Attack
The Whole System
Discover reveals exposure. Recon identifies the best routes. Attack concentrates effort where it matters, reducing prompts and cost.
The Model Is Not Enough
Attackers do not respect product boundaries. They probe prompts, agents, APIs, tools, memory, data flows, guardrails, and infrastructure. Testing only the model leaves the most useful attack paths untouched in production.
Recon Comes Before Attack
Mindgard fingerprints the deployed AI system, reveals reachable components, and identifies where controls can be tested. Then it launches targeted adversarial campaigns against the paths most likely to produce meaningful impact.
Exploit Evidence Drives Hardening
Mindgard does not bury teams in theoretical findings. Successful attacks show what can be manipulated, bypassed, exposed, or abused. Clear evidence helps security and engineering teams close the routes attackers would use.
Focus Effort Where It Pays
Use attacker-style reconnaissance to concentrate testing effort and reduce exploitable risk across the complete AI system.
- See the connected risk. Bring models, applications, agents, controls, and infrastructure into one security view so teams can prioritize weaknesses across the complete system.
- Spend prompts where they matter. Use reconnaissance to direct attacks toward likely failure points, improving signal while reducing unnecessary prompt volume and testing cost.
- Show the surface shrinking. Compare results after remediation to prove which exploitable paths closed and where residual exposure still requires security attention.
Learn More
Mindgard has helped some of the world's leading businesses to secure their AI agents, systems and infrastructure against real-world attacks. Learn more about real-life use cases from real customers.
