Mindgard, a Boston and London-based AI security startup, has closed $30 million in Series A funding to scale its platform that protects enterprise AI systems from emerging cyber threats.
The race to secure enterprise AI just got a serious boost. Mindgard, a Boston and London-based AI security startup, has closed a $30 million Series A round to scale its operations across product, engineering, sales, and marketing. The funding comes at a time when companies are rushing to deploy AI without fully understanding the new risks it brings.
Led by Album VC, with participation from Karma Ventures and existing backers .406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar, this round signals strong confidence in Mindgard's approach.
### Why This Matters Right Now
Here's the thing: AI isn't just another software update. It's a completely new attack surface, and most organizations are flying blind. Traditional security tools simply weren't built for the way AI systems actually behave in the wild.
"AI is creating an entirely new attack surface and organizations need a fundamentally different approach to securing it," said James Brear, CEO of Mindgard. "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."
### From University Lab to Enterprise Defense
Founded in 2022 by Dr. Peter Garraghan and spun out of Lancaster University, Mindgard helps organizations discover, assess, and defend their AI systems. What makes them stand out? They're backed by the world's largest AI security lab at Lancaster University, and they claim to have built the first platform that can capture and exploit the newly discovered "psycho-technical" attack surface hiding within AI models, agents, and applications.
The platform does three main things:
- **Shadow AI discovery** โ finds AI systems your team might not even know exist
- **AI red teaming** โ simulates real attacks to expose weaknesses before criminals find them
- **Run-time AI protection** โ monitors and defends your AI continuously
### Real Vulnerabilities, Real Impact
This isn't theoretical. Mindgard's platform has helped uncover and publicly disclose more than 150 high-impact security and safety vulnerabilities in widely used AI products. Some of their findings include:
- A zero-day code-execution vulnerability in Cursor IDE
- A trusted-workspace flaw in Google Antigravity
- Image-generation guardrail failures in ChatGPT
Every discovery feeds into their proprietary knowledge base, which makes their platform smarter with each new threat. It's a continuous learning loop that keeps enterprises ahead of emerging risks.
### The Investor Perspective
Ty Boswell, Partner at Album VC, put it plainly: "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's a bold claim, but the traction backs it up. Mindgard is already deployed across a large number of Fortune 2000 companies and AI innovators in financial services, pharmaceuticals, gaming, digital services, semiconductors, and healthcare.
### What This Means for Your Organization
If you're running AI in production, this funding news should be a wake-up call. The threat landscape is evolving faster than most security teams can keep up with. The question isn't whether your AI will be attacked โ it's whether you'll be prepared when it happens.
Mindgard's approach treats AI security as an ongoing operational discipline, not a one-time checkup. That's the mindset every enterprise needs to adopt if they want to harness AI's power without becoming its next victim.
With this fresh capital, Mindgard is positioned to expand its global reach and make attacker-driven AI security a core part of how organizations implement and manage AI. For anyone responsible for AI systems, that's a development worth watching closely.