Why Autonomous AI Agents Fail in Real-World Deployments - GovInfoSecurity
Research shows that 90% of autonomous artificial intelligence agents are vulnerable to attacks that standard safety tests cannot detect. This includes weaknesses from how these agents combine actions over time, exposing systemic risks across deployments in sectors like healthcare and finance.
This affects governance, public-sector adoption, or professional risk decisions.
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