Security
Enterprise organizations deploying AI agents must now contend with a formal taxonomy of privacy and security risks specific to agentic systems; this research informs governance frameworks, procurement criteria, and internal security review processes for agent-based deployments.
Google Research has published guidance on open and emergent problems in agentic privacy and security, framed through a contextual lens. The work identifies gaps and risks in how AI agents handle sensitive data and maintain security posture as agentic systems become more autonomous and widely deployed.
Read the full article at Google Research
CoFabrix summarises and comments on this story. The original reporting belongs to Google Research.
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