Mindgard, an AI security startup, has raised £22 million in a Series A led by Album VC, with participation from Karma Ventures and existing investors .406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar. The platform assesses and protects AI models, agents, and applications from adversaries.
Combining AI security research with offensive security expertise, Mindgard has created the first platform that captures and exploits the newly discovered psycho-technical attack surface manifesting within AI models, agents, and applications. Underpinning that work is the world's largest AI security lab at Lancaster University. Rather than simply automating attacks, the platform operationalises the knowledge of AI security researchers and offensive security practitioners, giving security teams access to continuously evolving, state-of-the-art offensive and defensive capabilities for AI.
In an industry rife with speculation and hypotheticals, the 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 feeds a proprietary knowledge base that continuously strengthens the Mindgard AI Security Platform.
The Series A follows accelerated deployment within a large number of the Fortune 2000 and AI innovators across financial services, pharmaceuticals, gaming, digital services, semiconductors, and healthcare. As organisations move AI into production, they are increasingly turning to Mindgard to discover, assess, and defend against AI risk.
Funding will be used to scale across product, engineering, sales, and marketing in response to significant customer demand, and to expand the company's global reach.
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. This investment will expand our global reach and help make attacker-driven AI security a core part of how organizations implement and manage AI.
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.
AI security is an emerging category and Mindgard stands out as one of the names to watch. 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.
