The emergence of advanced AI models is transforming the landscape of software vulnerability disclosure and bug bounty programs. Initially gaining traction a decade ago, these programs have evolved from a defensive stance toward a proactive approach in addressing security issues. With bug bounties reaching as high as $2 million, independent security researchers are experiencing an influx of vulnerabilities identified by AI, leading to increased submissions. However, the long-term dynamics of this evolving market remain uncertain, as security researchers predict a potential decrease in bug submissions in the future. The rapid pace of AI-driven exploit discovery is pressuring organizations to expedite their patching processes, potentially altering established timelines for responsible disclosure.
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AI Revolution Sparks Intense Competition in Bug Hunting
Wired· Lily Hay Newman· Tuesday, May 26, 2026
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Google DeepMind Unveils AlphaProof Nexus: AI Agents Solve Long-Standing Mathematical Problems
Google DeepMind has introduced AlphaProof Nexus, an agentic framework leveraging its Gemini technology to autonomously solve complex mathematical problems. The AI agent successfully addressed nine open Erdős problems, including two that had remained unsolved for 56 years, as well as 44 problems from the Online Encyclopedia of Integer Sequences (OEIS). Additionally, it resolved a 15-year-old problem in algebraic geometry and a seven-year-old question in min-max optimization. The initiative involves collaboration with mathematicians across various disciplines, highlighting the significant potential of agentic loops powered by Gemini.