Mindgard raises $30M to protect AI systems from the threats nobody’s patching

Mindgard, an AI security startup born from over a decade of research at Lancaster University, has raised $30 million to expand its platform for protecting AI systems against adversarial attacks, model manipulation, and data leakage. The round marks a significant step up for the company, which had previously raised approximately $11.9 million in total funding through early 2025. Its most recent prior round was an $8 million raise closed in December 2024, led by .406 Ventures with participation from Atlantic Bridge, WillowTree Investments, IQ Capital, and Lakestar. Why traditional security tools aren’t enough for AI Mindgard’s core product is an autonomous AI red teaming platform that simulates adversarial attacks, including jailbreaks and chained exploits, to find vulnerabilities before bad actors do. Traditional application security tools were built for a world of deterministic software, where the same input always produces the same output. AI models don’t work that way. A generative AI system might behave perfectly in testing and then leak sensitive training data when prompted with a carefully crafted input in production. The platform covers generative AI, multimodal systems, and ...