaler ZIA–ZPA Correlation Agent correlates ZIA and ZPA activity for a given user to speed malsite/malware investigations. It highlights suspicious patterns and recommends ZIA/ZPA policy changes to reduce repeat exposure. These agents build on a growing ecosystem of Microsoft and partner capabilities designed to work together, allowing you to extend Microsoft Security with specialized expertise where it has the most impact. Discover and Deploy Agents and Solutions in the Flow of Security Work Security teams work best when they don’t have to switch tools to make decisions. That’s why Security Store is embedded directly into Microsoft Security experiences - so you can discover and evaluate trusted agents and solutions in context, while working in the tools you already use. When Security Store became generally available, we embedded it into Microsoft Defender, allowing SOC teams to discover and deploy trusted Microsoft and partner‑built agents and solutions in the middle of active investigations. Analysts can now automate response, enrich investigations, and resolve threats all within the Defender portal. At RSAC, we’re expanding this approach across identity and data security. Strengthening Identity Security with Security Store in Microsoft Entra Identity has become a primary attack surface - from fraud and automated abuse to privileged access misuse and posture gaps. Security Store is now embedded in Microsoft Entra, allowing identity and security teams to discover and deploy partner solutions and agents directly within identity workflows. For external and verified identity scenarios, Security Store includes partner solutions that integrate with Entra External ID and Entra Verified ID to help protect against fraud, DDoS attacks, and intelligent bot abuse. These solutions, built by partners such as IDEMIA, AU10TIX, TrueCredential, HUMAN Security, Akamai and Arkose Labs help strengthen trust while preserving seamless user experiences. For enterprise identity security, more than 15 agents available through the Entra Security Store provide visibility into privileged activity and identity risk, posture health and trends, and actionable recommendations to improve identity security and overall security score. These agents are built by partners such as glueckkanja, adaQuest, Ontinue, BlueVoyant, Invoke, and Performanta. This allows you to extend Entra with specialized identity security capabilities, without leaving the identity control plane. Extending Data Protection with Security Store in Microsoft Purview Protecting sensitive data requires consistent controls across where data lives and how it moves. Security Store is now embedded in Microsoft Purview, enabling teams responsible for data protection and compliance to discover partner solutions directly within Purview DLP workflows. Through this experience, you can extend Microsoft Purview DLP with partner data security solutions that help protect sensitive data across cloud applications, enterprise browsers, and networks. These include solutions from Microsoft Entra Global Secure Access and partners such as Netskope, Island, iBoss, and Palo Alto Networks. This experience will be available to customers later this month, as reflected on the M365 roadmap. By discovering solutions in context, teams can strengthen data protection without disrupting established compliance workflows. Across Defender, Entra, and Purview, purchases continue to be completed through the Security Store website, ensuring a consistent, secure, and governed transaction experience - while discovery and evaluation happen exactly where teams already work. Outcome-Driven Discovery, with Security Store Advisor As the number of agents and solutions in the Store grow, finding the right fit for your security scenario quickly becomes more important. That’s why we’re introducing the AI‑guided Security Store Advisor, now generally available. You can describe your goal in natural language - such as “investigate suspicious network activity” and receive recommendations aligned to that outcome. Advisor also includes side-by-side comparison views for agents and solutions, helping you review capabilities, integrated services, and deployment requirements more quickly and reduce evaluation time. Security Store Advisor is designed with Responsible AI principles in mind, including transparency and explainability. You can learn more about how Responsible AI is applied in this experience in the Security Store Advisor Responsible AI FAQ. Overall, this outcome‑driven approach reduces time to value, improves solution fit, and helps your team move faster from intent to action. Learning from the Security Community with Ratings and Reviews Security decisions are strongest when informed by real world use cases. This is why we are introducing Security Store ratings and reviews from security professionals who have deployed and used agents and solutions in production environments. These reviews focus on practical considerations such as integration quality, operational impact, and ease of use, helping you learn from peers facing similar security challenges. By sharing feedback, the security community helps raise the bar for quality and enables faster, more informed decisions, so teams can adopt agents and solutions with greater confidence and reduce time to value. Making agents easier to use post deployment Once you’ve deployed your agents, we’re introducing several new capabilities that make it easier to work with your agents in your daily workflows. These updates help you operationalize agents faster and apply automation where it delivers real value. Interactive chat with agents in Microsoft Defender lets SOC analysts ask questions to agents with specialized expertise, such as understanding impacted devices or understanding what vulnerabilities to prioritize directly in the Defender portal. By bringing a conversational experience with agents into the place where analysts do most of their investigation work, analysts can seamlessly work in collaboration with agents to improve security. Logic App triggers for agents enables security teams to include security agents in their automated, repeatable workflows. With this update, organizations can apply agentic automation to a wider variety of security tasks while integrating with their existing tools and workflows to perform tasks like incident triage and access reviews. Product combinations in Security Store make it easier to deploy complete security solutions from a single streamlined flow - whether that includes connectors, SaaS tools, or multiple agents that need to work together. Increasingly, partners are building agents that are adept at using your SaaS security tools and security data to provide intelligent recommendations - this feature helps you deploy them faster with ease. A Growing Ecosystem Focused on Security Outcomes As the Security Store ecosystem continues to expand, you gain access to a broader set of specialized agents and solutions that work together to help defend your environment - extending Microsoft Security with partner innovation in a governed and integrated way. At the same time, Security Store provides partners a clear path to deliver differentiated capabilities directly into Microsoft Security workflows, aligned to how customers evaluate, adopt, and use security solutions. Get Started Visit https://securitystore.microsoft.com/ to discover security agents and solutions that meet your needs and extend your Microsoft Security investments. If you’re a partner, visit https://securitystore.microsoft.com/partners to learn how to list your solution or agent and reach customers where security decisions are made. Where to find us at RSAC 2026? Security Reborn in the Era of AI workshop Get hands‑on guidance on building and deploying Security Copilot agents and publishing them to the Security Store. March 23 | 8:00 AM | The Palace Hotel Register: Security Reborn in the Era of AI | Microsoft Corporate Microsoft Security Store: An Inside Look Join us for a live theater session exploring what’s coming next for Security Store March 26 | 1:00 PM | Microsoft Security Booth #5744 | North Expo Hall Visit us at the Booth Experience Security Store firsthand - test the experience and connect with experts. Microsoft Booth #1843
