Mindgard

Boston, Massachusetts, USA · ≈36 employees · mindgard.ai

Mindgard is the offensive security platform purpose-built for AI systems and agents. We help security and engineering teams discover the vulnerabilities most likely to lead to a breach, close defensive gaps and maintain continuous policy compliance as their AI systems change. Traditional AppSec tools were not designed for the unpredictable behavior and novel attack surfaces of AI. Manual testing is slow, difficult to reproduce and cannot keep pace with changing models, agents, applications and connected tools. Runtime guardrails can block known threats, but they cannot show whether an AI system is actually secure. Mindgard combines attacker-led reconnaissance with automated AI Red Teaming to reveal how adversaries can discover and exploit your AI. The platform rapidly reduces AI risk assessments from weeks to hours, helping teams: • Discover and map AI systems, activity and attack surfaces • Continuously assess models, agents, applications and connected tools • Identify and validate exploitable vulnerabilities and defensive gaps • Prioritize remediation based on business risk • Verify fixes and provide evidence that security and policy requirements are met Mindgard works across the AI lifecycle and with the models and guardrails enterprises build, buy and use. Teams can assess AI directly or through applications using our web interface, CI/CD workflows or tools such as Burp Suite. Coverage extends beyond LLMs to image, audio and multimodal systems, including open-source, inte