ai-red-teaming
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Confident AI
Confident AI is a San Francisco startup (YC W25) that builds the evaluation and testing layer for LLM applications. Its open-source frameworks DeepEval and DeepTeam - often described as 'Pytest for LLMs' - let engineers unit-test, benchmark, red team, and monitor chatbots, agents, and RAG pipelines with research-backed metrics. The cloud platform adds dataset management, observability, adversarial testing, and governance so teams can prove AI quality before and after shipping.
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.
Mend.io
Mend.io, formerly WhiteSource, is a Boston- and Tel Aviv-based application security company that helps development and security teams find and fix vulnerabilities in open source dependencies, custom code, and AI-generated code. Its platform spans software composition analysis (SCA), static and dynamic testing (SAST/DAST), API security, automated dependency updates via Renovate, and a growing suite of AI security tools. Serving more than 1,000 customers including a quarter of the Fortune 100, Mend.io emphasizes automated remediation - producing exact code fixes rather than long lists of alerts - to help teams reduce security debt without slowing delivery.
Straiker
Straiker is a Sunnyvale-based agentic AI security company that helps enterprises deploy AI agents without handing attackers the keys. Its platform spans three jobs - Discover AI maps the agents, MCP servers, and workflows running across a company; Ascend AI red-teams them before deployment to surface prompt injection, goal hijacking, and tool misuse; and Defend AI blocks identity abuse, memory poisoning, and data exfiltration at runtime. Founded by former Palo Alto Networks and Akamai security leaders, Straiker raised a $64M Series A in June 2026, bringing total funding to $85M.
ALIGNMT AI
ALIGNMT AI is a New York-based company building an enterprise AI governance and risk-monitoring platform for healthcare. Founded by MIT-trained machine-learning scientist Andreea Bodnari, it helps health systems, payers, and health IT vendors deploy AI while automating compliance with frameworks like ONC, ISO 42001, the NIST AI RMF, and the EU AI Act. Its platform continuously monitors production AI systems, audits for bias and fairness, and generates the audit trails regulators, boards, and customers demand - reportedly cutting compliance audit-prep time by up to 50%.
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.