The AI security startup’s technology has discovered over 150 publicly disclosed high-impact vulnerabilities in popular AI applications including OpenAI, Google, and Cursor

Mindgard, the leader in AI security, announced today that it has closed a $30 million Series A financing led by Album VC with participation from Karma Ventures and existing investors .406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar. Mindgard plans to use the funding to scale the company across product, engineering, sales, and marketing in response to significant customer demand.

Mindgard combines pioneering AI security research with world-renowned offensive security expertise to assess and protect AI systems from adversaries. Underpinned by the world’s largest AI security lab at Lancaster University, the company has created the first platform that successfully captures and exploits the newly discovered psycho-technical attack surface manifesting within AI models, agents, and applications.

In an industry rife with speculation and hypotheticals, Mindgard's platform has been used to uncover and publicly disclose more than 150 high-impact security and safety vulnerabilities across widely used AI products. Those findings include a zero-day code execution vulnerability in Cursor IDE, a trusted workspace flaw in Google Antigravity, and image-generation guardrail failures in ChatGPT. The resulting intelligence augments the company’s proprietary knowledge base that continuously strengthens the Mindgard AI Security Platform. The result is a powerful technology that gives security teams access to continuously evolving, state-of-the-art offensive and defensive capabilities for AI at a scale no other approach can match.

“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. This investment will expand our global reach and help make attacker-driven AI security a core part of how organizations implement and manage AI.”

The Series A follows accelerated deployment of Mindgard within a large number of the Fortune 2000 and AI innovators across financial services, pharmaceuticals, gaming, digital services, semiconductors, and healthcare. As organizations move AI into production, they are increasingly turning to Mindgard to discover, assess, and defend against AI risk.

"Organizations 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. We believe this team can define the AI security category."

“AI security is an emerging category and Mindgard stands out as one of the names to watch,” said Kristjan Laanemaa, Founding Partner at Karma Ventures. “Its technology is built on world-class offensive security research, combining automated reconnaissance with smart penetration testing. Crucially, it’s already proven in production - some of the most demanding F2000 enterprises rely on it to safeguard their AI systems. That combination of a defensible research moat and proven enterprise pull is rare. We’re proud to support James, Peter, and the team in defining this category.”

For more information on Mindgard, please visit https://mindgard.ai/. For access to past and future disclosures, please visit mindgard.ai/learn/disclosures.

About Mindgard

Mindgard helps organizations discover, assess and defend their AI systems. Spun out of more than a decade of AI security research at Lancaster University in the UK and headquartered in Boston and London, Mindgard operationalizes the expertise of AI researchers and offensive security practitioners through a Security Platform that performs Shadow AI discovery, AI red teaming, and run-time AI protection to assess and mitigate risk across models, agents, and applications.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260812503461/en/