Gray Swan AI develops enterprise-grade security solutions for AI deployments, helping organizations assess and mitigate the risks posed by adversarial attacks, prompt injection, and misuse scenarios. The company was founded by leading AI safety researchers from Carnegie Mellon University, including Matt Fredrikson (CEO), Zico Kolter (Chief Scientist), and Andy Zou (CTO), who together pioneered the GCG automated jailbreaking method and the Circuit Breakers alignment technique. Gray Swan's product suite includes Cygnal for real-time AI input/output filtering, Shade for automated vulnerability testing, and the Gray Swan Arena for large-scale red-teaming competitions. Their research and tools are trusted by major AI labs including OpenAI, Anthropic, Google DeepMind, Amazon, and Meta, as well as government bodies like the UK and US AI Safety Institutes.
Funding Details
- Annual Budget
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- Monthly Burn Rate
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $5,500,000
- Fiscal Sponsor
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Theory of Change
Gray Swan believes that identifying and patching AI vulnerabilities before malicious actors exploit them is a critical lever for reducing catastrophic risk from advanced AI systems. By developing rigorous automated methods to find weaknesses in AI models and creating robust defenses like Circuit Breakers, they aim to raise the security baseline for the entire industry. Their theory is that frontier AI labs and enterprises deploying AI cannot reliably assess the safety of their own systems without specialized adversarial testing tools and benchmarks. By providing these tools and running large-scale red-teaming competitions, Gray Swan generates shared knowledge about AI failure modes that benefits the whole field. Making secure, hard-to-jailbreak AI models available (like their Cygnet model) also demonstrates that safety and capability are compatible, incentivizing adoption of better safety practices across the industry.
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Details
- Last Updated
- Apr 2, 2026, 10:10 PM UTC
- Created
- Mar 19, 2026, 10:30 PM UTC