Mindgard Secures $30 Million to Advance AI Security Platform
AI security startup Mindgard has raised $30 million in Series A funding to scale its platform, which uses automated red-teaming to find vulnerabilities in AI models and applications.
AI security startup Mindgard has successfully closed a $30 million Series A funding round, bringing its total funding to nearly $42 million. This significant investment underscores the escalating demand from enterprises for robust solutions to secure their rapidly expanding artificial intelligence deployments. The funding round was spearheaded by Album VC, with participation from new investor Karma Ventures and existing backers including .406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar. Mindgard intends to leverage this capital to expand its product development, engineering, sales, and marketing teams, aiming to meet the growing customer interest and demand for its specialized AI security offerings. Mindgard, which originated from Lancaster University's AI security lab, has translated over a decade of academic research into a commercial-grade platform. Its core technology employs a Dynamic Application Security Testing (DAST) approach specifically tailored for AI. This framework utilizes automated red-teaming and simulates real-world attack techniques to proactively identify vulnerabilities within AI models, agents, and applications. The company emphasizes an offensive security mindset, moving beyond theoretical risk assessments to uncover concrete, validated security flaws before they can be exploited by malicious actors. The platform's continuous testing capabilities are built upon advanced methodologies in autonomous penetration testing, designed to evaluate AI model behavior under adversarial conditions. Mindgard's offensive strategy has already proven effective, with its platform identifying and publicly disclosing over 150 high-impact security and safety vulnerabilities across various deployed AI products. Each identified vulnerability is fed back into Mindgard's proprietary threat intelligence knowledge base, continuously enhancing its offensive and defensive algorithms. "AI is creating an entirely new attack surface and organizations need a fundamentally different approach to securing it," stated 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." The startup has seen rapid adoption among Fortune 2000 enterprises and AI-native startups across diverse sectors, including financial services, pharmaceuticals, gaming, digital services, semiconductors, and healthcare. As organizations increasingly integrate AI into their core operational workflows, continuous vulnerability testing has become a critical requirement. This latest funding round highlights a pivotal shift in the cybersecurity landscape: AI security is emerging as a distinct and critical discipline, separate from traditional application security, demanding specialized tools and research informed by adversarial perspectives.