AI System Testing & Adversarial Simulation
Specialised adversarial testing and validation to measure and improve AI resilience.
Traditional pentesting misses AI-specific threats. Models can be tricked, poisoned, or reverse-engineered, leaving many organizations unprepared.
Our Approach
We bring specialised adversarial testing capabilities to uncover these weaknesses before attackers do. Using red-teaming, model robustness validation, and tailored penetration tests, we simulate the tactics adversaries would use against your AI.
Our testing goes beyond finding “bugs.” We measure resilience, evaluate business impact, and provide clear remediation steps. This allows your teams to strengthen defences proactively rather than reactively.
By combining AI security research with practical consulting, we help organisations move from “unknown risks” to measurable resilience. The outcome is simple: AI systems that can be trusted under pressure.
Service Offerings
Adversarial ML Testing
Evasion, poisoning, and inversion simulations to evaluate and improve model resilience.
Red Teaming for AI
End‑to‑end exercises targeting models, APIs, and pipelines to uncover vulnerabilities.
Penetration Testing
Security testing of AI‑enabled infrastructure and integrations with remediation guidance.
Model Robustness Validation
Validation of stability against bias drift, data manipulation, and performance degradation.