Protection Against Email Bombs with Microsoft Defender for Office 365
In today's digital age, email remains a critical communication tool for businesses and individuals. However, with the increasing sophistication of cyberattacks, email security has become more important than ever. One such threat that has been growing is the email bombing, a form of net abuse that sends large volumes of email to an address to overflow the mailbox, overwhelm the server, or distract attention from important email messages indicating a security breach. Email bomb - Wikipedia Understanding Email Bombing Email bombing, typically involves subscribing victims to a large number of legitimate newsletter and subscription services. Each subscription service sends email notifications, which in aggregate create a large stream of emails into the victim’s inbox, making email triage for legitimate emails very difficult. This form of attack is essentially a denial-of-service (DDOS) on the victim's email triaging attention budget. Hybrid Attacks More recently, email subscription bombs have been coupled with simultaneous lures on Microsoft Teams, Zoom, or via phone calls. Attackers impersonate IT support and offer to help solve the email problem caused by the spike of unwanted emails, ultimately compromising the victim's system or installing malware on their system. This type of attack is brilliant because it creates a sense of urgency and legitimacy, making victims more likely to accept remote assistance and inadvertently allow malware planting or data theft. Read about the use of mail bombs where threat actors misused Quick Assist in social engineering attacks leading to ransomware | Microsoft Security Blog. Incidence and Purpose of Email Bombing Email bombing attacks have been around for many years but can have significant impacts on targeted individuals, such as enterprise executives, HR or finance representatives. These attacks are often used as precursors to more serious security incidents, including malware planting, ransomware, and data exfiltration. They can also mute important security alerts, making it easier for attackers to carry out fraudulent activities without detection. New Detection technology for Mail Bombing attacks To address these types of attacks Microsoft Defender has now released a comprehensive solution involving a durable block to limit the influx of emails, the majority of which are often spam. By intelligently tracking message volumes across different sources and time intervals, this new detection leverages historical patterns of the sender and signals related to spam content. It prevents mail bombs from being dropped into the user’s inbox and the messages are rather sent to the Junk folder (of Outlook). Note: Safe sender lists in Outlook continue to be honored, so emails from trustworthy sources are not unexpectedly moved to the Junk folder (in order to prevent false positives). Since the initial rollout that started in early May, we’ve seen a tremendous impact in blocking mail bombing attacks out of our customers’ inboxes: How to leverage new “Mail bombing” detection technology in SOC experiences 1. Investigation and hunting: SOC analysts can now view the new Detection technology as Mail bombing within the following surfaces: Threat Explorer, Email entity page and Advanced Hunting empowering them to investigate, filter and hunt for threats related to mail bombing. 2. Custom detection rule: To analyze the frequency and volume of attacks from mail bombing vector, or to have automated alerts configured to notify SOC user whenever there is a mail bombing attack, SOC analysts can utilize the custom detection rules in Advanced hunting by writing a KQL query using data in DetectionMethods column of EmailEvents table. Here’s a sample query to get you started: EmailEvents | where Timestamp > ago(1d) | where DetectionMethods contains "Mail bombing" | project Timestamp, NetworkMessageId, SenderFromAddress, Subject, ReportId The SOC experiences are rolled out worldwide to all customers. Conclusion Email bombs represent an incidental threat in the world of cybersecurity. With the new detection technology for Mail Bombing, Microsoft Defender for Office 365 protects users from these attacks and empowers Security Operations Center Analysts to ensure to gain visibility into such attacks and take quick actions to keep organizations safe! Note: The Mail bombing protection is available by default in Exchange Online Protection and Microsoft Defender for Office 365 plans. This blog post is associated with Message Center post MC1096885. Also read Part 2 of our blog series to learn more about protection against multi-modal attacks involving mail bombing and correlation of Microsoft Teams activity in Defender. Watch this video to learn more: Microsoft Defender for Office 365 | Mail Bombing and Mixed-Mode Attack Protection Learn: Detection technology details table What's on the Email entity page Filterable properties in the All email view in Threat Explorer
Part 3: Build custom email security reports with Power BI and workbooks in Microsoft Sentinel
TL;DR: We're releasing a brand-new Power BI template for email security reporting and a major update (v3) to the Microsoft Sentinel workbook. Both solutions share the same rich visuals and insights. Choose Power BI for quick deployment without Sentinel, or the Sentinel workbook for extended data retention and multi-tenant scenarios. Get started in minutes with either option. Introduction Security teams in both small and large organizations track key metrics to make critical security decisions and identify meaningful trends in their organizations. While Microsoft Defender for Office 365 provides rich, built-in reporting capabilities, many security teams need custom reporting solutions to create dedicated views, combine multiple data sources, and derive deeper insights tailored to their unique requirements. Earlier last year (Part 1 and Part 2) we shared examples of how you can use workbooks in Microsoft Sentinel to build a custom email security insights dashboard for Microsoft Defender for Office 365. Today, we are excited to announce the release of a new Power BI template file for Microsoft Defender for Office 365 customers, along with an updated version of the Microsoft Defender for Office 365 Detections and Insights workbook in Microsoft Sentinel. Both solutions share the same visual design and structure, giving you a consistent experience regardless of which platform you choose. Power BI template file - Microsoft Defender for Office 365 Detections and Insights: Microsoft Sentinel workbook - Microsoft Defender for Office 365 Detections and Insights: NEW: Power BI template file for Microsoft Defender for Office 365 Detections and Insights This custom reporting template file utilizes Power BI and Microsoft Defender XDR Advanced Hunting through the Microsoft Graph