Author: Security Weekly - A CRA Resource - Bewertung: 0x - Views:18
This discussion highlights a recurring pattern in AI-assisted security research: current systems are effective at identifying known classes of vulnerabilities and established error patterns, but evidence for discovering truly novel vulnerabilities remains limited.
This may mean AI’s near-term value is less about replacing researchers and more about accelerating routine analysis, triage, and repetitive discovery work. That shift could allow human experts to spend more time on creative investigation and advanced research tasks that still require intuition and deeper contextual reasoning.
Should AI security systems be evaluated based on whether they discover entirely new vulnerabilities, or on how effectively they amplify human researchers?
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