Eli Cohen on Continuous AI Security Testing and Validation

AI Engineer19m 28s
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    Video summary

    Eli Cohen argues that AI-assisted coding increases the need for continuous application-security testing. Static analysis can identify suspicious patterns cheaply, while dynamic checks and human understanding help establish whether a finding matters in the application's actual business context.

    Eli Cohen describes an orchestrator that delegates reconnaissance and focused testing to specialized agents. A separate judging step checks proposed exploits and gathers reproducible evidence, rather than trusting an agent's first claim or treating every scanner alert as a confirmed issue.

    Eli Cohen presents this as a vendor's architecture and discusses evaluation questions around coverage, false positives and useful remediation. The talk is not an independent benchmark, and its promotional comparisons do not establish general superiority.

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    Eli Cohen against a black background beside the blue and white headline Validate The Finding. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 7 October 2026 and duration 19m 28s.

    Eli Cohen describes a continuous security-testing architecture that combines cheap static checks, contextual testing agents and independent validation before treating a finding as an exploitable vulnerability.