security API. It is designed for Microsoft Defender for Office 365 customers who have access to Advanced Hunting but are not using Microsoft Sentinel. Advanced Hunting data in Microsoft Defender for Office 365 tables is available for up to 30 days. The reporting template uses these same data tables to visualize insights into an organization's email security, including protection, detection, and response metrics provided by Microsoft Defender for Office 365. Note: If data retention beyond 30 days is required, customers can use the Microsoft Defender for Office 365 Detections and Insights workbook in Microsoft Sentinel. You can find the new .pbit template file and detailed instructions on how to set up and use it in the unified Microsoft Sentinel and Microsoft 365 Defender GitHub repository. This new Power BI template uses the same visuals and structure as the Microsoft Defender for Office 365 Detections and Insights workbook in Microsoft Sentinel, providing an easy way to gain deep email security insights across a wide range of use cases. UPDATED: Microsoft Defender for Office 365 Detections and Insights workbook in Microsoft Sentinel We are excited to announce the release of a new version (3.0.0) of the Microsoft Defender for Office 365 Detections and Insights workbook in Microsoft Sentinel. The workbook is part of the Microsoft Defender XDR solution in Microsoft Sentinel and can be installed and started to use with a few simple clicks. In this new release we incorporated feedback we have received from many customers in the past few months to add new visuals, updated existing visuals and add insights focusing on security operations. What’s New Here are some notable changes and new capabilities available in the updated workbook template. Improved structure: Headings and grouped insights have been added to tabs for easier navigation and understanding of metrics. Contextual explanations: Each tab, section, and visual now includes descriptions to help users interpret insights effectively. Drill-down capability: A single “Open query link” action allows users to view the underlying KQL query for each visual, enabling quick investigation and hunting by modifying conditions or removing summaries to access raw data. Detection Dashboard tab enhancements: Added an example Effectiveness metric, updated visuals to focus on overall Microsoft Defender for Office 365 protection values, and introduced new sections for Emerging Threats and Microsoft 365 Secure Email Gateway Performance. New Security Operations Center (SOC) Insights tab: Provides operational metrics such as Security Incident Response, Investigation, and Response Actions for SOC teams. Advanced threat insights: Includes new LLM-based content analysis detections and threat classification insights on the Emails – Phish Detections tab. External forwarding insights: Added deep visibility into Inbox rules and SMTP forwarding in Outlook, including destination details to assess potential data leakage risks. Geo-location improvements: Sender IPv4 insights now include top countries for better geographic context for each Threat types (Malware, Spam, Phish). Enhanced top attacked users and top senders: Added TotalEmailCount and Bad_Traffic_Percentage for richer context in top attacked users and senders charts. Expanded URL click insights: URL click-based threat detection visuals now include Microsoft 365 Copilot as a workload. How to use the workbook across multiple tenants If you manage multiple environments with Microsoft Sentinel — or you are an MSSP (Managed Security Service Provider) working across multiple customer tenants — you can also use the workbook in multi‑tenant scenarios. Once the required configuration is in place, you can change the Subscription and Workspace parameters in the workbook to be multi select and load data from one or multiple tenants. This enables to see deep email security insights in multi‑tenant environments, including: Aggregated multi‑tenant view: You can view aggregated insights across tenants in a single workbook view. By multi‑selecting tenants in the Subscription and Workspace parameters, the workbook automatically loads and combines data from all selected environments for all visuals on all tabs. Side‑by-side‑ comparison: For example, you can compare phishing detection trends or top attacked users across two or more tenants simply by opening the workbook in two browser windows placed side by side. Note: For the multiselect option‑ to work in the current workbook version, you need to manually adjust the Subscription and Workspace parameters. This configuration is planned to become the default in the next release of the workbook. Until then, you can simply apply this change using the workbook’s Edit mode. How to get the updated workbook version The latest version of the Microsoft Defender for Office 365 Detections and Insights workbook is available as part of the Microsoft Defender XDR solution in the Microsoft Sentinel - Content hub. Version 3.0.13 of the solution has the updated workbook template. If you already have the Microsoft Defender XDR solution deployed, version 3.0.13 is available now as an update. After you install the update, you will have the new workbook template available to use. Note: If you had the workbook saved from a previous template version, make sure you delete the old workbook and use the save button on the new template to recreate a new local version with the latest updates. If you install the Microsoft Defender XDR solution for the first time, you are deploying the latest version and will have the updated template ready to use. How to edit and share the workbook with others You can customize each visual easily. Simply edit the workbook after saving, then adjust the underlying KQL query, change the type of the visual, or create new insights. More information: Visualize your data using workbooks in Microsoft Sentinel | Microsoft Learn Granting other users access to the workbook also possible, see the Manage Access to Microsoft Sentinel Workbooks with Lower Scoped RBAC on the Microsoft Sentinel Blog. Do you have feedback related to reporting in Microsoft Defender for Office 365? You can provide direct feedback via filling the form: aka.ms/mdoreportingfeedback Do you have questions or feedback about Microsoft Defender for Office 365? Engage with the community and Microsoft experts in the Defender for Office 365 forum. More information Integrate Microsoft Defender XDR with Microsoft Sentinel Learn more about Microsoft Sentinel workbooks Learn more about Microsoft Defender XDR
Question malware autodelete
A malware like Trojan:Win32/Wacatac.C!ml can download other malware, this other malware can perform the malicious action, this malware can delete itself and in the next scan of antivirus free this malware that deleted itself will not have any trace and will not be detected by the scan?
