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

Jan de Vries · 2026-08-13

The race to secure artificial intelligence is heating up, and one startup just landed a serious war chest to lead the charge. Mindgard, an AI security company with roots in both Boston and London, has closed a $30 million Series A round to expand its operations across product, engineering, sales, and marketing. The funding comes at a time when enterprises are scrambling to protect their AI systems from a wave of new, sophisticated attacks. ### Who's backing Mindgard? The investment round was led by Album VC, with participation from Karma Ventures and existing backers .406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar. That's a solid lineup of investors who clearly see the potential in what Mindgard is building. The money will be used to scale the company's global reach and double down on its mission to make AI security a core part of how organizations deploy and manage their artificial intelligence tools. ### The problem Mindgard is solving Here's the thing: AI isn't just another software update. It's an entirely new attack surface, and traditional security tools simply don't cut it anymore. Mindgard's CEO, James Brear, puts it plainly: "AI is creating an entirely new attack surface and organizations need a fundamentally different approach to securing it. We don't just automate attacks. We operationalize expertise, turning the knowledge of leading AI security researchers and offensive security practitioners into the capabilities every enterprise needs to secure their AI." That's not just marketing talk. Founded in 2022 by Dr. Peter Garraghan and spun out of Lancaster University, Mindgard is backed by what it claims is the world's largest AI security lab at the university. The company says it has built the first platform that can successfully capture and exploit the newly discovered "psycho-technical" attack surface that manifests within AI models, agents, and applications. Think of it as a security system that thinks like an attacker, because it literally does. ### How the platform works The Mindgard platform does three main things: - **Shadow AI discovery**: It finds AI systems that are running in your organization without IT's knowledge, which is a massive blind spot for many companies. - **AI red teaming**: It acts as an autonomous red teamer, using attacker-style reconnaissance to reveal how adversaries would discover and exploit your AI agents and systems. - **Run-time AI protection**: It provides continuous analysis and real-time protection to help teams find, fix, and stop attacks before they cause real-world damage. This approach has already paid off. Mindgard says its platform has helped uncover and publicly disclose more than 150 high-impact security and safety vulnerabilities in widely used AI products. Some notable finds include a zero-day code-execution vulnerability in Cursor IDE, a trusted-workspace flaw in Google Antigravity, and image-generation guardrail failures in ChatGPT. That's not just impressive; it's a wake-up call for anyone who thinks their AI stack is safe by default. ### Why this matters for enterprises Ty Boswell, Partner at Album VC, sums up the urgency: "Organizations are moving AI into critical operations without security infrastructure designed for how these systems operate in practice. 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. We believe this team can define the AI security category." That last line is key. The AI security category is still young, and there's a real opportunity for a company like Mindgard to set the standard. The Series A follows rapid deployment across a large number of Fortune 2000 companies and AI innovators in financial services, pharmaceuticals, gaming, digital services, semiconductors, and healthcare. If you're in one of those industries, this is a name you'll want to watch closely. ### The bottom line AI isn't going anywhere, and neither are the attackers targeting it. Mindgard's fresh funding is a clear signal that serious money is flowing into defending the next generation of technology. For enterprises, the message is simple: if you're using AI at scale, you need to think about security from day one, not after a breach. The tools are getting better, but the threats are evolving just as fast.