Mindgard, an AI security company, has raised €26 million ($30 million) in a Series A funding round. The round was led by Album VC, with participation from Karma Ventures and existing investors 406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar.
The company plans to use the new funding to grow its business and team. The investment will support its product development, engineering, sales, and marketing efforts as demand from customers continues to increase.
Mindgard combines AI security research and offensive security expertise to help protect AI systems from cyber threats. The company’s technology is supported by AI security research at Lancaster University and is designed to identify and test new types of attacks targeting AI models, agents, and applications.
“AI is creating an entirely new attack surface and organisations need a fundamentally different approach to securing it. 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. This investment will expand our global reach and help make attacker-driven AI security a core part of how organisations implement and manage AI,” said James Brear, CEO of Mindgard.
“Organisations 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,” said Ty Boswell, Partner at Album VC.
Founded in 2022 by Dr. Peter Garraghan and spun out of Lancaster University, Mindgard helps organizations find, test, and protect their AI systems. The company grew from more than 10 years of AI security research at Lancaster University in the UK.
Mindgard is based in Boston and London. Its platform brings together the knowledge of AI researchers and cybersecurity experts to help companies understand and manage risks in their AI systems.
The platform offers tools for Shadow AI discovery, AI red teaming, and real-time AI protection. These tools help organizations find and reduce security risks across AI models, agents, and applications.