Observed Automation Discrepancies
Hi Team ... I want to know the logic behind the Defender XDR Automation Engine . How it works ? I have observed Defender XDR Automation Engine Behavior contrary to expectations of identical incident and automation handling in both environments, discrepancies were observed. Specifically, incidents with high-severity alerts were automatically closed by Defender XDR's automation engine before reaching their SOC for review, raising concerns among clients and colleagues. Automation rules are clearly logged in the activity log, whereas actions performed by Microsoft Defender XDR are less transparent . A high-severity alert related to a phishing incident was closed by Defender XDR's automation, resulting in the associated incident being closed and removed from SOC review. Wherein the automation was not triggered by our own rules, but by Microsoft's Defender XDR, and sought clarification on the underlying logic.
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.
Cloud Posture + Attack Surface Signals in Microsoft Sentinel (Prisma Cloud + Cortex Xpanse)
Microsoft expanded Microsoft Sentinel’s connector ecosystem with Palo Alto integrations that pull cloud posture, cloud workload runtime, and external attack surface signals into the SIEM, so your SOC can correlate “what’s exposed” and “what’s misconfigured” with “what’s actively being attacked.” Specifically, the Ignite connectors list includes Palo Alto: Cortex Xpanse CCF and Palo Alto: Prisma Cloud CWPP. Why these connectors matter for Sentinel detection engineering Traditional SIEM pipelines ingest “events.” But exposure and posture are just as important as the events—because they tell you which incidents actually matter. Attack surface (Xpanse) tells you what’s reachable from the internet and what attackers can see. Posture (Prisma CSPM) tells you which controls are broken (public storage, permissive IAM, weak network paths). Runtime (Prisma CWPP) tells you what’s actively happening inside workloads (containers/hosts/serverless). In Sentinel, these become powerful when you can join them with your “classic” telemetry (cloud activity logs, NSG flow logs, DNS, endpoint, identity). Result: fewer false positives, faster triage, better prioritization. Connector overview (what each one ingests) 1) Palo Alto Prisma Cloud CSPM Solution What comes in: Prisma Cloud CSPM alerts + audit logs via the Prisma Cloud CSPM API. What it ships with: connector + parser + workbook + analytics rules + hunting queries + playbooks (prebuilt content). Best for: Misconfig alerts: public storage, overly permissive IAM, weak encryption, risky network exposure. Compliance posture drift + audit readiness (prove you’re monitoring and responding). 2) Palo Alto Prisma Cloud CWPP (Preview) What comes in: CWPP alerts via Prisma Cloud API (Compute/runtime side). Implementation detail: Built on Codeless Connector Platform (CCP). Best for: Runtime detections (host/container/serverless security alerts) “Exploit succeeded” signals that you need to correlate with posture and exposure. 3) Palo Alto Cortex Xpanse CCF What comes in: Alerts logs fetched from the Cortex Xpanse API, ingested using Microsoft Sentinel Codeless Connector Framework (CCF). Important: Supports DCR-based ingestion-time transformations that parse to a custom table for better performance. Best for: External exposure findings and “internet-facing risk” detection Turning exposure into incidents only when the asset is critical / actively targeted. Reference architecture (how the data lands in Sentinel) Here’s the mental model you want for all three: flowchart LR A[Palo Alto Prisma Cloud CSPM] -->|CSPM API: alerts + audit logs| S[Sentinel Data Connector] B[Palo Alto Prisma Cloud CWPP] -->|Prisma API: runtime alerts| S C[Cortex Xpanse] -->|Xpanse API: exposure alerts| S S -->|CCF/CCP + DCR Transform| T[(Custom Tables)] T --> K[KQL Analytics + Hunting] K --> I[Incidents] I -->P[SOAR Playbooks] K --> W[Workbooks / Dashboards] Key design point: Xpanse explicitly emphasizes DCR transformations at ingestion time, use that to normalize fields early so your queries stay fast under load. Deployment patterns (practical, SOC-friendly setup) Step 0 — Decide what goes to “analytics” vs “storage” If you’re using Sentinel’s data lake strategy, posture/exposure data is a perfect candidate for longer retention (trend + audit), while only “high severity” may need real-time analytics. Step 1 — Install solutions from Content Hub Install: Palo Alto Prisma Cloud CSPM Solution Palo Alto Prisma Cloud CWPP (Preview) Palo Alto Cortex Xpanse CCF Step 2 — Credentials & least privilege Create dedicated service accounts / API keys in Palo Alto products with read-only scope for: CSPM alerts + audit CWPP alerts Xpanse alerts/exposures Step 3 — Validate ingestion (don’t skip this) In Sentinel Logs: Locate the custom tables created by each solution (Tables blade). Run a basic sanity query: “All events last 1h” “Top 20 alert types” “Distinct severities” Tip: Save “ingestion smoke tests” as Hunting queries so you can re-run them after upgrades. Step 4 — Turn on included analytics content (then tune) The Prisma Cloud CSPM solution comes with multiple analytics rules, hunting queries, and playbooks out of the box—enable them gradually and tune thresholds before going wide. Detection engineering: high-signal correlation recipes Below are patterns that consistently outperform “single-source alerts.” I’m giving them as KQL templates using placeholder table names because your exact custom table names/columns are workspace-dependent (you’ll see them after install). Recipe 1 — “Internet-exposed + actively probed” (Xpanse + network logs) Goal: Only fire when exposure is real and there’s traffic evidence. let xpanse = <XpanseTable> | where TimeGenerated > ago(24h) | where Severity in ("High","Critical") | project AssetIp=<ip_field>, Finding=<finding_field>, Severity, TimeGenerated; let net = <NetworkFlowTable> | where TimeGenerated > ago(24h) | where Direction == "Inbound" | summarize Hits=count(), SrcIps=make_set(SrcIp, 50) by DstIp; xpanse | join kind=inner (net) on $left.AssetIp == $right.DstIp | where Hits > 50 | project TimeGenerated, Severity, Finding, AssetIp, Hits, SrcIps Why it works: Xpanse gives you exposure. Flow/WAF/Firewall gives you intent. Recipe 2 — “Misconfiguration that creates a breach path” (CSPM + identity or cloud activity) Goal: