From transactional fraud to criminal activity, our services detect anomalies. We stress-test your systems to expose vulnerabilities before they become losses.
Consumer fraud doesn’t stand still. From account takeover to synthetic identity and ACH fraud, attackers constantly probe for the gaps your models haven’t seen yet. We audit your existing detection models to find where they’re blind, then rebuild or retrain them to close those gaps.
From the moment a customer applies to the moment money moves, fraud lives across your business. We detect, stress-test, and rebuild fraud models across identity and onboarding, transaction scoring, behavioral analytics, network and relationship analysis, AML monitoring, and emerging threats. If a model touches money or identity, we can find where it’s blind.
Every payment rail is a target. Card-not-present, ACH, wire, and real-time payment fraud all exploit the same vulnerability: decisioning that happens in milliseconds with incomplete information. We stress-test your transaction scoring models against real-world attack typologies, from card testing and account takeover to authorized push payment fraud and mule network detection. The result is a model that catches what matters without drowning your team in false positives.
Fraud doesn’t always start at the transaction. Synthetic identities, loan stackers, and AI-generated documents are slipping through onboarding models that were never built to catch them. We audit your application scoring models against the full spectrum of identity, income, and asset misrepresentation. This includes emerging threats like deepfake documents and LLM-assisted identity construction. Then we rebuild where the model falls short, so you stop funding fraud you approved yourself.
We gain secure access to your existing fraud detection models and run a full diagnostic. We map your blind spots, test against real-world attack typologies, and document where your models are exposed. You get a clear picture of your risk before we touch a single line of code.
We build or rebuild your model. We benchmark your current champion model against a challenger we design. We test against synthetic identity, account takeover, ACH fraud, card-not-present, and other scenarios using static and historic attack data.
With real-time data, we provide a full risk analysis of champion versus challenger performance. We measure false positive reduction, detection rate lift, and ROI. So you know exactly how the model delivers.
