aiqbench takeAI Safety

This paper outlines critical security and privacy risks emerging from the increasing autonomy of AI agents, synthesizing insights from a global panel of experts. It identifies specific vulnerabilities inherent to agentic systems that require new defensive strategies beyond traditional static model protection. The work serves as an essential roadmap for researchers addressing safety in next-generation autonomous software architectures.

Sources coveringarXiv, 36Kr, terrytao.wordpress.com, LessWrong

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Security and Privacy in Agentic AI: Grand Challenges and Future Directions

arXivJuly 29, 20261 min read

arXiv:2607.06608v2 Announce Type: replace-cross Abstract: We present key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise that brought together thirty leading international experts from academia, industry, and government to engage in focused discussions and collaborative exercises on the emerging risks associated with the growing agency of AI.

Abstract:We present key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise that brought together thirty leading international experts from academia, industry, and government to engage in focused discussions and collaborative exercises on the emerging risks associated with the growing agency of AI.

Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)

arXiv:2607.06608 [cs.CR]

(or arXiv:2607.06608v2 [cs.CR] for this version)

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