HelmGuard, an agentic governance, risk and compliance and security platform using AI agents to automate enterprise risk assessment, has raised $7.3 million in funding co-led by Infinity Ventures and Frontline. FinTech Collective, Stage 2 Capital and Entrepreneurs First also participated.
The investment will support US expansion, new offices in New York and San Francisco, engineering and go-to-market hiring, and development of technology for evaluating AI agent behaviour at runtime.
Automating Risk and Compliance Assessments
HelmGuard connects fragmented security, risk and compliance information with data collected directly from source systems. Specialised AI agents handle workflows including third-party risk management, agent assurance and control gap assessments, reducing assessment cycles from weeks to hours.
“Most compliance platforms were built to document a process, not to reach a conclusion. Now they're using AI to produce those documents faster, which doesn’t help anyone decide anything. Our agents go to the source to collect and assess risk signals directly, abstracting away the manual data collection and assessment work that burns thousands of hours annually. This funding lets us bring that capability to far more teams and extend it to governing the AI agents being deployed on other workflows.” - John Daley, co-founder and CEO of HelmGuard
Growing Across Regulated Markets
HelmGuard serves customers across the US, Canada, UK, Hong Kong and South Africa. For one US insurance customer, the platform assessed 1,250 counterparties in less than a week, followed by migration from a legacy GRC system in under 10 days. Another customer reduced assurance response times from days to minutes.
The platform also supports high-growth companies operating in regulated sectors, including London-based AI company Callosum.
Building Continuous AI Agent Assurance
HelmGuard is developing an assurance layer designed to continuously assess changing AI systems rather than relying on static certifications and questionnaires. The Verified Risk Network enables verified risk claims to move between organisations and AI agents while maintaining current information about counterparties and deployed systems.
“An AI vendor's risk profile changes with every model update and every new tool its agents can call. As a result, a certification issued months ago describes a reality that our customers cannot rely upon. Regulated buyers need to ask a current question and get a verified current answer, while vendors don’t want to be bogged down re-answering stale questionnaires. The Verified Risk Network makes the unit of assurance a claim assessed directly by an agent, rather than a document, and enables agent-to-agent exchange on a continuous basis.” - Jack Miller, co-founder and CTO of HelmGuard