Stop fraud at the source—before the first click.
Unit21’s Device Intelligence capabilities, powered by a partnership with Fingerprint, allow you to instantly recognize risky devices, uncover fraud rings, and stop threats before they transact—all within the same platform you already use to manage risk and compliance.
Powerful risk signals integrated directly into fraud & AML workflows
Install
the SDK
Drop a lightweight SDK into your app or website—supports web, iOS, Android, and hybrid environments.
Capture Device
Signals
Fingerprint generates a persistent, high-accuracy device ID and collects smart signals
Ingest into
Unit21
All device data flows into Unit21 automatically—no additional integration required.
Detect Risk in
Real-Time
Use device signals in real-time rules to block suspicious activity, trigger alerts, or assign risk scores.
Investigate with
Full Context
Surface linked devices, visualize relationships, and act faster—directly from your case management workflow.
Recognize devices. Block fraud. Protect revenue.
With Unit21 Device Intelligence, you gain access to persistent, high-fidelity device IDs and real-time Smart Signals like VPN Detection, Virtual Machine Detection, and more. All signals are available in real-time for use in our rule engine—no black boxes, no external tooling required.
Device Intelligence delivers real-time defense & measurable impact
Stopping Scaled Credential Abuse
An alert flags dozens of accounts accessed from the same device. Unit21’s Device Intelligence detects a “high-velocity” fingerprint—used across an implausible number of users—alongside several accounts logging in from an unusually high number of devices. Classic signs of credential stuffing. Real-time rules trigger instantly, and Network Analysis maps shared fingerprints and IPs—uncovering a coordinated fraud ring. Unit21’s AI Agent accelerates the investigation by summarizing key behaviors and linking related accounts, reducing review time by up to 80%.
Blending Human Insight with Smart Signals
A panicked elderly user tries to wire money for a fake emergency. While the device is known, Device Intelligence flags unusual user behavior - suggesting coercion. Unit21 can detect changes in contact info, transaction patterns, and customer service history, triggering alerts and surfacing a pattern of similar scams across other users. Analysts use network and risk scoring tools to escalate and stop the flow of funds, with Unit21 pre-filling SAR details.
Detecting Remote Control Before It’s Too Late
An elderly customer initiates a suspicious wire through their banking application on the Web, after a fake “tech support” pop-up. Device Intelligence flags remote access tool usage, which triggers Unit21 rules for behavioral anomalies. Graph-based analysis reveals a wider scam pattern, while dynamic risk scoring halts outgoing transfers. The AI Agent helps compile a full SAR narrative for rapid compliance.
Unmasking Risk Hidden Behind VPNs and Fake Locations
A user appears to log in from New York - but Device Intelligence shows the same device was just in Nigeria. IP manipulation, timezone mismatches, and keyboard patterns expose geo-spoofing. Unit21 rules catch the inconsistency and flag the transaction, while graph analysis reveals a cross-border fraud network. Risk is dynamically elevated and a regulator-ready SAR is drafted by Unit21.
The State of Fraud & AML
In our third year, we surveyed 350+ practitioners across banks, credit unions, and fintech. Five trends emerged.
