This AI Security Startup Just Raised $30 Million to Outsmart Hackers

Jan de Vries · 2026-08-13

When you think about cybersecurity, you probably picture firewalls, passwords, and maybe a guy in a hoodie typing furiously in a dark room. But here's the thing: AI is changing the game entirely, and most companies aren't ready for it. That's exactly the problem Mindgard is trying to solve, and they just got a serious cash infusion to do it. Mindgard, a Boston and London-based startup, has closed a $30 million Series A round. The company spun out of Lancaster University in 2022, and it's on a mission to secure enterprise AI systems before attackers can exploit them. The funding will go toward scaling up their product, engineering, sales, and marketing teams, which makes sense given the massive demand they're seeing from customers. ### Who's backing this bet? The round was led by Album VC, with participation from Karma Ventures and existing investors like .406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar. That's a solid group of backers who clearly see something special here. "AI is creating an entirely new attack surface and organisations need a fundamentally different approach to securing it," said James Brear, CEO of Mindgard. "We don't just automate attacks. We operationalise expertise, turning the knowledge of leading AI security researchers and offensive security practitioners into the capabilities every enterprise needs to secure their AI." ### What does Mindgard actually do? Founded by Dr. Peter Garraghan, Mindgard helps organizations discover, assess, and defend their AI systems. The company claims to have built the first platform that can actually capture and exploit what they call the "psycho-technical attack surface" that exists within AI models, agents, and applications. That's a fancy way of saying they understand how AI systems think and behave, and they use that knowledge to find vulnerabilities before the bad guys do. Their platform does three main things: - **Shadow AI discovery**: Finding AI tools and systems that employees are using without IT's knowledge or approval - **AI red teaming**: Simulating attacks to expose weaknesses, just like a penetration tester would for traditional software - **Run-time AI protection**: Monitoring systems continuously to catch and stop attacks in real time ### The proof is in the vulnerabilities Here's where it gets interesting. Mindgard says their platform has helped uncover and publicly disclose more than 150 high-impact security and safety vulnerabilities in widely used AI products. We're not talking about obscure tools nobody uses. We're talking about things like: - A zero-day code-execution vulnerability in Cursor IDE - A trusted-workspace flaw in Google Antigravity - Image-generation guardrail failures in ChatGPT Those are big names, and finding those kinds of flaws takes serious expertise. The intelligence they gather from these discoveries feeds back into their proprietary knowledge base, making their platform smarter every time they find something new. ### Why this matters for your business "Organisations are moving AI into critical operations without security infrastructure designed for how these systems operate in practice," said Ty Boswell, Partner at Album VC. "Mindgard has translated deep research and elite offensive-security expertise into a continuously evolving capability that enables enterprises to stay ahead of emerging AI threats." That quote really hits the nail on the head. Companies are rushing to deploy AI because they're afraid of being left behind, but they're not thinking about the security implications. It's like building a house without locking the doors because you're too excited about the view. Mindgard's approach is different because it doesn't just rely on automated scanning. They bring in actual offensive security practitioners who think like attackers, and they turn that knowledge into a platform that any enterprise can use. ### The bottom line The timing couldn't be better. With AI adoption accelerating across financial services, pharmaceuticals, gaming, digital services, semiconductors, and healthcare, the attack surface is growing exponentially. Fortune 2000 companies are already deploying Mindgard's platform, and this new funding will help them expand even further. If you're using AI in your organization, you need to ask yourself: who's watching the watchers? Because the hackers are definitely paying attention, and they're getting smarter every day. Mindgard is betting that being proactive about AI security is going to be a massive industry, and honestly, they might be right.