Identity-Centric AI Governance
Articles on identity as the foundational layer for securing AI agents — including agent authentication, authorization, ownership, lifecycle management, and revocation mechanisms.
Who Governs the Autopilot? Mitigating Non-Human Identity Sprawl and Image-Based Prompt Injections in Agentic AI
An analysis of security vulnerabilities in autonomous AI agents, highlighting non-human identity governance risks and the multimodal GhostCommit prompt injection exploit.
AI Governance Isn’t Optional Anymore—Here’s How to Close the Accountability Gap
Autonomous AI systems are increasingly operating without clear accountability structures. A practical, four-question framework grounded in TUM IEAI’s research can help compliance teams embed auditability into everyday workflows—without sacrificing velocity.
The Agentic AI Trap: When Autonomous Agents Outrun Identity Controls
Every technology wave forces security to play catch-up — but agentic AI moves at machine speed. As business units deploy autonomous agents with broad credentials, security leaders face an identity crisis traditional access controls were never built to solve.