Are you properly equipped to stop fraud in real time?

Most fraud tools rely on post-transaction analysis. By the time the alerts fire, the funds are gone, and your team is left cleaning up. With Fingerprint’s industry-leading device intelligence and Unit21’s real-time rules engine, that changes.

Join us for a live walkthrough of three real-world fraud scenarios where we’ll demonstrate how fraud and AML teams can detect threats earlier, investigate faster, and file with confidence.

We'll cover:

• Credential Stuffing: Identify coordinated logins that share a device ID across many accounts
• Tech-Support Scams: Flag remote‑access manipulation and scam‑driven fund transfers the instant they begin
• Geo-Location Spoofing: Reveal VPNs, proxy use, and time‑zone mismatches with device and session intel

You'll learn how to:

• Build and tune fraud and AML rules around high-fidelity device signals
• Detect cross-account abuse and scam rings with network analysis
• Dynamically update risk scores based on behavioral and session anomalies
• Auto-generate SARs and STRs using AI-assisted case narratives
• Streamline detection-to-filing workflows in a single end-to-end platform