Claude Opus 4.7 Sets New Records in the Endor Labs Agent Security League

Anthropic's release of Claude Opus 4.7 has marked a significant milestone in AI model performance by achieving the highest scores recorded on the Agent Security League benchmark, particularly in both functional correctness and security. For the first time, two model-agent combinations surpassed the 20% security score threshold, with the Cursor + Opus 4.7 combination reaching a record 91.1% in functional correctness and 22.9% in security. This represents a substantial improvement over previous models and suggests progress in training AI systems to prioritize security without sacrificing functionality. Despite this advancement, Opus 4.7 still leaves a considerable portion of its code vulnerable, underscoring the need for ongoing security reviews of AI-generated code. The research highlights that while AI agents are improving in generating functionally correct code, they continue to lag significantly in producing secure code, with model architecture and agent frameworks playing a role in these outcomes.

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