SIEM

Security Information and Event Management (SIEM) systems aggregate and analyze security logs from across an organization's IT infrastructure to detect threats, investigate incidents, and maintain compliance records. For AI governance, SIEM platforms are critical for monitoring suspicious activities related to model deployments, data access patterns, and unauthorized use of AI systems. Organizations use SIEM to demonstrate audit trails and compliance readiness to regulators by tracking who accessed AI models, what data was processed, and when security anomalies occurred.

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ResearchGlobal2026-09-19

Mandiant: AI Agents Create Attack Surface That Identity and Telemetry Controls Cannot Yet See

Mandiant issued a warning that AI agents expand enterprise attack surfaces in ways that conventional identity and monitoring controls are not equipped to detect. The firm called for adaptive identity governance, continuous behavioral telemetry, and faster automated response pipelines. Compliance teams are advised to connect agent prompt streams, endpoint signals, and API activity into existing SIEM and EDR workflows.

Mandiant agentic AI identity management SIEM behavioral telemetry incident response attack surface