{"data":{"id":"bc40c837-9e62-4a8e-8cd4-916bba1bda77","title":"Given Enough Agents, All Bugs Become Shallow","summary":"AI agents have become very skilled at finding bugs in code, especially security vulnerabilities, and can now identify and exploit previously unknown flaws much faster than before. A new AI model called Mythos Preview, created by Anthropic, succeeded at exploiting certain browser vulnerabilities 181 times compared to only twice for an earlier model, showing a major leap in AI's ability to find and exploit security weaknesses. This capability could make it easier for non-security experts to launch cyberattacks, though the article notes that deploying patches (fixes released by software companies) remains the biggest challenge for organizations trying to stay secure.","solution":"The source text does not explicitly describe a fix or mitigation strategy. It notes that 'the industry needs to adjust' with 'new innovations' to help with patch deployment, but does not specify what those innovations should be. N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://embracethered.com/blog/posts/2026/given-enough-agents-all-bugs-become-shallow/","publishedAt":"2026-04-08T06:58:58.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["model_theft","supply_chain"],"issueType":"news","affectedPackages":null,"affectedVendors":["Anthropic"],"affectedVendorsRaw":["Anthropic","Claude","Mythos","OpenBSD","FFmpeg","FreeBSD","Firefox","Microsoft"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-04-08T06:58:58.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","confidentiality","availability"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}