Continuous & Automated AI Red Teaming

Red team AI systems and agents by emulating real attacker behavior to uncover high-impact vulnerabilities across models, tools, data, and workflows before they are exploited.

Run-Time Artifact Scanning

Ensure AI systems are secure and function as intended in live environments. 

Automated AI Red Teaming for Real-World Threats

Mindgard continuously tests AI systems in context, mirroring how attackers discover, exploit, and weaponize AI behavior across enterprise environments.

Attacker-Aligned AI Red Teaming

Mindgard automates AI red teaming by emulating real adversary workflows, including reconnaissance, exploitation planning, and execution, to reveal how attackers can misuse AI systems to achieve real objectives.

System-Level AI Security Testing

Mindgard tests complete AI systems rather than isolated models, capturing how agents, tools, APIs, data sources, and workflows interact to expose vulnerabilities that only emerge at the system level.

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Continuous AI Risk Discovery and Assessment

Mindgard continuously red teams AI systems as they evolve, identifying new attack paths, behavioral weaknesses, and exploit opportunities introduced by model updates, configuration changes, or expanded capabilities.

Actionable Findings and Remediation Guidance

Mindgard surfaces high-impact vulnerabilities with clear evidence, attacker context, and remediation guidance, enabling security teams to prioritize fixes, validate defenses, and reduce AI risk without operational disruption.

Learn how Mindgard can help you navigate AI Security

Take the first step towards securing your AI. Book a demo now and we'll reach out to you.