Offensive Security Testing for  AI Systems

Powered by the world’s most effective attacker-aligned attack library, Mindgard enables security teams to uncover how real adversaries discover, exploit, and escalate attacks against AI systems.

Continuous Security Testing & Automated AI Red Teaming

Mindgard enables organizations to continuously pressure-test AI systems the same way real attackers do, across development, deployment, and runtime.

Find and remediate AI vulnerabilities only detectable at run time. Integrate into existing workflows with CI/CD automation and a Burp Suite extension

Secure the AI systems you build, buy and use.

Test AI applications, agents and LLMs, including image, audio and multi-modal models.

Empower your team to Identify AI risks that static code or manual testing cannot detect. Reduce testing times from months to minutes.

Mindgard applies the same tactics and techniques real attackers use to probe and exploit AI systems across models, agents, and workflows. Attacker-aligned testing at scale surfaces high-impact risks with clear evidence and actionable remediation.

Spun out of leading university AI security research, with over a decade of work studying how AI systems fail under adversarial pressure. This research directly informs the attacks, testing strategies, and defenses built into the Mindgard platform.

How Mindgard Mirrors Real Attackers
Connect
your
AI System

Point the Mindgard platform to your existing AI products
and environments

Schedule &
Run Security Tests

Effortlessly run custom or scheduled tests on your AI with just one click

Risk
Collection & Analysis

Get a detailed view of scenarios and threats to your AI, and easily analyse risks

View reports within your workflow

Integrate report viewing smoothly into your existing systems and SIEM.

Triage & Remediate
Risks

Empower your engineering team to review reports and take action with ease

Testing, Remediation & Training
World-class AI expertise from academia and industry
Continuous security testing across the AI lifecycle
Integrates into existing workflow and automation

Safeguard all your AI assets by continuously testing and remediating security risks, ensuring the security of both third-party AI applications and in-house systems.

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Emerging
Threats

Gain visibility and respond quickly to risks introduced by developers building AI.

AI Guardrail Testing

Evaluate and strengthen AI guardrails and WAF solutions against vulnerabilities.

Model Risk Comparison

Identify and address risks in tailored AI models versus baseline models.

Scalable AI Red Teaming

Empower pen-testers to efficiently scale AI-focused security testing efforts.

Deployment Testing

Enable developers to integrate seamless, ongoing testing for secure AI deployments.

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.