Autonomous AI agents operating within trust boundaries pose a critical insider threat, executing unintended actions at machine speed using valid credentials. Conventional security tools fail to detect anomalies in authenticated workflows, necessitating agentic governance.

In brief - Autonomous AI agents with delegated authority introduce insider-like threats, including prompt injection and rapid damage escalation. Agentic governance—identity, authority, action control, and evidence—is essential to mitigate risks from compromised or misaligned agents.

Technically - AI agents leverage delegated credentials to perform legitimate-looking actions, evading detection. Key risks: scope expansion via action chaining, prompt injection via malicious inputs, and velocity through rapid API calls. Mitigation requires agent inventories, granular permissions, approval gates, and end-to-end logging of decision chains. Runtime policy checks and narrative-driven logs are critical to detect unintended actions before propagation.

Source: https://www.trendmicro.com/en_us/research/26/e/agentic-governance-why-it-matters-now.html

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