Adversarial testing to uncover misuse, safety bypasses, and harmful outputs.
We conduct adversarial testing of AI models and AI-powered systems to identify potential misuse vectors, safety bypasses, prompt manipulation risks, and pathways for harmful outputs. Our certified team utilizes industry-standard methodologies to perform these engagements, providing comprehensive reports and actionable remediation recommendations customized to your specific operational environment.
Apply adversarial machine learning techniques to probe model robustness and evasion resistance.
Attempt to bypass built-in safety guardrails to identify jailbreak and misuse pathways.
Test resistance to manipulated or adversarial prompts designed to elicit unintended behavior.
Evaluate the model for pathways that could produce biased, unsafe, or harmful content.
Assess model behavior for bias, fairness issues, and robustness across varied inputs.
Benchmark findings against frameworks such as the NIST AI RMF to guide remediation.
A structured, repeatable methodology that delivers measurable outcomes — every engagement follows the same rigorous process.
Identify target models, use cases, and adversarial testing objectives.
Map likely misuse vectors, safety bypass techniques, and adversarial attack paths.
Execute adversarial ML and prompt manipulation techniques against the model.
Assess results for safety bypasses, harmful outputs, and bias or fairness issues.
Evaluate the real-world impact and likelihood of each identified misuse vector.
Deliver findings with prioritized, responsible-AI-aligned remediation guidance.
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AI red teaming is adversarial testing of AI models and AI-powered systems to uncover misuse vectors, safety bypasses, and harmful output risks before attackers do.
AI/LLM security testing focuses on application-level risks like prompt injection and data leakage. AI red teaming focuses on the model’s safety, robustness, and misuse potential itself.
Yes, bias and fairness testing is a core part of our AI red teaming methodology.
We align our engagements to recognized frameworks such as the NIST AI RMF and responsible AI best practices.
Yes, we provide detailed, prioritized recommendations to address every identified risk.
Talk to our specialists today. We'll identify your biggest risks and build a roadmap tailored to your business.
