Azure Firewall integration in Security Copilot: protect networks at machine speed with gen AI
Today, at Microsoft Build, we are excited to announce the availability of the Azure Firewall integration in Security Copilot. It helps analysts perform detailed investigations of the malicious traffic intercepted by the IDPS feature of their firewalls across their entire fleet using natural language questions in the Security Copilot portal. Azure Firewall is a cloud-native and intelligent network firewall security service that provides best of breed threat protection for your cloud workloads running in Azure. It's a fully stateful firewall as a service with built-in high availability and unrestricted cloud scalability. In this blog we will walk through the newly announced Azure Firewall integration in Security Copilot. gin enabled in the Security Copilot portal These capabilities were announced at RSA. Take a look at this blog to learn more about the user journey and value that Copilot can deliver: Bringing generative AI to Azure network security with new Microsoft Copilot integrations. There are four primary capabilities now in preview which are outlined below. Get top IDPS signature hits This capability retrieves the top IDPS signature hits for an Azure Firewall. It helps the user get information about the traffic intercepted by the IDPS feature by simply asking natural language questions instead of the user having to construct KQL queries manually. Get details on an IDPS signature This capability enriches the threat profile of an IDPS signature beyond the information found in logs. It helps the user get additional details about an IDPS signature instead of requiring them to manually source this information. Search across firewalls for an IDPS signature This capability looks for a given IDPS signature across your tenant, subscription or resource group. It helps users perform a fleet-wide search (over any scope) for a threat across all their Firewalls instead of searching for the threat manually. Secure your environment using IDPS This capability generates recommendations to secure your environment using Azure Firewall’s IDPS feature. It helps users get information from documentation about using Azure Firewall’s IDPS feature to secure their environment instead of having to look up this information manually. Get started Learn more in our documentation about these capabilities and how to access them today!Azure Firewall Protection Against Apache Struts Vulnerability - CVE-2023-50164
In this blog, we delve into the critical Apache Struts vulnerability CVE-2023-50164, demonstrating how Azure Firewall Premium can effectively block this high-severity threat. Learn about our detailed proof-of-concept setup, see how Azure Firewall Premium's Intrusion Detection and Prevention System (IDPS) protects against such vulnerabilities, and explore how Copilot for Security enhances the investigation process, ensuring your systems remain secure.
Azure WAF Integration in Security Copilot is Now Generally Available
We’re excited to announce the general availability (GA) of Azure Web Application Firewall (WAF) integration with Microsoft Security Copilot. This marks a significant advancement in web application protection, bringing together Azure WAF’s industry-leading defense with the AI-powered capabilities of Security Copilot to transform how security teams detect, investigate, and respond to threats. Why This Integration Is a Game-Changer Modern web applications face relentless threats - from SQL injections and cross-site scripting (XSS) to bot attacks and sophisticated Layer 7 DDoS attempts. Defending against these threats requires more than just reactive measures; it demands intelligent, scalable solutions. With Azure WAF now integrated into Security Copilot, security teams can gain: Proactive threat analysis: Quickly uncover attack patterns and identify emerging threats. Optimized WAF configurations: Use AI insights to fine-tune rules and policies. Accelerated investigations: Leverage Copilot’s generative AI to streamline incident triage and response. This integration enables teams to work smarter and faster - turning raw data into actionable intelligence with the help of natural language prompts and AI-guided workflows. Seamless Protection Across Azure Platforms Azure WAF protects applications behind Azure Front Door and Azure Application Gateway, offering centralized, cloud-native security at scale. Now, with Security Copilot, analyzing WAF diagnostic logs no longer requires manual parsing or deep scripting expertise. Instead, AI delivers contextual insights directly to your SOC teams, cloud admins, and DevSecOps engineers. Whether you're investigating blocked requests or tuning security policies, this integration helps reduce operational overhead while strengthening your overall security posture. What Can You Do with Azure WAF in Security Copilot Let’s explore some of the core capabilities now available: SQL Injection (SQLi) Attack Analysis Understand why Azure WAF blocked specific SQLi attempts through detailed summaries of diagnostic logs and correlation of related events over time. Cross-Site Scripting (XSS) Attack Insights Get clear explanations for WAF’s enforcement actions against XSS attacks, with trend analysis across your environment. Top Offending IPs Analysis Identify the most malicious IPs triggering WAF rules, along with insights into the behaviors and rule patterns that led to their blocking. Most Triggered Rules and Actions Gain visibility into your most active WAF rules - helping prioritize tuning efforts and enhance threat detection effectiveness. These capabilities are designed to turn WAF data into actionable knowledge - without the need for custom queries or extensive log review. Built for the Future of Intelligent Security As threats continue to evolve, so must our defenses. The Azure WAF and Security Copilot integration represents the next generation of web application protection - combining automation, AI reasoning, and expert knowledge to deliver adaptive security at cloud scale. By augmenting your team with AI, you can stay ahead of attackers, protect critical apps, and respond faster than ever before. Learn More and Get Started The GA of Azure WAF integration in Microsoft Security Copilot is more than just a feature release - it’s a new paradigm for web application security. Explore the capabilities today by visiting the Azure WAF documentation. Want to talk to us? Reach out to the Azure WAF product team to share feedback or request a demo. Let’s build a more secure web, together.Copilot in Azure embedded experience for Azure Firewall integration in Security Copilot
