Automated AI Red Teaming and Model Security Testing

COMPANY OVERVIEW

Mindgard is an AI security company spun out of over a decade of research at Lancaster University. Founded in 2022 by Peter Garraghan, the company addresses the critical gap organizations face when rapidly adopting AI technologies without visibility into how probabilistic behaviors introduce exploitable risk. Headquartered in Boston with offices in London, Mindgard has secured more than $11 million in funding from .406 Ventures, Atlantic Bridge, WillowTree Investments, IQ Capital, and Lakestar.

CORE FOCUS

Mindgard delivers continuous automated AI red teaming and security testing that enables enterprises to map their AI attack surface, measure and validate AI risk, and actively defend their AI systems at scale. The platform bridges the gap between traditional security controls — which fail against the probabilistic nature of LLMs — and the real-world attack techniques adversaries use against AI systems. Coverage spans model theft, prompt injection, adversarial inputs, jailbreaks, and data poisoning across the full AI lifecycle from development through production.

PRODUCTS & TOOLS

AI Red Teaming Platform Automated adversarial testing engine that continuously probes enterprise AI systems using thousands of attack techniques mapped to OWASP Top 10 for LLMs and MITRE ATLAS.

Policy Engine & Runtime Defense Enforcement layer that applies custom security controls to AI systems in production to stop attackers from breaching deployed models.

CI/CD Security Integration Developer-friendly CLI and pipeline integration that embeds AI security testing directly into software delivery workflows.