Mindgard raises $30M as enterprises look to secure AI systems

Mindgard has raised $30 million in Series A funding as it looks to expand its AI security platform and grow its presence with enterprise customers. 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 put the funding toward product development, engineering, sales and marketing.

The Boston- and London-based company focuses on finding security weaknesses in AI models, agents and applications. Its platform combines AI red teaming, shadow AI discovery and runtime protection, using research and offensive security work tied to Lancaster University. Mindgard says its technology has been used to identify more than 150 publicly disclosed security and safety vulnerabilities in widely used AI products, including issues affecting Cursor, Google products and ChatGPT.

The funding comes as more companies move AI systems into production, creating a broader set of security questions around model behavior, agent access, data exposure and application weaknesses. Mindgard is targeting that gap with testing designed around how attackers interact with AI systems in practice. The company says it is already working with Fortune 2000 organizations across financial services, pharmaceuticals, gaming, digital services, semiconductors and healthcare.

For security providers, the growth of companies like Mindgard points to AI security becoming a more defined part of the security stack. As customers deploy more models and AI agents, MSSPs and other service providers will have to account for those systems in vulnerability testing, red teaming and ongoing monitoring. Mindgard’s new funding gives it more resources to build around that demand as enterprises work out how AI security fits into existing security operations.