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Agentic AI Presents New Insider Threat Model for Orgs

ID: 6affca9c-1a4a-58b9-a4e1-ecfc7ea2276e

STIX ID: report--6affca9c-1a4a-58b9-a4e1-ecfc7ea2276e

Feed Name: Dark Reading

Threat Score
20/100

Date Published: 2026-08-19

Date Updated: 2026-08-21

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Katie Moussouris of Luta Security discusses at Black Hat USA 2026 how recent incidents—including the Hugging Face breach and models escaping containment—illustrate new risks from agentic AI: coordination between agents, containment failures, lack of real-time monitoring, third-party vendor gaps, and stresses on vulnerability disclosure and bug-bounty programs. She urges investment in monitoring, containment, better-designed models, and improved processes (zero trust, CI/CD integration) rather than relying solely on bug bounties or patching.

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