AI Security for

Protect your AI deployments in minutes. Stay ahead of evolving threats with security that transforms risk into competitive advantage.

Gray Swan is the only AI security platform backed by frontier research and the world’s largest red-teaming network.

Gray Swan is trusted by:

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Deploy AI With Confidence

Gray Swan delivers cutting-edge security solutions that protect your AI systems from emerging threats and vulnerabilities.

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Adaptive AI Defense Systems

Agent Shield delivers real-time protection backed by the world’s largest AI red-teaming network. Upgrade to Pro for automated testing that keeps your security ahead of emerging threats.

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AI Red-Teaming

Pressure-test your specific deployment with techniques discovered in our research and Arena competitions. Get vulnerability assessments tailored to your exact tools, data, and use case.

Frontier AI Research

Gray Swan pioneered AI security research to become your trusted partner across the entire AI lifecycle: from data curation, agent development, and evaluation to pre-deployment testing and post-deployment monitoring and defense.

Evaluation

  • MMLU: The most-cited, industry-standard benchmark for evaluating LLM general knowledge and reasoning. [ICLR]
  • WMDP: The first benchmark for assessing hazardous knowledge in LLMs, with a focus on weapons of mass destruction. [TIME]
  • CyBench: A widely adopted framework for measuring cybersecurity capabilities and risks in language models. [ICLR]
  • HarmBench: The leading benchmark for systematically evaluating harmful model outputs across sensitive domains. [ICML]
  • AgentHarm: Among the first benchmarks to measure agentic risks and emergent harmful behaviors in autonomous systems. [ICLR]

Reliability and Control

  • GCG: The first fully automated method for jailbreaking large language models, setting the standard for robustness testing. [NYT]
  • Circuit Breakers: The first adversarially robust alignment technique, designed to halt unsafe outputs before they occur. [Forbes]
  • RepE: A pioneering top-down approach to monitor and steer LLM cognitive processes through representation engineering. [Fox]
  • Agent Red Teaming: The largest-scale competition to date for stress-testing prompt injection and adversarial agent risks. [NeurIPS]
  • Safety Pretraining: A novel set of interventions during data curation and pretraining to instill safer model behavior from the start. [NeurIPS]

What Sets Us Apart

We don’t guess how attackers behave. We study, publish, and outpace them.

We discover threats first

Arena competitions reveal emerging attacks before they appear in public databases.

We test like real adversaries

Red-teamers have generated over three million attack attempts that drive our methods.

We defend what you actually deploy

Policies and scans adapt to your agent’s tools, data, and workflows rather than generic checklists.

Protection in Minutes, Not Months

Defend smarter.
Stop attacks before they start with Agent Shield’s continuous coverage and adaptive protections.

Move faster.
Simple integration gives you ironclad protection, so you can focus on building what matters to your business.

Built for Every AI Deployment

For Companies Deploying AI

  • AI Agents & Workflows: Secure autonomous systems with tool access
  • MCP & Tool Integration: Protect AI connected to databases, APIs, files
  • Compliance & Governance: Prepare for AI insurance and regulatory requirements

For AI Labs & Model Developers

  • Private Red-Teaming: Dedicated security assessments before model releases
  • Custom Research: Academic-quality analysis of novel capabilities
  • Regulatory Support: Testing aligned with emerging AI safety frameworks

For Security Researchers

  • Compete in Arena: Cash prizes for discovering new AI vulnerabilities
  • Build Skills in our Proving Ground: AI red-teaming competitions with new challenges every week
  • Access Research Hub: 150+ curated tools and datasets