Device Intelligence

Turn Device Signals into
Smarter Fraud Decisions

With a persistent Universal ID, it proactively identifies frauds such as account takeover attempts, mule activity, and jailbreaking cutting false positives while keeping genuine customers’ access seamless.

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Features

Turn every device interaction into intelligence

Identify a device’s identity, configuration, and network context the moment it turns suspicious, so high‑risk activity can be stopped before it turns into fraud losses.

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Persistent Universal ID

Generates a persistent fingerprint for every device from 30+ hardware, software, network, and behavioral signals. It stays stable even after app reinstalls, OS updates, IP changes, or basic factory resets, and resists common spoofing attempts.

Fraud Network Detection

Maps connections between devices, accounts, and IPs to uncover coordinated rings and mule networks using shared attributes, outlier scores, and network clustering.


Multi-Layer Device Profiling

Combines device attributes with IP reputation and geo‑intelligence to distinguish trusted environments from risky ones.

Real-Time Risk Engine

Scores every login and registration in milliseconds by combining device signals, behavioral biometrics, and threat intelligence for decisioning.

Rule-Based Automation

Triggers instant Approve/Review/Reject actions blocking high-risk devices and flagging accounts based on 100+ pre-built rules.

Smart allow and deny lists

Applies granular blacklists/whitelists so known bad devices and IPs are stopped at the source while trusted entities bypass unnecessary checks.

Case Workflow Management

Provides a centralized dashboard with automated prioritization, 360° customer views, and compliance-ready reporting for streamlined investigations.

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Benefits

Change the Way You Fight Fraud

FOCAL Device Intelligence continuously fingerprints every device into a persistent Universal ID and scores its network context, exposing hidden device‑based fraud while keeping trusted users access fast and low‑friction.

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Reduced fraud losses
Prevent fraud before it impacts your bottom line. By blocking high-risk devices and stopping abuse early, FOCAL preserves revenue while enabling confident business growth.
Proactive fraud detection
Uses ML‑driven anomaly and threat intelligence across device and network signals to surface emerging attack patterns and risky sessions that traditional rule‑based tools fail to catch.
Protect Customer Trust1
Stop risky devices from moving through the digital journey, reducing ATO and scam flows while keeping accounts for legitimate users only.

Enable frictionless journeys
Recognize trusted devices instantly so genuine users enjoy smooth logins and in‑app experiences while only risky devices face friction.

Reduce fraud costs
Cut manual reviews and investigation time by using device‑level Universal IDs, risk scores, and automation to focus teams on the highest‑impact alerts.
Faster investigations and audits
Centralizes device‑level alerts, evidence, and risk markers in one place, supporting quicker investigations, clearer case narratives, and audit‑ready reporting.
Fraud We Prevent

How can FOCAL Help Your Organization

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Account Takeover Prevention
Use advanced device fingerprinting and Universal ID to recognize unknown or risky devices at login, so account takeover attempts are blocked before they reach sensitive actions.
Money Mule Detection
Build persistent mule profiles with Universal ID by linking repeat logins, device clusters, and risky device histories, helping you surface hidden mule networks behind seemingly unrelated accounts.
Rooted and Jailbroken Device Control
Continuously detect rooted, jailbroken, and tampered devices, bind them to a Universal ID, and automatically restrict logins, registrations, and payouts from these high‑risk environments.
Device Emulation and Spoofing Detection
Use Universal ID and deep device fingerprinting to identify emulators and spoofed device attributes, shutting down synthetic device farms used for fake signups, credential testing, and promo abuse.
Multi-Account Abuse Prevention
Use persistent Universal IDs to link multiple accounts controlled from the same underlying devices or device clusters, exposing duplicate profiles and bonus‑abuse rings even when IPs or cookies change.
Promo and Coupon Abuse Prevention
Link signups, redemptions, and refunds to a Universal ID so devices that repeatedly farm welcome offers and discount codes are detected early and blocked from claiming promotions again.
Related Products

Discover our complementary products to FOCAL Device Intelligence

Behavioral Biometrics
FOCAL Behavioral Intelligence is a behavior‑driven fraud defense layer that profiles how each user truly interacts across the digital journey, from login to high‑risk in‑app actions. By combining continuous behavioral biometrics for real‑time risk profiling such as typing speed, mouse movements, and scroll patterns, with in‑app events, it surfaces emerging fraud early. This helps reduce false positives and supports seamless customer decisions.
Learn more
Transaction Fraud
FOCAL Transaction fraud applies AI‑driven risk scoring to every payment, transfer, wallet movement, and card authorization, giving fraud teams real‑time control over transaction‑level risk.
Learn more
Transaction Monitoring
Monitor every transaction and safeguard your operations against money laundering risk. FOCAL’s advanced platform combines ML models, dynamic rules engine, and built-in Agentic AI for comprehensive transaction monitoring.
Learn more
Customer Screening
Reduce compliance friction with FOCAL’s patented Arabic-first AI designed to match complex Arabic names while accurately supporting Latin scripts. Screen customers against sanctions PEP and adverse media with precision.
Learn more
FAQ’s

Frequently Asked Questions

  • How is Device Intelligence different from traditional device ID or cookies?

    Traditional methods rely on unstable identifiers like cookies or single headers, which are easy to reset or spoof. Device Intelligence combines dozens of hardware, software, and network signals into a persistent Universal ID, then continuously validates it against behavior patterns, making it far harder for fraudsters to evade.

  • Can Device Intelligence identify the same fraudster across multiple accounts?

    Yes. By linking the Universal ID to accounts, phone numbers, and other identifiers over time, the system can reveal when one device is controlling many accounts or when multiple “different” devices share suspicious commonalities, helping uncover multi‑account abuse and mule clusters.

  • Which fraud scenarios does Device Intelligence help prevent?

    It targets account takeover, fake and multi‑account creation, promo abuse, account sharing, and other device‑driven fraud patterns by exposing the true device behind each session and linking it to historical activity and related accounts.

  • Will Device Intelligence add friction for genuine users?

    No. The SDKs run silently in the background, and most users experience no additional steps, because trusted devices are recognized through their Universal ID and low‑risk profiles. Risk is assessed in milliseconds, and only high‑risk devices or behaviors trigger step‑up checks, review, or blocks, keeping trusted customers’ journeys fast and smooth.

  • How does Device Intelligence work with our existing fraud tools?

    It exposes device risk scores, Universal IDs, and key indicators via APIs, so you can feed them into existing decision engines, authentication flows, and case management systems, or consume them natively inside FOCAL’s fraud suite.

  • Is Device Intelligence compliant with data protection and privacy regulations?

    Yes. Device Intelligence focuses on technical and behavioral signals rather than sensitive content, and can be deployed with data minimization, regional data residency, and configurable retention to align with frameworks like GDPR and local GCC privacy rules.

    • See Every Risky Device Before Fraud Happens

    Explore how FOCAL Device Intelligence fingerprints every device, uncovers emulators and hidden connections, and gives fraud teams real‑time risk scores so they can stop high‑risk sessions without slowing trusted customers.

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