AI systems can behave correctly in testing and still fail under unexpected, adversarial, or high-risk conditions. We challenge your AI before those failures reach real users, workflows, or decisions.
Test AI systems, agents, and workflows against adversarial scenarios, policy requirements, and real-world risk before they affect critical decisions.
Traditional software testing verifies whether a system works as expected. AI validation goes further — examining how systems behave when inputs are ambiguous, manipulated, unexpected, or outside the conditions they were designed for.
Validate AI systems and agents before exposing them to customers, employees, or critical workflows.
Generate structured evidence for AI governance, security, compliance, and internal review processes.
Featured capability
Test systems where incorrect or inconsistent behavior could create meaningful operational, financial, compliance, or human impact.
Retest after model updates, prompt changes, new tools, integrations, permissions, or workflow modifications.
Identify the system, critical workflows, expected behaviors, policies, and risk boundaries.
Generate and execute adversarial scenarios designed to expose weaknesses and unexpected behavior.
Assess results against defined criteria, risk signals, policy requirements, and expected outcomes.
Deliver findings, supporting evidence, severity assessments, and remediation guidance.
Structured adversarial testing, repeatable evaluation, and documented evidence — supported by Norma and reviewed by experienced specialists.
Your AI
Challenge your AI systems before real users do, with adversarial testing and documented evidence you can act on.