Platform: Adversaia™ (Ad-verz-A-I)
Stop Fraud Bypasses Before They Hit Production
Evolutionary red-teaming for fraud AI — measured, replayable, and safe (sandbox-only).
System
Under Test
Eval
Harness
ARI™
Score + Gaps
Evidence
Bundles
ARI™ Score (Sample)
CDI™
0.9
ARI™: 0-100 resilience score (higher = better).
CDI™: 0-1 confidence in detection integrity.
Example metrics from demo run.
Adversaia™ (Ad-verz-A-I)
BUILT FOR TEAMS IN
No production secrets. No live customer PII. Sandbox-only.
Fraud is evolving faster than detection
Scenario Engine
Generate realistic journeys and mutations to test controls over time.
Evaluation Harness
Measure control behavior against adversarial sequences and critical hops.
ARI™/CDI™ Scoring
Quantify resilience, explain gaps, and track drift with confidence bounds.
Evidence Bundles
Replay scripts, audit logs, and visual artifacts for defensible findings.
Measure fraud resilience safely
Define Scope & Controls
Specify journeys, threat models, and the control gates to test.
Generate Scenarios
Compose multi-phase attacks and mutate variants for coverage.
Run in Sandbox
Execute safely on scoped interfaces and record evidence.
Score Gaps + Replay
Quantify failures, export bundles, and replay deterministically.
Show me the output.
ARI™ Score (Sample)
CDI™
0.9
ARI™: 0-100 resilience score (higher = better).
CDI™: 0-1 confidence in detection integrity.
Example metrics from demo run.
Continuous red-teaming beats reactive, point-in-time testing.
Security & Privacy: Sandbox-only evaluation. No production secrets. No live customer PII.