Prioritize posture findings that coincide with suspicious access or admin changes. let posture = <PrismaCSPMTable> | where TimeGenerated > ago(7d) | where PolicySeverity in ("High","Critical") | where FindingType has_any ("Public", "OverPermissive", "NoMFA", "EncryptionDisabled") | project ResourceId=<resource_id>, Finding=<finding>, PolicySeverity, FirstSeen=TimeGenerated; let activity = <CloudActivityTable> | where TimeGenerated > ago(7d) | where OperationName has_any ("RoleAssignmentWrite","SetIamPolicy","AddMember","CreateAccessKey") | project ResourceId=<resource_id>, Actor=<caller>, OperationName, TimeGenerated; posture | join kind=inner (activity) on ResourceId | project PolicySeverity, Finding, OperationName, Actor, FirstSeen, TimeGenerated | order by PolicySeverity desc, TimeGenerated desc Recipe 3 — “Runtime alert on a workload that was already high-risk” (CWPP + CSPM) Goal: Raise severity when runtime alerts occur on assets with known posture debt. let risky_assets = <PrismaCSPMTable> | where TimeGenerated > ago(30d) | where PolicySeverity in ("High","Critical") | summarize RiskyFindings=count() by AssetId=<asset_id>; <CWPPTable> | where TimeGenerated > ago(24h) | project AssetId=<asset_id>, AlertName=<alert>, Severity=<severity>, TimeGenerated, Details=<details> | join kind=leftouter (risky_assets) on AssetId | extend RiskScore = coalesce(RiskyFindings,0) | order by Severity desc, RiskScore desc, TimeGenerated desc SOC outcome: same runtime alert, different priority depending on posture risk. Operational (in real life) 1) Normalize severities early If Xpanse is using DCR transforms (it is), normalize severity to a consistent enum (“Informational/Low/Medium/High/Critical”) to simplify analytics. 2) Deduplicate exposure findings Attack surface tools can generate repeated findings. Use a dedup function (hash of asset + finding type + port/service) and alert only on “new or changed exposure.” 3) Don’t incident-everything Treat CSPM findings as: Incidents only when: critical + reachable + targeted OR tied to privileged activity Tickets when: high risk but not active Backlog when: medium/low with compensating controls 4) Make SOAR “safe by default” Automations should prefer reversible actions: Block IP (temporary) Add to watchlist Notify owners Open ticket with evidence bundle …and only escalate to destructive actions after confidence thresholds.Build custom email security reports and dashboards with workbooks in Microsoft Sentinel
Security teams in both small and large organizations track key metrics to make critical security decisions and identify meaningful trends in their organizations. Defender for Office 365 has rich, built-in reporting capabilities that provide insights into your security posture to support these needs. However, sometimes security teams require custom reporting solutions to create dedicated views, combine multiple data sources, and get additional insights to meet their needs. We previously shared an example of how you can leverage Power BI and the Microsoft Defender XDR Advanced Hunting APIs to build a custom dashboard and shared a template that you can customize and extend. In this blog, we will showcase how you can use workbooks in Microsoft Sentinel to build a custom dashboard for Defender for Office 365. We will also share an example workbook that is now available and can be customized based on your organization’s needs. Why use workbooks in Microsoft Sentinel? There are many potential benefits to using workbooks if you already use Microsoft Sentinel and already stream the hunting data tables for Defender for Office 365: You can choose to store data for a longer period of time via configuring longer retention for tables you use for your workbooks. For example you can store Defender for Office 365 EmailEvents table data for 1 year and build visuals over longer period of time. You can customize your visuals easily based on your organization’s needs. You can configure auto-refresh for the workbook to keep the data shown up to date. You can access ready to use workbook templates and customize them if it's needed. Getting started After you connect your data sources to Microsoft Sentinel, you can visualize and monitor the data using workbooks in Microsoft Sentinel. Ensure that Microsoft Defender XDR is installed in your Microsoft Sentinel instance, so you can use Defender for Office 365 data with a few simple steps. Detection and other Defender for Office 365 insights are already available as raw data in the Microsoft Defender XDR advanced hunting tables: EmailEvents - contains information about all emails EmailAttachmentInfo - contains information about attachments in emails EmailUrlInfo - contains information about URLs in emails EmailPostDeliveryEvents – contains information about Zero-hour auto purge (ZAP) or Manual remediation events UrlClickEvents - contains information about Safe Links clicks from email messages, Microsoft Teams, and Office 365 apps in supported desktop, mobile, and web apps. CloudAppEvents – CloudAppEvents can be used to visualize user reported Phish emails and Admin submissions with Defender for Office 365. The Microsoft Defender XDR solution in Microsoft Sentinel provides a connector to stream the above data continuously into Microsoft Sentinel. Microsoft Sentinel then allows you to create custom workbooks across your data or use existing workbook templates available with packaged solutions or as standalone content from the content hub. How to access the workbook template We are excited to share a new workbook template for Defender for Office 365 detection and data visualization, which is available in the Microsoft Sentinel Content hub. The workbook is part of the Microsoft Defender XDR solution. If you are already using our solution, this update is now available for you. If you are installing the Microsoft Defender XDR solution for the first time, this workbook will be available automatically after installation. After the Microsoft Defender XDR solution is installed (or updated to the latest available version), simply navigate to the Workbooks area in Microsoft Sentinel and on the Templates tab select Microsoft Defender for Office 365 Detection and Insights. Using the “View Template” action loads the workbook. What insights are available in the template? The template has the following sections with each section deep diving into various areas of