AI models are becoming increasingly adept at discovering software vulnerabilities, potentially shifting the balance towards defense in cybersecurity. While current AI tools like Mythos Preview have shown significant capability in finding zero-day exploits, the long-term outlook suggests a transition to a 'dense sampling regime' where defenders can identify most vulnerabilities before attackers. However, this shift is expected to be bumpy, with notable challenges anticipated in 2026 and 2027 due to slow patch rollouts. AI
IMPACT AI's growing capability in vulnerability discovery could significantly bolster cybersecurity defenses, though a challenging transition period is anticipated.
RANK_REASON The item discusses research findings and implications of AI in cybersecurity, specifically vulnerability discovery. [lever_c_demoted from research: ic=1 ai=1.0]
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