Haize Labs: AI Safety Testing

As generative AI systems advance to production, Haize Labs addresses the emerging risks of behavioral safety by providing automated red-teaming for large language models and AI agents. Unlike traditional security vulnerabilities, these AI systems can be compromised through prompt injection or adversarial inputs. Founded by Leonard Tang, Richard Liu, and Steve Li, Haize Labs has gained a $100 million valuation, reflecting the growing demand for AI safety testing. Their platform, comprising tools like Judge, Haize, Monitor, and Robustify, enables enterprises to identify vulnerabilities before deployment, collaborating with leading organizations such as OpenAI and Anthropic. Key innovations include Cascade, a technology for automated adversarial testing, and ACG, which optimizes computational efficiency. Beyond red-teaming, Haize Labs offers continuous monitoring and fuzz testing, integrating with CI/CD pipelines. In contrast, WorkOS provides enterprise authentication infrastructure, complementing Haize Labs by ensuring secure access to AI applications. Together, they offer comprehensive solutions for enterprises deploying AI, with Haize Labs focusing on AI safety validation and WorkOS on authentication and user management.