Finding security vulnerabilities at scale is now more accessible, thanks to advancements in AI. Leveraging Linus’s Law, “given enough eyeballs, all bugs are shallow,” AI tools expedite vulnerability discovery, challenging security teams to outpace potential threat actors. XBOW, an AI-driven penetration tester, exemplifies this trend by identifying over 1,060 vulnerabilities in just 90 days, supported by bug bounty programs that resolved critical security issues.
AI systems, like JPMorgan Chase’s Auspex, redefine threat modeling by streamlining processes that once took weeks into mere minutes. This evolution enables AppSec teams to deploy resources more effectively, shifting from manual tasks to security-focused development. Recommended strategies include building queryable security intelligence, fine-tuning AI models for specific environments, integrating AI into existing toolchains, and enhancing Static Application Security Testing (SAST). By embracing AI, organizations can strengthen security, minimize costs, and accelerate software delivery cycles, ultimately evolving their security posture in an increasingly fast-paced environment.
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