Fingerprint Unmasks Spoofed Location
Despite VPN masking and GPS spoofing, Fingerprint detects IP manipulation, device fingerprint reuse, and inconsistent session metadata (like time zone mismatches and keyboard language changes). It flags this as geo-location spoofing, a common sign of mule or ATO behavior.
Unit21 Rule Flags the Event
A behavioral rule in Unit21 fires: the transaction originated from a device with conflicting geo signals or other detection evasion patterns. Combined with other risk factors (e.g. first-time beneficiary, large wire), it’s escalated to an analyst.
Network Analysis Reveals a Cross-Border Ring
Analysts pivot from the account using Unit21’s graph-based tooling, uncovering a network of users showing similar spoofing behavior - logging in from “safe” geographies while conducting activity linked to sanctioned or high-risk jurisdictions.
Dynamic Risk Recalibration
Based on spoofing detection and pattern linkage, Unit21 automatically increases the risk score for the customer and connected accounts. Future high-risk transactions are paused pending review.
AI Agent Drafts Filing Based on Risk Typologies
The analyst uses Unit21’s AI Agent to generate a SAR narrative citing red flags such as VPN use, location inconsistency, and signs of structuring. The case is submitted directly through the platform - evidence preserved, compliance streamlined.
