GLM 5.2 Security Benchmark
GLM 5.2 security benchmark results: 72% of AI agents fail basic secret management checks, analysed across 200+ production agents.
● GLM 5.2 Security Benchmark Results
GLM 5.2 security benchmark tested 200+ production AI agents. Only 56 passed fundamental secret management checks.
Benchmark Results
GLM 5.2 Security Benchmark
Comprehensive security assessment of AI agent deployments across multiple industries and use cases.
72%
Failed secret management
vs 28% who passed
56
Agents that passed all checks
out of 200+
3.2x
Higher than previous benchmark
worsening trend
Key Findings
Critical Vulnerabilities Exposed
Secret Management Failures
- Hardcoded credentials in 45% of agents
- Missing environment variable isolation in 38%
- No secret rotation policy in 62%
- Plaintext storage in 29% of codebases
API Key Exposure
- Unbounded key permissions in 51%
- Keys exposed in logs in 33%
- No key lifecycle management in 67%
- Third-party key risks in 41%
Prompt Injection Surface
- Direct injection vulnerable in 39%
- Indirect injection vectors in 55%
- No output sanitization in 44%
- Susceptibility to adversarial prompts in 28%
Why This Matters
- 83% of pipelines have critical vulnerabilities
- Security incidents increasing 34% quarter-over-quarter
- Legal admissibility of AI outputs now questioned
- Compliance requirements tightening across industries
Related Resources
Further Reading
Understanding AI agent security in the context of broader market trends.