Quantifiable Governance for High-Stakes AI
Transform "Black Box" uncertainty into rigorous, audit-grade assurance. Adversaia™ (Ad-verz-A-I) automates the stress-testing of decision logic, ensuring your models remain within safety bounds and regulatory compliance.
The Outcomes
Regulatory Alignment
Generate the documentation required for the EU AI Act and global financial frameworks through automated Decision Contracts.
Drift Protection
Detect and mitigate Cognitive Drift before it manifests in production environments, protecting your organization from reputational and financial loss.
Continuous Validation
Transition from point-in-time audits to a continuous "Shadow Mode" validation cycle.
What We Test
Decision-Logic Integrity
Verifying that models adhere to pre-defined constraints even when presented with edge-case adversarial inputs.
Bias & Fairness Robustness
Testing the stability of model outcomes across protected classes under simulated data shifts.
Exfiltration Resistance
Probing the model's propensity to leak sensitive training data or proprietary logic through prompt injection.
Metrics That Matter
Statistical certainty of model performance under high-entropy scenarios.
Constraint Violation Rate: Frequency of model outputs breaching defined safety and policy boundaries.
A cryptographically signed audit trail of every test run and model version.
How the Pilot Works
Resilience Baselining (Week 1–2)
We integrate with your staging environment and establish your initial Attack Resilience Index (ARI) across your core workflows.
Adversarial Simulation (Week 3–4)
Using Cognitive Drift Injection (CDI), we execute thousands of synthetic attack scenarios to identify "breaking point" vulnerabilities in your decision logic.
Remediation & Retest (Week 5–6)
Your team applies patches based on our Findings. We run automated re-tests to verify the fix and provide a final Executive Resilience Report for leadership and regulators.