Gray Swan's private red teaming puts hand-selected adversarial experts against your AI agents and systems. Drawn from the top performers in the world's largest AI red-teaming network and scoped to your deployment, with findings you can act on.
Gray Swan scopes every engagement to your specific AI deployment: your model, your policies, your attack surface. Our red teamers then systematically attempt to find what's exploitable, using the same techniques and creativity that surface novel vulnerabilities in frontier models.
Model, guardrails, tools, retrieval systems, and user-facing surfaces. Risks are prioritized around your concerns with clear rules of engagement.
Hand-selected Arena top performers run creative, multi-turn adversarial testing. Prompt injection, tool exploitation, attack chains, and bespoke scenarioes informed by researchers.
Executive summary. Reproducible transcripts. Severity classifications. Prioritized remediation roadmap. Raw data for your engineering team.
You're putting AI in front of customers or into critical workflows and need to understand your risk before launch.
You need credible third-party validation that gives your security team, board, and customers confidence in what you're deploying.
You've run the automated evals. Now you need adversarial creativity that only expert human red teamers can provide.
You need third-party adversarial evidence with executive-ready deliverables and a remediation roadmap built for stakeholders.
Arena-proven red teamers: Selected from the top performers in a 15,000+ researcher network based on demonstrated and adversarial results.
Scoped to your deployment: Every engagement is threat-modeled against your specific architecture, policies, and risk surface.
Actionable deliverables: Executive summaries, reproducible transcripts, severity ratings, and remediation roadmaps.
One engagement. Full Picture: From scoping to remediation guidance, you get a complete assessment, not a surface-level sweep.
Choose the approach that fits your deployment needs and security requirements.
