LLM Agents Are Now Finding Zero-Days: How AI is Autonomously Rewriting the Rules of Vulnerability Research
LLM agents are now capable of autonomously discovering zero-day vulnerabilities at an unprecedented scale. Recently, an AI model was credited with finding a critical macOS kernel vulnerability, marking a significant shift in vulnerability research. This advancement raises new considerations for security engineers and software developers regarding threat models and vulnerability detection methods.
- ▪LLM agents like Claude Mythos Preview and GPT-5.5 have found over 10,000 critical vulnerabilities in just weeks.
- ▪A recent macOS kernel vulnerability was discovered by an AI model, highlighting its capabilities in real-world applications.
- ▪LLM vulnerability research combines various detection methods, allowing for a deeper understanding of code and potential vulnerabilities.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1376994) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Manoranjan Rajguru Posted on May 26 LLM Agents Are Now Finding Zero-Days: How AI is Autonomously Rewriting the Rules of Vulnerability Research #security #ai #devops #llm LLM Agents Are Now Finding Zero-Days: How AI is Autonomously Rewriting the Rules of Vulnerability Research 💡 TL;DR: LLM agents like Claude Mythos Preview and GPT-5.5 are now autonomously hunting zero-days at massive scale — 10,000+ critical CVEs found in weeks.
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