Continuously test AI systems using real system data and the industry’s most advanced AI safety datasets and attack libraries.
Continuously test AI systems using real system data and the industry’s most advanced AI safety datasets and attack libraries.
Assess AI systems against the attacks that matter most. Mindgard applies the largest, attacker-aligned attack and safety datasets to continuously test models, agents, and applications through realistic, multi-step scenarios that expose high-impact vulnerabilities with clear evidence and remediation.
Verify the strength of guardrails, safety filters, and access controls by testing systems the same way attackers would. Expose control gaps before they’re exploited and strengthen defensive posture with targeted hardening guidance.
Strengthen system prompt security by simulating real attacker behavior to test for prompt injection, guardrail gaps, and unsafe tool use. Clear evidence and remediation guidance help teams harden prompts and validate defenses over time.
Scale AI red teaming through automated discovery, adversarial generation, and chained attack behaviors. Pressure-test models, agents, and applications continuously with structured, repeatable assessments that keep pace with system changes.
Produce clear, defensible evidence of AI risk through unified reporting, validated findings, and governance-aligned documentation. Communicate impact confidently and meet audit expectations with consistent and up-to-date assessments.
Whether you're just getting started with AI Security Testing or looking to deepen your expertise, our engaging content is here to support you every step of the way.
See how Mindgard exposes and fixes exploitable AI risk across your AI agents and systems.
Mindgard, the leading provider of AI security solutions, helps enterprises discover, assess, and defend their AI systems. Spun out from over a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard combines AI red teaming with offensive security expertise and AI research to identify exploitable vulnerabilities in AI models, agents, and applications before attackers do.
