Mindgard is an innovative platform designed to address the growing cybersecurity challenges faced by AI systems. It specializes in securing AI applications, including generative AI and large language models (LLMs), through dynamic and automated red teaming.
Unlike traditional cybersecurity tools, which are ineffective against AI’s unique vulnerabilities, Mindgard integrates with AI development workflows, providing continuous, real-time security testing throughout the entire AI lifecycle. This approach significantly reduces the time and cost required for vulnerability detection, empowering developers and security teams to act swiftly on emerging threats.
Founded at Lancaster University in the UK, Mindgard has built its platform from over a decade of research in AI security. Its deep integration into CI/CD pipelines ensures that AI systems remain secure from deployment to operation.
By automating red teaming and risk assessment, Mindgard enables organizations to protect their AI assets from a variety of attack vectors, such as data poisoning, model stealing, and evasion tactics, that traditional methods miss. The platform’s scalable testing capabilities offer comprehensive security insights for enterprises of all sizes.
