AI Security Startup Mindgard Raises $30M

Mindgard, an AI security startup spun out of Lancaster University, has raised $30 million in a Series A funding round, bringing its total funding to nearly $42 million. The company plans to use the capital to expand its automated red-teaming platform, which is designed to identify and neutralize threats to AI systems.

Funding Round Details

The investment was led by Album VC, with participation from Karma Ventures and existing investors including .406 Ventures, Atlantic Bridge, IQ Capital, and Lakestar. The round brings Mindgard's total funding to approximately $42 million, following an earlier seed round.

Founded in 2022 and headquartered in both London and Boston, Mindgard has developed a platform that automates security testing for AI models, agents, and applications. The company positions itself as a continuous red-teaming solution that maps an organization's full AI attack surface, analyzes it for vulnerabilities, and provides runtime protection.

Platform Targets Psycho-Technical Attacks

Mindgard's platform is designed to capture and exploit what the company calls the "psycho-technical attack surface" within AI systems. This includes vulnerabilities that arise from interactions between psychological manipulation and technical flaws, such as prompt injection or model manipulation.

The platform acts as an automated red-teamer, identifying exploits, assessing risk, and defending AI systems. It maps the entire attack surface, continuously analyzes it, and delivers runtime protection to stop attacks "dead in their tracks," according to the company.

Proven Track Record of Finding Flaws

Mindgard claims its solution has uncovered over 150 vulnerabilities across popular AI products. These include a zero-day code execution flaw in Cursor IDE, as well as security defects in Google Antigravity and ChatGPT. The company says these discoveries demonstrate the platform's effectiveness in identifying real-world weaknesses in widely used AI tools.

"AI is creating an entirely new attack surface and organizations need a fundamentally different approach to securing it," said Mindgard CEO James Brear.

— James Brear, CEO, Mindgard

Funding to Accelerate Growth

Mindgard will use the fresh funding to scale its product, engineering, sales, and marketing teams. The investment will help accelerate deployments across financial services, digital services, gaming, healthcare, pharmaceutical, and semiconductor sectors.

The company's expansion comes as organizations increasingly look for specialized security tools to address AI-specific risks, which traditional security measures often fail to cover.

Key Facts at a Glance

• Funding amount: $30 million Series A
• Total funding: Nearly $42 million
• Vulnerabilities discovered: Over 150
• Founded: 2022

Why It Matters

The funding round signals growing investor confidence in automated AI security. As AI adoption accelerates across industries, the attack surface expands in ways that require continuous, automated red-teaming and runtime protection. For enterprises, this suggests that integrating AI securely will become a priority, and tools like Mindgard's could become essential components of cybersecurity strategies.

While the company's platform has already demonstrated success in finding vulnerabilities in popular AI products, the broader market for AI security is still developing. The funding positions Mindgard to capitalize on this emerging need, but the effectiveness of its approach in real-world deployments will be key to its long-term success.