Continuously map and assess AI risk, validate defenses, and execute red-team testing at scale, giving you clear visibility into vulnerabilities and confidence when reporting to stakeholders and auditors.
Ensure AI systems are secure and function as intended in live environments.
Mindgard reveals how attackers exploit your AI via continuous attack surface mapping and automated AI red teaming to uncover shadow AI and assess AI risk.
Build a complete understanding of your AI systems by uncovering how models behave, what they connect to, and where weaknesses emerge. Surface hidden exposures early so security teams can reduce uncertainty and make informed decisions.
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.
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.
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.
Take the first step towards securing your AI. Book a demo now and we'll reach out to you.