email security, providing details and insights to security team members: Detection overview Email - Malware Detections Email - Phish Detections Email - Spam Detections Email - Business Compromise Detections (BEC) Email - Sender Authentication based Detections URL Detections and Clicks Email - Top Users/Senders Email - Detection Overrides False Negative/Positive Submissions File - Malware Detections (SharePoint, Teams and OneDrive) Post Delivery Detections and Admin Actions Email - Malware Detections Email - Business Compromise Detections (BEC) Email - Sender Authentication based Detections URL Detections and Clicks False Negative/Positive Submissions File - Malware Detections (SharePoint, Teams and OneDrive) Post Delivery Detections and Admin Actions Can I customize the workbook? Yes, absolutely. Based on the email attributes in the Advanced Hunting schema, you can define more functions and visuals as needed. For example, you can use the DetectionMethods field to analyse detections caught by capabilities like Spoof detections, Safe Attachment, and detection for emails containing URLs extracted from QR codes. You can also bring other data sources into Microsoft Sentinel as tables and use them when creating visuals in the workbook. This sample workbook is a powerful showcase for how you can use the Defender for Office 365 raw detection data to visualize email security detection insights directly in Microsoft Sentinel. It enables organizations to easily create customized dashboards that can help them analyse, track their threat landscape, and respond quickly—based on unique requirements. Do you have questions or feedback about Microsoft Defender for Office 365? Engage with the community and Microsoft experts in the Defender for Office 365 forum. More information Integrate Microsoft Defender XDR with Microsoft Sentinel. Learn more about Microsoft Sentinel workbooks. Microsoft Defender for Office 365 Detection Details Report – Updated Power BI template for Microsoft Sentinel and Log Analytics Learn more about Microsoft Defender XDR.Announcing AI Entity Analyzer in Microsoft Sentinel MCP Server - Public Preview
What is the Entity Analyzer? Assessing the risk of entities is a core task for SOC teams - whether triaging incidents, investigating threats, or automating response workflows. Traditionally, this has required building complex playbooks or custom logic to gather and analyze fragmented security data from multiple sources. With Entity Analyzer, this complexity starts to fade away. The tool leverages your organization’s security data in Sentinel to deliver comprehensive, reasoned risk assessments for any entity you encounter - starting with users and urls. By providing this unified, out-of-the-box solution for entity analysis, Entity Analyzer also enables the AI agents you build to make smarter decisions and automate more tasks - without the need to manually engineer risk evaluation logic for each entity type. And for those building SOAR workflows, Entity Analyzer is natively integrated with Logic Apps, making it easy to enrich incidents and automate verdicts within your playbooks. *Entity Analyzer is rolling out in Public Preview to Sentinel MCP server and within Logic Apps starting today. Learn more here. **Leave feedback on the Entity Analyzer here. Deep Dive: How the User Analyzer is already solving problems for security teams Problem: Drowning in identity alerts Security operations centers (SOCs) are inundated with identity-based threats and alert noise. Triaging these alerts requires analyzing numerous data sources across sign-in logs, cloud app events, identity info, behavior analytics, threat intel, and more, all in tandem with each other to reach a verdict - something very challenging to do without a human in the loop today. So, we introduced the User Analyzer, a specialized analyzer that unifies, correlates, and analyzes user activity across all these security data sources. Government of Nunavut: solving identity alert overload with User Analyzer Hear the below from Arshad Sheikh, Security Expert at Government of Nunavut, on how they're using the User Analyzer today: How it's making a difference "Before the User Analyzer, when we received identity alerts we had to check a large amount of data related to users’ activity (user agents, anomalies, IP reputation, etc.). We had to write queries, wait for them to run, and then manually reason over the results. We attempted to automate some of this, but maintaining and updating that retrieval, parsing, and reasoning automation was difficult and we didn’t have the resources to support it. With the User Analyzer, we now have a plug-and-play solution that represents a step toward the AI-driven automation of the future. It gathers all the context such as what the anomalies are and presents it to our analysts so they can make quick, confident decisions, eliminating the time previously spent manually gathering this data from portals." Solving a real problem "For example, every 24 hours we create a low severity incident of our users who successfully sign-in to our network non interactively from outside of our GEO fence. This type of activity is not high-enough fidelity to auto-disable, requiring us to manually analyze the flagged users each time. But with User Analyzer, this analysis is performed automatically. The User Analyzer has also significantly reduced the time required to determine whether identity-based incidents like these are false positives or true positives. Instead of spending around 20 minutes investigating each incident, our analysts can now reach a conclusion in about 5 minutes using the automatically generated summary." Looking ahead "Looking ahead, we see even more potential. In the future, the User Analyzer could be integrated directly with Microsoft Sentinel playbooks to take automated, definitive action such as blocking user or device access based on the analyzer’s results. This would further streamline our incident response and move us closer to fully automated security operations." Want similar benefits in your SOC? Get started with our Entity Analyzer Logic Apps template here. User Analyzer architecture: how does it work? Let’s take a look at how the User Analyzer works. The User Analyzer aggregates and correlates signals from multiple data sources to deliver a comprehensive analysis, enabling informed actions based on user activity. The