Gray Swan
Enterprise AI security platform from CMU researchers. Created foundational LLM vulnerability research (GCG, Circuit Breakers) and safety benchmarks (HarmBench, WMDP, AgentHarm).
Strong safety posture with established governance frameworks and active risk management.
Security Assessment
Security-relevant indicators for vendor evaluation
Dimension Breakdown
Social Impact & Safety Profile
StrongGray Swan's core business is identifying safety vulnerabilities in AI systems before they cause real-world harm. Their red-teaming and adversarial evaluation services have been used by multiple frontier labs and safety-critical deployments. Published research on adversarial robustness contributes to the broader safety ecosystem. Active engagement with the AI safety community and measurable impact through disclosed vulnerability reports.
You cannot claim a model is safe without testing it adversarially. Gray Swan provides the testing infrastructure that makes safety claims verifiable rather than aspirational.
Civilizational Risk Awareness
Strong practical safety orientation. Focus on making safety engineering rigorous rather than theoretical. Awareness of catastrophic risk is implicit in the work but not structurally encoded in governance.
Responsible Scaling Policy
No RSP. As a testing/red-teaming company, an RSP is less directly applicable. The equivalent question is: does Gray Swan have policies governing responsible disclosure of vulnerabilities discovered through adversarial testing?
Mission Drift Protection
- ✓Safety mission in company positioning
- ✓Academic research pedigree creates reputational accountability
- ○No PBC status
- ○No structural governance mechanisms
- ○Academic credibility is a soft constraint, not a hard one
Vulnerability Disclosure
No formal CVD programme. For a red-teaming company, this is a significant gap - the core product discovers vulnerabilities, and responsible handling of those discoveries is essential.
Red-teaming companies should have the strongest CVD programmes in the industry. This is a gap that should be addressed as a priority.
Safety Reporting
Academic publications provide regular safety-relevant data. No structured transparency or safety report. For a company whose product generates safety data, publishing aggregate findings on AI vulnerability trends would be highly valuable.
Dual-Use Risk
Moderate dual-use risk inherent to all security testing tools. The fact that adversarial techniques are published academic research mitigates some risk - these are not secret capabilities. Enterprise customer focus provides soft access controls.
Mitigation details
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