Mindgard is an AI security platform with attacker-led AI red teaming to discover, prove, and remediate exploitable risks across AI models, agents and applications.
Mindgard provides an AI security platform designed for security and engineering teams responsible for AI systems in development and production. It emphasizes attacker-aligned testing and continuous visibility into AI risk across models, agents, tools, data, and infrastructure.
Mindgard operates as an autonomous red teamer, continuously mapping, planning, and executing complex, agentic attack workflows to reveal and reduce real-world AI risk. It profiles AI systems the way attackers do, maps models, agents, tools, and behaviors before attack execution, and uses proprietary intelligence from public vulnerabilities to strengthen its testing.
The platform is designed to be deployed through APIs, CI/CD pipelines, Burp Suite, or a single-click workflow, enabling teams to assess AI systems before deployment and continuously in production. It integrates into existing development and security workflows so organizations can secure AI systems and agents across production environments.
Mindgard secures AI models, agents, and applications against exploitable threats by combining offensive security, AI red teaming, attacker intelligence, and automated protection to help organizations discover, assess, and mitigate risk across AI models, agents, and applications.
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