AI safety specialist focused on automated red-teaming, LLM vulnerability evaluation, and defensive security testing.
Gray Swan specializes in AI safety through automated red-teaming, rigorous LLM vulnerability evaluation, and defensive security testing for language model deployments. The company develops tools and methodologies to systematically probe large language models for failure modes, safety gaps, and adversarial vulnerabilities before they reach production. Gray Swan's work sits at the intersection of AI safety research and applied security testing, providing enterprises and AI developers with structured processes to understand where their language model deployments might behave unexpectedly or be manipulated. As LLM deployments expand into multilingual and high-stakes environments, identifying and mitigating language-specific failure modes and cross-lingual safety gaps has become a distinct area of focus.