Microsoft evolves Sentinel into agentic defence platform
Sentinel now ingests signals, builds richer contextual graphs, and hands off to AI agents that can act across environments with oversight.
Microsoft is transforming Sentinel from a traditional SIEM into a unified defence platform for the agentic AI era. It now incorporates features such as a data lake, semantic graphs and a Model Context Protocol (MCP) server to enable intelligent agents to reason over security data.
Sentinel’s enhancements allow defenders to combine structured, semi-structured data into vectorised, graph-based relationships. With that, AI agents grounded in Security Copilot and custom tools can automate triage, correlate alerts, reason about attack paths, and initiate response actions, while keeping human oversight.
The platform supports extensibility through open agent APIs, enabling partners and organisations to deploy custom agents through the MCP server.
Microsoft also adds protections for AI agents, such as prompt-injection resilience, task adherence controls, PII guardrails, and identity controls for agent estates. The evolution aims to shift cybersecurity from reactive to predictive operations.
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