Get continuous, evidence-backed visibility into AI applications, models, and agents as they change and prove policy compliance.
AI governance and compliance standards change fast. Mindgard makes sure you stay compliant.
AI systems and agents change fast. You need to prove what changed, what was tested, and whether your defenses still meet policy.
Track changes across AI applications, models, prompts, agents, tools, data, and policies so teams know when risk needs to be reassessed.
Continuously validate AI systems against your security, safety, and governance policies as they move through development and production.
Identify where guardrails, controls, and reviews hold, degrade, or fail under attack-led assessment before changes are pushed to production.
Generate clear evidence that shows what was assessed, what passed, what failed, and what changed since the last review cycle.
Track changes across models, prompts, tools, agents, and configurations so teams can see when AI risk shifts and policy alignment needs to be reassessed.
Use attack-led assessment to prove where AI defenses meet policy and where guardrails, controls, or reviews miss risks that could become exploitable.
Give security, engineering, and GRC teams evidence of what was assessed, what passed, what failed, and what changed across each AI system over time.
Whether you're just getting started with AI Security or looking to deepen your expertise, our engaging content is here to support you every step of the way.
Mindgard helps organizations discover, assess and defend their AI systems. Spun out of more than a decade of AI security research at Lancaster University in the UK and headquartered in Boston and London, Mindgard operationalizes the expertise of AI researchers and offensive security practitioners through a Security Platform that performs Shadow AI discovery, AI red teaming, and run-time AI protection to assess and mitigate risk across models, agents, and applications.
