Mindgard, an AI security startup, has successfully closed a $30 million Series A funding round, bringing its total funding to nearly $42 million. This significant investment underscores the increasing demand for robust security measures in the rapidly expanding field of artificial intelligence.
The funding round was led by Album VC, with participation from new investor Karma Ventures and existing backers .406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar. Mindgard intends to utilize the capital to scale its product development, engineering, sales, and marketing teams to meet the growing needs of its customer base.
Advancing AI Security Through Continuous Testing
Originating from Lancaster University, which houses one of the world’s largest AI security labs, Mindgard has transformed over a decade of research into a commercial platform. The company’s primary innovation lies in its Dynamic Application Security Testing (DAST) for AI—a continuous, automated red-teaming framework. This approach actively tests AI models, agents, and applications for vulnerabilities using real-world attack techniques, moving beyond theoretical risk assessments.
Mindgard’s offensive security strategy has already led to the identification and public disclosure of over 150 high-impact security and safety vulnerabilities in widely deployed AI products. Each discovery contributes to the company’s proprietary threat intelligence knowledge base, continually enhancing its offensive and defensive algorithms.
Meeting the Growing Demand for AI Security
As AI technologies become integral to various industries, the need for specialized security solutions has become paramount. Mindgard’s platform addresses this need by providing continuous vulnerability testing, which has become a primary requirement for organizations integrating AI into their core operations.
James Brear, CEO of Mindgard, emphasized the necessity of a new approach to AI security, stating that organizations require fundamentally different strategies to secure AI systems. He highlighted that Mindgard operationalizes expertise by transforming the knowledge of leading AI security researchers and offensive security practitioners into capabilities that enterprises need to protect their AI assets.
The Series A funding follows rapid adoption of Mindgard’s solutions across Fortune 2000 enterprises and AI-native startups in sectors such as financial services, pharmaceuticals, gaming, digital services, semiconductors, and healthcare. As organizations transition AI from pilot projects to core operational workflows, continuous vulnerability testing has become essential.
Ty Boswell, partner at Album VC, described the investment as defining a new cybersecurity category. He noted that organizations are integrating AI into critical operations without existing security infrastructure designed for these systems. 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.
With AI adoption accelerating globally, Mindgard’s latest funding round highlights a fundamental shift: AI security is now recognized as a distinct discipline requiring specialized tools and research, rather than being an afterthought appended to traditional application security.
As AI systems become more complex and integral to business operations, the attack surface for potential threats expands. Mindgard’s proactive approach to AI security, focusing on continuous testing and real-world attack simulations, positions the company as a leader in this emerging field. Organizations investing in AI technologies should prioritize integrating such specialized security measures to safeguard their assets and maintain trust in their AI-driven operations.
