Mindgard

Mindgard is the leading provider of AI Security solutions. Spun out from over a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard helps enterprises secure their AI models, agents, and applications across the AI lifecycle. AI introduces risks that traditional security tools cannot detect, leaving organizations unable to find, measure, or secure their AI. Security teams struggle with a lack of visibility into AI activity and its attack surfaces. Difficulty reproducing agentic AI behavior creates uncertainty and compliance challenges. Ultimately, an inability to enforce AI controls heights the risk of compromise. Mindgard delivers AI detection and response through attack-driven defense, giving enterprises the ability to map their AI attack surface, measure and validate AI risk, and actively defend their AI. - Visibility into AI inventory and activity reveals what attackers can find out about your AI. - Agentic AI red teaming assesses how attackers can exploit your AI. - Enforcement controls and policies at runtime stops attackers from breaching your AI. Mindgard stands out for its: - Flexibility: Test AI models directly or via apps using CI/CD, our web UI, or tools like Burp Suite. - Usability: The only non-open-source AI red teaming platform, fast and easy to set up, test, and report with. - R&D pipeline: Backed by a decade of university research and active PhD-level innovation and publishing. Mindgard works with the AI models and guardrails you build, buy and use. Extensive coverage beyond LLMs, including image, audio, and multi-modal. Whether you are using open source, internally developed, 3rd party purchased, or popular LLMs like OpenAI and Claude, we’ve got you covered. Trusted by leading organizations in finance, healthcare, and technology, Mindgard is backed by investors including .406 Ventures, IQ Capital, Atlantic Bridge, and Lakestar.