Sangfor says its GLM-5.2 security agent solved 1,301 of 1,507 CyberGym tasks
量子位 · wechat · 2026-07-29
Sangfor says its AI security agent reached 86.3% on CyberGym, finishing 1,301 of 1,507 vulnerability tasks under a fixed GLM-5.2 setup and ranking in the global top four. The system uses an AgentSwarm-style architecture plus an evidence-governance loop to coordinate bounded exploration, persistent evidence, dynamic hypothesis selection, and adversarial candidate review. The company says the approach is already being applied to enterprise code security workflows, where it can help find business-logic flaws, reduce manual review cost, and move security checks earlier in CI/CD.
Related event: Sangfor's GLM-5.2 Security Agent Achieves 86.3% Success Rate on CyberGym(2 posts)→
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