Microsoft Security Copilot agents are AI-powered assistants designed to help security and IT teams manage day-to-day security operations more efficiently. Instead of your analysts manually working through every alert, these agents take on high-volume, repetitive tasks—such as triaging alerts, correlating signals, and summarizing incidents—so your team can focus on higher-value investigation and response work. They are built to: - Work alongside your existing security staff, not replace them - Continuously learn from your team’s feedback and adapt to your specific workflows - Operate within Microsoft’s Zero Trust framework to help maintain strong security and transparency In short, they help you reimagine how your team handles routine security work, so people can spend more time on decisions and less time on manual processing.

Security Copilot agents are designed to plug into the tools and processes you already rely on, rather than forcing you to start from scratch. Key integration points: - They connect with Microsoft Security products (such as the broader Microsoft security stack) so they can act on the same signals and data your team already uses. - They can also work with partner security solutions, helping you get value even in a mixed-tool environment. Control and customization: - You define the tasks they handle (for example, initial alert triage, enrichment, or drafting incident summaries). - You can refine how they perform over time by giving feedback, which the agents use to continuously improve. - You stay in control of decisions; the agents support and automate, but you choose how their output is used in your processes. This setup lets you gradually reshape your workflows—starting with routine tasks—without disrupting your current security operations.

Security Copilot agents are built to align with established security principles rather than operate as a black box. Security and transparency are supported in three main ways: 1. **Zero Trust foundation**: The agents operate within Microsoft’s Zero Trust framework, which emphasizes verifying explicitly, using least-privilege access, and assuming breach. This helps ensure that AI-driven actions follow the same security posture you expect from other tools in your environment. 2. **Clear role in your environment**: The agents are meant to assist with high-volume tasks, not make unchecked changes. You can see what they’re doing, review their recommendations, and decide how much autonomy to grant them. 3. **Continuous learning with your oversight**: As your team provides feedback, the agents adapt to your workflows. This learning process is guided by your input, so you can reimagine and refine how they operate over time while maintaining visibility into their behavior. The result is an AI assistant that helps you handle more work with the same team, while keeping you in control of how security decisions are made and executed.