diagram below gives an overview of this architecture: Step 1: Retrieve Data The analyzer starts by retrieving relevant data from the following sources: Sign-In Logs (Interactive & Non-Interactive): Tracks authentication and login activity. Security Alerts: Alerts from Microsoft Defender solutions. Behavior Analytics: Surfaces behavioral anomalies through advanced analytics. Cloud App Events: Captures activity from Microsoft Defender for Cloud Apps. Identity Information: Enriches user context with identity records. Microsoft Threat Intelligence: Enriches IP addresses with Microsoft Threat Intelligence. Steps 2: Correlate signals Signals are correlated using identifiers such as user IDs, IP addresses, and threat intelligence. Rather than treating each alert or behavior in isolation, the User Analyzer fuses signals to build a holistic risk profile. Step 3: AI-based reasoning In the User Analyzer, multiple AI-powered agents collaborate to evaluate the evidence and reach consensus. This architecture not only improves accuracy and reduces bias in verdicts, but also provides transparent, justifiable decisions. Leveraging AI within the User Analyzer introduces a new dimension of intelligence to threat detection. Instead of relying on static signatures or rigid regex rules, AI-based reasoning can uncover subtle anomalies that traditional detection methods and automation playbooks often miss. For example, an attacker might try to evade detection by slightly altering a user-agent string or by targeting and exfiltrating only a few files of specific types. While these changes could bypass conventional pattern matching, an AI-powered analyzer understands the semantic context and behavioral patterns behind these artifacts, allowing it to flag suspicious deviations even when the syntax looks benign. Step 4: Verdict & analysis Each user is given a verdict. The analyzer outputs any of the following verdicts based on the analysis: Compromised Suspicious activity found No evidence of compromise Based on the verdict, a corresponding recommendation is given. This helps teams make an informed decision whether action should be taken against the user. *AI-generated content from the User Analyzer may be incorrect - check it for accuracy. User Analyzer Example Output See the following example output from the user analyzer within an incident comment: *IP addresses have been redacted for this blog* &CK techniques, a list of malicious IP addresses the user signed in from (redacted for this blog), and a few suspicious user agents the user's activity originated from. typically have to query and analyze these themselves, feel more comfortable trusting its classification. The analyzer also gives recommendations to remediate the account compromise, and a list of data sources it used during analysis. Conclusion Entity Analyzer in Microsoft Sentinel MCP server represents a leap forward in alert triage & analysis. By correlating signals and harnessing AI-based reasoning, it empowers SOC teams to act on investigations with greater speed, precision, and confidence. *Leave feedback on the Entity Analyzer hereIgnite 2025: New Microsoft Sentinel Connectors Announcement
Microsoft Sentinel continues to set the pace for innovation in cloud-native SIEMs, empowering security teams to meet today’s challenges with scalable analytics, built-in AI, and a cost-effective data lake. Recognized as a leader by Gartner and Forrester, Microsoft Sentinel is a platform for all of security, evolving to unify signals, cut costs, and power agentic AI for the modern SOC. As Microsoft Sentinel’s capabilities expand, so does its connector ecosystem. With over 350+ integrations available, organizations can seamlessly bring data from a wide range of sources into Microsoft Sentinel’s analytics and data lake tiers. This momentum is driven by our partners, who continue to deliver new and enhanced connectors that address real customer needs. The past year has seen rapid growth in both the number and diversity of connectors, ensuring that Microsoft Sentinel remains robust, flexible, and ready to meet the demands of any security environment. Today we showcase some of the most recent additions to our growing Microsoft Sentinel ecosystem spanning categories such as cloud security, endpoint protection, identity, IT operations, threat intelligence, compliance, and more: New and notable integrations BlinkOps and Microsoft Sentinel BlinkOps is an enterprise-ready agentic security automation platform that integrates seamlessly with Microsoft Sentinel to accelerate incident response and streamline operations. With Blink, analysts can rapidly build sophisticated workflows and custom security agents—without writing a single line of code—enabling agile, scalable automation with both Microsoft Sentinel and any other security platform. This integration helps eliminate alert fatigue, reduce mean time to resolution (MTTR), and free teams to focus on what matters most: driving faster operations, staying ahead of cyber threats, and unlocking new levels of efficiency through reliable, trusted orchestration. Check Point for Microsoft Sentinel solutions Check Point’s External Risk Management (ERM) IOC and Alerts integration with Microsoft Sentinel streamlines how organizations detect and respond to external threats by automatically sending both alerts and indicators of compromise (IOCs) into Microsoft Sentinel. Through this integration, customers can configure SOAR playbooks to trigger automated actions such as updating security policies, blocking malicious traffic, and executing other security operations tasks. This orchestration reduces manual effort, accelerates response times, and allows IT teams, network administrators, and security personnel to focus on strategic threat analysis—strengthening the organization’s overall security posture. Cloudflare for Microsoft Sentinel Cloudflare’s integration with Microsoft Sentinel, powered by Logpush, brings detailed security telemetry from its Zero Trust and network services into your SIEM environment. By forwarding logs such as DNS queries, HTTP requests, and access events through Logpush, the connector enables SOC teams to correlate Cloudflare data with other sources for comprehensive threat detection. This integration supports automated workflows for alerting and investigation, helping organizations strengthen visibility across web traffic and identity-based