Microsoft Expands Sentinel Into Agentic Security Platform With Unified Data Lake

"With graph-based context, semantic access, and agentic orchestration, Sentinel gives defenders a single platform to ingest signals, correlate across domains, and empower AI agents built in Security Copilot, VS Code using GitHub Copilot, or other developer platforms," Vasu Jakkal, corporate vice president at Microsoft Security, said in a post shared with The Hacker News."

"Microsoft released Sentinel data lake in public preview earlier this July as a purpose-built, cloud-native tool to ingest, manage, and analyze security data to provide better visibility and advanced analytics. With the data lake, the idea is to lay the foundation for an agentic defense by bringing data from diverse sources and enabling artificial intelligence (AI) models like Security Copilot to have the full context necessary to detect subtle patterns, correlate signals, and surface high-fidelity alerts."

"Sentinel ingests signals, either structured or semi-structured, and builds a rich, contextual understanding of your digitalestate through vectorized security data and graph-based relationships," Jakkal said."

"By integrating these insights with Defender and Purview, Sentinel brings graph-powered context to the tools security teams already use, helping defenders trace attack paths, understand impact, and prioritize response -- all within familiar workflows."

Microsoft expanded Sentinel into a unified, agentic security platform by launching the Sentinel data lake broadly and previewing Sentinel Graph and a Model Context Protocol server. The Sentinel data lake ingests and manages diverse structured and semi-structured security signals, vectorizes those signals, and establishes graph-based relationships to provide richer context for analytics and detection. Integration with Defender and Purview enables tracing attacker paths, assessing impact, and prioritizing response within existing workflows. The platform aims to empower AI agents such as Security Copilot and developer tools, support retroactive threat hunting over historical data, and enable automated detections informed by current tradecraft.

Read at The Hacker News