According to AnthropicAI on Twitter and as reported by Mozilla, Anthropic partnered with Mozilla to evaluate Claude’s capability to uncover security flaws in Firefox, and Claude Opus 4.6 identified 22 vulnerabilities within two weeks, including 14 high-severity issues that account for roughly 20% of all high-severity bugs Mozilla remediated in 2025. According to Anthropic, the rapid triage shows large language models can accelerate secure software development lifecycles by augmenting fuzzing and code review for complex codebases like Firefox. As noted by Mozilla in the collaboration summary, integrating model-driven analysis into bug bounty workflows can reduce mean time to remediation and prioritize exploit-relevant issues, creating opportunities for security vendors to productize LLM-assisted static and dynamic analysis for enterprise browsers and extensions. According to Anthropic, Opus 4.6’s results suggest immediate business value for security testing platforms, managed detection and response providers, and developer tooling vendors seeking to bundle AI-assisted code scanning and patch recommendations for high-risk components.