Device Intelligence

Real-time device risk scoring that stops fraud without slowing down good customers.

Identify high-risk devices, even before a user becomes a customer, and stop account takeovers before the money moves, all inside the Unit21 risk management platform. A single 0–100 Device Risk Score powered by real-time signals, fully transparent and immediately usable in decision logic.

Get a Demo

How It Works

Encrypted device intelligence, operationalized inside Unit21

Unit21 captures high-risk device activity at the point of interaction, securely transmits signals in real-time, and converts them into an enforceable 0–100 Device Risk Score, fully embedded within your fraud and AML workflows.

Install the SDK

Deploy a lightweight SDK across web, iOS, Android, or hybrid environments. Integration takes minutes and immediately begins collecting device-level risk indicators at login, signup, and transaction events.

Encrypt & ingest signals in real-time

Device signals are securely encrypted and transmitted to Unit21 in real-time. All attributes are normalized and structured for immediate use inside your fraud and AML workflows.

Generate a transparent 0–100 risk score

Ingested signals are consolidated into a clear, explainable Device Risk Score. Score composition is visible, auditable, and usable directly in your rules engine. All glass box, no black box

Detect & enforce instantly

Device signals and risk scores are immediately available for decisioning. Define thresholds, combine with transaction or KYC data, and trigger actions: block, step-up authentication, alert, or monitor.

Investigate with full context

Every device event is logged inside Unit21 case management. Analysts can review raw signals, linked activity, and enriched account data, accelerating investigations and reducing fraud losses.

What Makes Unit21 Device Intelligence Different

Device intelligence that’s built in, not bolted on

Most fraud stacks are fragmented. Device fingerprinting lives in one system. Transaction monitoring lives in another. AML workflows sit somewhere else entirely. The result? Risk signals don’t talk to each other and enforcement happens too late. Unit21 changes that. Device Intelligence isn’t a separate vendor or a disconnected score. It’s embedded directly into your rules engine, case management, and fraud decisioning workflows.

Device Intelligence Use Cases

Stop high-risk devices before they become high-risk accounts

Fraud doesn’t start with transactions; it starts with the device. By analyzing device behavior at key moments, such as sign-up, login, and payment attempts, Unit21 helps teams detect threats earlier in the fraud lifecycle. Device intelligence surfaces the signals behind account takeovers, synthetic identities, mule networks, bots, and suspicious account reactivations, allowing you to block, challenge, or investigate activity before fraud operations can scale.

Account takeover

Detect compromised accounts the moment behavior changes. When a trusted account suddenly logs in from a high-risk device or suspicious network, you know immediately.

High-risk signup & synthetic identity detection

Your first risk signal before transaction history exists. When there’s no account behavior yet, device intelligence becomes your strongest control.

Rapid-fire & velocity-based fraud

Shut down bots and drain attacks in seconds. Detect abnormal transaction frequency, structuring behavior, and rapid-value spikes as they happen.

Mule account & fraud ring detection

Expose hidden connections across accounts. Fraudsters reuse infrastructure. Device intelligence surfaces those connections instantly.

Bot detection

Stop automation before it becomes fraud. Bots don’t behave like humans. Your platform should know the difference instantly.

Dormant account reactivation risk

Detect when an inactive account wakes up on a risky device. Dormant accounts are prime takeover targets.

See Us In Action

Boost fraud prevention & AML compliance

Fraud can’t be guesswork. Invest in a platform that puts you back in control.