ai-guardrails
(8)
Adam Wenchel
He was studying how AI fails before most people believed it worked. Now he builds the guardrails that keep everyone else's models honest.
Sohaib Shaikh
Sohaib Shaikh is the CEO of Virtue AI, a San Francisco security startup building the trust layer for enterprise AI and agentic systems. A Stanford-trained electrical engineer, he spent more than eight years at C3 AI as Group Vice President of Sales before joining Virtue AI as Head of Sales in April 2026 and being named chief executive that June, after the company posted 600% year-over-year growth on the back of a $30 million seed and Series A round.
Arthur
Arthur is a New York-based AI governance and observability company that gives enterprises a single control plane to discover, monitor, evaluate, and govern the AI models and autonomous agents running across their organization. Founded in 2018 by a team out of Capital One and academia, Arthur started with machine-learning monitoring - catching model drift, bias, and performance decay in production - and has since expanded into real-time guardrails, LLM evaluation, and agentic AI governance. Its open-source Arthur Engine and its Agent Discovery & Governance platform help security, compliance, and ML teams ship AI they can trust in regulated industries like finance, insurance, healthcare, and government.
Virtue AI
Virtue AI is a San Francisco-based enterprise AI security company that helps organizations deploy generative AI and AI agents safely. Founded in 2024 by AI-safety researchers from Berkeley, Stanford, and Chicago, its platform combines automated red-teaming (VirtueRed), real-time multimodal guardrails (VirtueGuard), and an end-to-end agent security suite (AgentSuite) to catch prompt injections, jailbreaks, data poisoning, and policy violations before they reach production. The company raised $30 million in seed and Series A funding and counts frontier AI labs and enterprises in finance, healthcare, and IT among its customers.
Enkrypt AI
Enkrypt AI is a Boston-based AI security company that builds a control layer between enterprises and the large language models and AI agents they deploy. Founded in 2022 by Yale PhDs Sahil Agarwal and Prashanth Harshangi, its Sentry platform combines automated red teaming, runtime guardrails, and compliance monitoring to detect vulnerabilities like prompt injection, jailbreaks, bias, and data leakage before and after models reach production. The company also publishes a free LLM Safety Leaderboard and widely cited red-team research, including a January 2025 report finding DeepSeek-R1 far more likely than rivals to produce harmful content.
Sahil Agarwal
Sahil Agarwal is the co-founder and CEO of Enkrypt AI, a Boston-based startup building a security and compliance control layer for enterprise generative AI. An applied mathematician with a PhD from Yale who once modeled the chaotic motion of Arctic sea ice, he now leads a team that red-teams large language models to find where they break - work that made headlines when Enkrypt published research showing DeepSeek-R1 was 11x more likely to generate harmful content than its rivals. He met co-founder Prashanth Harshangi during their PhD years at Yale, and together they raised a $2.35M seed round to make AI safe enough for Fortune 500 deployment.
Dynamo AI
Dynamo AI is a San Francisco-based enterprise AI security and governance company that helps regulated organizations deploy generative and agentic AI safely. Born out of MIT CSAIL research, its platform - spanning DynamoEval, DynamoGuard, and AgentWarden - tests AI systems for vulnerabilities, applies real-time, customizable guardrails against threats like prompt injection, data leakage, and hallucinations, and produces the compliance documentation enterprises need to meet regulations such as the EU AI Act.
Vaikkunth Mugunthan
Vaikkunth Mugunthan is the co-founder and CEO of Dynamo AI, a San Francisco company that builds privacy, security, and compliance guardrails for enterprise generative AI. An MIT PhD in computer science with a Harvard minor in privacy, fairness, and law, he turned years of federated-learning and differential-privacy research into a venture-backed startup serving Fortune 500 firms in finance, insurance, electronics, and automotive. He was named to Forbes 30 Under 30 Asia 2025, captained MIT's cricket team, plays the violin, and has traveled to 16 countries.