access while reducing manual overhead. Contrast ADR for Microsoft Sentinel Contrast Security gives Microsoft Sentinel users their first-ever integration with Application Detection and Response (ADR), delivering real-time visibility into application and API attacks, eliminating the application-layer blind spot. By embedding security directly into applications, Contrast enables continuous monitoring and precise blocking of attacks, and with AI assistance, the ability to fix underlying software vulnerabilities in minutes. This integration helps security teams prioritize actionable insights, reduce noise, and better understand the severity of threats targeting APIs and web apps. GreyNoise Enterprise Solution for Microsoft Sentinel GreyNoise helps Microsoft Sentinel users cut through the noise by identifying and filtering out internet background traffic that clutters security alerts. Drawing from a global sensor network, GreyNoise classifies IP addresses that are scanning the internet, allowing SOC teams to deprioritize benign activity and focus on real threats. The integration supports automated triage, threat hunting, and enrichment workflows, giving analysts the context they need to investigate faster and more effectively. iboss Connector for Microsoft Sentinel The iboss Connector for Microsoft Sentinel delivers real-time ingestion of URL event logs, enriching your SIEM with high-fidelity web traffic insights. Logs are forwarded in Common Event Format (CEF) over Syslog, enabling streamlined integration without the need for a proxy. With built-in parser functions and custom workbooks, the solution supports rapid threat detection and investigation. This integration is especially valuable for organizations adopting Zero Trust principles, offering granular visibility into user access patterns and helping analysts accelerate response workflows. Mimecast Mimecast’s integration with Microsoft Sentinel consolidates email security telemetry into a unified threat detection environment. By streaming data from Mimecast into Microsoft Sentinel’s Log Analytics workspace, security teams can craft custom queries, automate response workflows, and prioritize high-risk events. This connector supports a wide range of use cases, from phishing detection to compliance monitoring, while helping reduce mean time to respond (MTTR). MongoDB Atlas Solution for Microsoft Sentinel MongoDB Atlas integrates with Microsoft Sentinel to provide visibility into database activity and security events across cloud environments. By forwarding database logs into Sentinel, this connector enables SOC teams to monitor access patterns, detect anomalies, and correlate database alerts with broader security signals. The integration allows for custom queries and dashboards to be built on real-time log data, helping organizations strengthen data security, streamline investigations, and maintain compliance for critical workloads. Onapsis Defend Onapsis Defend integrates with Microsoft Sentinel Solution for SAP to deliver real-time security monitoring and threat detection from both cloud and on-premises SAP systems. By forwarding Onapsis's unique SAP exploit detection, proprietary SAP zero-day rules, and expert SAP-focused insights into Microsoft Sentinel, this integration enables SOC teams to correlate SAP-specific risks with enterprise-wide telemetry and accelerate incident response. The integration supports prebuilt analytics rules and dashboards, helping organizations detect suspicious behavior and malicious activity, prioritize remediation, and strengthen compliance across complex SAP application landscapes. Proofpoint on Demand (POD) Email Security for Microsoft Sentinel Proofpoint’s Core Email Protection integrates with Microsoft Sentinel to deliver granular email security telemetry for advanced threat analysis. By forwarding events such as phishing attempts, malware detections, and policy violations into Microsoft Sentinel, SOC teams can correlate Proofpoint data with other sources for a unified view of risk. The connector supports custom queries, dashboards, and automated playbooks, enabling faster investigations and streamlined remediation workflows. This integration helps organizations strengthen email defenses and improve response efficiency across complex attack surfaces. Proofpoint TAP Solution Proofpoint’s Targeted Attack Protection (TAP), part of its Core Email Protection, integrates with Microsoft Sentinel to centralize email security telemetry for advanced threat detection and response. By streaming logs and events from Proofpoint into Microsoft Sentinel, SOC teams gain visibility into phishing attempts, malicious attachments, and compromised accounts. The connector supports custom queries, dashboards, and automated playbooks, enabling faster investigations and streamlined remediation workflows. This integration helps organizations strengthen email defenses while reducing manual effort across incident response processes. RSA ID Plus Admin Log Connector The RSA ID Plus Admin Log Connector integrates with Microsoft Sentinel to provide centralized visibility into administrative activity within RSA ID Plus Connector. By streaming admin-level logs into Sentinel, SOC teams can monitor changes, track authentication-related operations, and correlate identity events with broader security signals. The connector supports custom queries and dashboards, enabling organizations to strengthen oversight and streamline investigations across their hybrid environments. Rubrik Integrations with Microsoft Sentinel for Ransomware Protection Rubrik’s integration with Microsoft Sentinel strengthens ransomware resilience by combining data security with real-time threat detection. The connector streams anomaly alerts, such as suspicious deletions, modifications, encryptions, or downloads, directly into Microsoft Sentinel, enabling fast investigations and more informed responses. With built-in automation, security teams can trigger recovery workflows from within Microsoft Sentinel, restoring clean backups or isolating affected systems. The integration bridges IT and SecOps, helping organizations minimize downtime and maintain business continuity when facing data-centric threats. Samsung Knox Asset Intelligence for Microsoft Sentinel Samsung’s Knox Asset Intelligence integration with Microsoft Sentinel equips security teams with near real-time visibility into mobile