Aug 16, 2026
Enterprise

Mindgard $30M Series A backs expansion of AI security platform

Mindgard raised a $30 million Series A led by Album VC to expand its AI security platform across product, engineering, sales and marketing.

Dominic Okoye

By Dominic Okoye · Staff Writer

· 2 min read

Mindgard $30M Series A backs expansion of AI security platform
Photo: SiliconANGLE

Mindgard $30M Series A financing will fund expansion of the company’s platform for testing and protecting AI models, agents and applications. The $30 million round was led by Album VC, with Karma Ventures and existing investors .406 Ventures, Atlantic Bridge, IQ Capital and Lakestar participating, Mindgard said.

The company said it will spend the proceeds on product, engineering, sales and marketing as it responds to customer demand. Neither Mindgard’s announcement nor the supplied independent reports provide a valuation, revenue figure, customer count or headcount.

Mindgard, founded in 2022, says it spun out of more than a decade of AI-security research at Lancaster University and is now headquartered in Boston and London. Its financing adds capital to a security vendor focused specifically on AI systems as enterprises put models and agents into operational use.

What does Mindgard’s AI security platform do?

Mindgard says its platform combines three functions: Shadow AI discovery, AI red teaming and runtime AI protection across models, agents and applications. In practical terms, that puts discovery, adversarial testing and protection capabilities in one stated product stack, rather than treating AI deployment as a single security check.

The company describes its approach as drawing on AI-security research and offensive-security expertise. It says its technology has uncovered and publicly disclosed more than 150 high-impact security and safety vulnerabilities in widely used AI products. Those are company claims, and the supplied reporting does not independently assess the platform’s effectiveness.

Mindgard cites a zero-day code-execution vulnerability in Cursor IDE, a trusted-workspace flaw in Google Antigravity and image-generation guardrail failures in ChatGPT among its disclosed findings. The company says intelligence from such work strengthens its platform over time.

Where Mindgard says it is selling

Mindgard said it has seen deployments among Fortune 2000 companies and AI-focused customers in financial services, pharmaceuticals, gaming, digital services, semiconductors and healthcare. It did not name customers in the supplied material.

Album VC partner Ty Boswell said organizations are putting AI into critical operations without security infrastructure designed for how those systems work in practice. Mindgard and the supplied industry reporting frame production AI deployments as creating additional security questions around models, agents and applications.

For buyers, the relevant issue is how an AI-specific tool fits into the broader enterprise security program, including the teams and processes responsible for testing and monitoring deployed systems. Mindgard’s new capital is directed at building and selling its stated product suite; its claims of demand, deployment and vulnerability discovery remain attributable to the company.

This story draws on original reporting from SiliconANGLE.

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