Today, at Microsoft Ignite, we are excited to announce that we are building on our announcement at RSA and Microsoft Build earlier this year and integrating Security Copilot even more closely with our Network Security products. These capabilities were launched on the Security Copilot portal (also called the standalone experience) earlier this year. The Security Copilot attack investigation capabilities for Azure Firewall can now be queried via the Copilot in Azure experience (also called the embedded experience) directly on the Azure portal where you regularly interact with your Azure Firewalls, bringing interactive, generative AI-powered capabilities even closer to where you work. To learn more about the user journey and value that Copilot can deliver, see Bringing generative AI to Azure network security with new Microsoft Copilot integrations | Microsoft Azure Blog. Investigating Azure Firewall IDPS attacks using Copilot As a member of your organization’s network security team, it is imperative that you understand the kinds of threats your network security devices are intercepting. Azure Firewall intercepts and blocks malicious traffic using a deep-packet inspection technology called IDPS (Intrusion Detection and Prevention System) today. However, when you need to perform a deeper investigation of the threats that Firewall catches using IDPS, you need to do this manually - which is a non-trivial and time-consuming task. The Azure Firewall integration in Security Copilot helps analysts perform these investigations with the speed and scale of AI. Retrieve the top IDPS signature hits for an Azure Firewall The first step in an investigation is to pick a specific Azure Firewall and see the threats it has intercepted. Analysts today spend hours writing custom queries or navigating through several manual steps to retrieve threat information from Log Analytics workspaces. With Copilot, you just need to ask about the threats you'd like to see, and Copilot will present you with the requested information. signature hits" capability invoked via Copilot in Azure Copilot presents the top 5 IDPS signatures flagged in the requested time period along with a brief summary of why each signature is a threat and volumetric information on the number of flows associated with each signature. Enrich the threat profile of an IDPS signature beyond log information The next step in an investigation is to better understand the nature and impact of these threats. Today, analysts must retrieve additional contextual information such as geographical location of IPs, threat rating of a fully qualified domain name (FQDN), details of common vulnerabilities and exposures (CVEs) associated with an IDPS signature and more, manually from various sources. This process is slow and involves a lot of effort. Copilot pulls information from the relevant sources to enrich your threat data in a fraction of the time. Copilot provides a brief summary of both the attacks as well as a comparison between the two, emphasizing the differing severities and why it is crucial to respond to these threats quickly. You can drill deeper if you’d like by asking follow up questions or by asking the same question again to get Copilot to reinforce or substantiate any of its answers. For example, reinforcing that you’d like to understand how much of a threat an attack is, even though Copilot may have already provided an answer to that question, is a great way for junior analysts, or anyone operating outside of their normal area of focus to truly understand what is happening. Look for a given IDPS signature across your environment Once a detailed investigation has been performed for a single Azure Firewall and single threat, analysts would like to determine if these threats were seen elsewhere in their environment. All the manual work you performed for an investigation for a single Azure Firewall is something you would have to repeat fleet wide. Copilot can do this at machine speed and help correlate this information with other security products to better understand how attackers are targeting your entire infrastructure. Copilot searches across your entire tenant and finds that another Firewall also saw one of the attacks over the timespan you defined. Your suspicions are unfortunately confirmed. This is a threat that is targeting multiple points of entry in your environment. You can ask a follow up question to search for another high severity threat as well, now that you know that at least one threat was not contained to a single Firewall and has proliferated across your environment. Secure your environment using IDPS Now that you are convinced this attack warrants attention from your organization, as a first step, you can ask Copilot for some recommendations on how to better use your Firewall to protect against these kinds of attacks. Copilot produces a response that combines contextual information from your conversation alongside general network security best practices and specific guidance from Azure Firewall documentation to produce a response that is informative. Looking forward In addition to the open prompting experience covered in this blog. We are also working on embedding Copilot directly into the Firewall portal so that you can simply click buttons with suggested prompts that automatically pull relevant information from context and generate helpful responses – making it easy to invoke Copilot when contextually relevant while still giving you complete control over its usage. We are also excited to share a sneak peek of upcoming capabilities like Natural language to KQL for IDPS that are currently being tested by a small group of customers. This capability can act as a query assistant helping you craft complex queries but can also help find answers to questions you have by running automatically generated queries on the appropriate Log Analytics workspaces to retrieve the relevant data. This is only the start of our journey toward infusing AI into every aspect of our Network Security offerings making it easier for our customers to be more productive and quickly analyze threats and mitigate vulnerabilities to stay ahead of their adversaries. These capabilities are in preview and over the coming weeks we look forward to adding new capabilities and making improvements based on your feedback. Get started Learn more in our documentation about these capabilities and how to use them today!
