Mandiant, a Google Cloud threat intelligence unit, has published a report detailing how AI can assist in vulnerability management while also highlighting its limitations. The report notes that the average time to exploit a vulnerability is now seven days before a patch is available, necessitating a shift from patch-based defense to triage. AI models can help by normalizing and scoring vulnerabilities based on asset sensitivity and exploitation signals, and can assist in product security by generating patches for specific bug classes, though human review remains critical. However, AI struggles with complex architectural vulnerabilities and can be susceptible to prompt injection attacks. AI
IMPACT AI can improve vulnerability triage and patch generation, but human oversight is crucial for complex architectural flaws.
RANK_REASON Analysis of AI's role in cybersecurity by a threat intelligence firm.
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