device threats across Samsung Galaxy enterprise fleets. By streaming security events and logs from managed Samsung devices into Microsoft Sentinel via the Azure Monitor Log Ingestion API, organizations can monitor risk posture, detect anomalies, and investigate incidents from a centralized dashboard. This solution is especially valuable for SOC teams monitoring endpoints for large mobile workforces, offering data-driven insights to reduce blind spots and strengthen endpoint security without disrupting device performance. SAP S/4HANA Public Cloud – Microsoft Sentinel SAP S/4HANA Cloud, public edition integrates with Microsoft Sentinel Solution for SAP to deliver unified, real-time security monitoring for cloud ERP environments. This connector leverages Microsoft’s native SAP integration capabilities to stream SAP logs into Microsoft Sentinel, enabling SOC teams to correlate SAP-specific events with enterprise-wide telemetry for faster, more accurate threat detection and response. SAP Enterprise Threat Detection – Microsoft Sentinel SAP Enterprise Threat Detection integrates with Microsoft Sentinel Solution for SAP to deliver unified, real-time security monitoring across SAP landscapes and the broader enterprise. Normalized SAP logs, alerts, and investigation reports flow into Microsoft Sentinel, enabling SOC teams to correlate SAP-specific alerts with enterprise telemetry for faster, more accurate threat detection and response. SecurityBridge: SAP Data to Microsoft Sentinel SecurityBridge extends Microsoft Sentinel for SAP’s reach into SAP environments, offering real-time monitoring and threat detection across both cloud and on-premises SAP systems. By funneling normalized SAP security events into Microsoft Sentinel, this integration enables SOC teams to correlate SAP-specific risks with broader enterprise telemetry. With support for S/4HANA, SAP BTP, and NetWeaver-based applications, SecurityBridge simplifies SAP security auditing and provides prebuilt dashboards and templates to accelerate investigations. Tanium Microsoft Sentinel Connector Tanium’s integration with Microsoft Sentinel bridges real-time endpoint intelligence and SIEM analytics, offering a unified approach to threat detection and response. By streaming real-time telemetry and alerts into Microsoft Sentinel,Tanium enables security teams to monitor endpoint health, investigate incidents, and trigger automated remediation, all from a single console. The connector supports prebuilt workbooks and playbooks, helping organizations reduce dwell time and align IT and security operations around a shared source of truth. Team Cymru Pure Signal Scout for Microsoft Sentinel Team Cymru’s Pure Signal™ Scout integration with Microsoft Sentinel delivers high-fidelity threat intelligence drawn from global internet telemetry. By enriching Microsoft Sentinel alerts with real-time context on IPs, domains, and adversary infrastructure, Scout enables security teams to proactively monitor third-party compromise, track threat actor infrastructure, and reduce false positives. The integration supports external threat hunting and attribution, enabling analysts to discover command-and-control activity, signals of data exfiltration and compromise with greater precision. For organizations seeking to build preemptive defenses by elevating threat visibility beyond their borders, Scout offers a lens into the broader threat landscape at internet scale. Veeam App for Microsoft Sentinel The Veeam App for Microsoft Sentinel enhances data protection by streaming backup and recovery telemetry into your SIEM environment. The solution provides visibility into backup job status, anomalies, and potential ransomware indicators, enabling SOC teams to correlate these events with broader security signals. With support for custom queries and automated playbooks, this integration helps organizations accelerate investigations, trigger recovery workflows, and maintain resilience against data-centric threats. WithSecure Elements via Function for Microsoft Sentinel WithSecure’s Elements platform integrates with Microsoft Sentinel to provide centralized visibility into endpoint protection and detection events. By streaming incident and malware telemetry into Microsoft Sentinel, organizations can correlate endpoint data with broader security signals for faster, more informed responses. The solution supports a proactive approach to cybersecurity, combining predictive, preventive, and responsive capabilities, making it well-suited for teams seeking speed and flexibility without sacrificing depth. This integration helps reduce complexity while enhancing situational awareness across hybrid environments, and for companies to prevent or minimize any disruption. In addition to these solutions from our third-party partners, we are also excited to announce the following connectors published by the Microsoft Sentinel team, available now in Azure Marketplace and Microsoft Sentinel content hub. Alibaba Cloud Action Trail Logs AWS: Network Firewall AWS: Route 53 DNS AWS: Security Hub Findings AWS: Server Access Cisco Secure Endpoint GCP: Apigee GCP: CDN GCP: Cloud Monitor GCP: Cloud Run GCP: DNS GCP: Google Kubernetes Engine (GKE) GCP: NAT GCP: Resource Manager GCP: SQL GCP: VPC Flow GCP: IAM OneLogin IAM Oracle Cloud Infrastructure Palo Alto: Cortex Xpanse CCF Palo Alto: Prisma Cloud CWPP Ping One Qualys Vulnerability Management Salesforce Service Cloud Slack Audit Snowflake App Assure: The Microsoft Sentinel promise Every connector in the Microsoft Sentinel ecosystem is built to work out of the box, backed by the App Assure team and the Microsoft Sentinel promise. In the unlikely event that customers encounter any issues, App Assure stands ready to assist to ensure rapid resolution. With the new Microsoft Sentinel data lake features, we extend our promise for customers looking to bring their data to the lake. To request a new connector or features for an existing one, contact 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 What’s New in Microsoft Sentinel Microsoft App Assure App Assure home page App Assure services App Assure blog App Assure’s promise: Migrate to Sentinel with confidence App Assure’s Sentinel promise now extends to Microsoft Sentinel data lake RSAC 2025 new Microsoft Sentinel connectors announcement Microsoft Security Microsoft’s Secure Future Initiative Microsoft Unified SecOps
