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From Theory to Pressure: What the Third AI-Enabled Cybercrime Tabletop Exercise Revealed

ID: 9a6a8389-e074-579e-ab5c-3b77129ac2b1

STIX ID: report--9a6a8389-e074-579e-ab5c-3b77129ac2b1

Feed Name: Fortinet Blog

Date Published: 2026-02-10

Date Updated: 2026-04-27

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Fortinet and UC Berkeley CLTC share lessons from the AI-enabled cybercrime tabletop exercise "Operation Black Ice," where AI-driven impersonation of a trusted third party led to cascading impacts including ransomware-driven extortion, operational disruption, and regulatory pressure under compressed timelines. The write-up underscores that the most damaging failures are governance and decision-making gaps rather than technical shortcomings, calling for multi-channel identity verification, predefined coordination models, disciplined decision cadence, and clearer third-party incident expectations.

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