VERI-ID DEVICE INTELLIGENCE
Know the Device. Trust the Decision
An identity for every device. A trust score for every decision.
DEVICE INTELLIGENCE
Behind Every Fraud Pattern is a Device That Keeps Coming Back
Veri-id turns hardware, network, environment, and behavioral signals into a persistent device identity — helping you understand whether a device is trusted, what it’s connected to, and the risk it carries before approving a transaction.
01
Same device?
Reliably identify device identity, connecting activity across accounts and transactions.
02
Is it trustworthy?
Combine environmental, historical, and behavioral signals into a risk score for decision-making.
03
What's linked to it?
Track the accounts, cards, wallets, and transactions linked to a device to uncover risk networks.
THE BLIND SPOT
Account Rules and Transaction Rules Both Miss the Same Thing
Traditional risk control assesses accounts and transactions one at a time — a login here, a transfer there — using blacklists and static rules. It has no way to see that a “new” account, an “abnormal” transaction, and a “stolen” card are the same operator, on the same device.
TRADITIONAL RISK PERSPECTIVE
Account Data
Device Identity
Account-by-account/transaction-by-transaction assessment
Missing: device perspective
WITH DEVICE INTELLIGENCE
Account Data
Transaction Data
Device Signals
Device identity connects activity across accounts and transactions
Adds: device identity & association signals
01
Card Testing
Automated, high-volume attempts to validate stolen card numbers before using them.
02
Account Takeover
An attacker gains control of a legitimate account to bind new cards, transfer funds, or make payments.
03
Multi-Account Fraud
Coordinated use of multiple accounts for registration abuse, transfers, or arbitrage.
04
Unauthorized Payment
Stolen cards, accounts, or wallets used to complete payments the real owner never authorized.
WHY IT WORKS
The Device is The One Thing Fraud Can't Easily Fake
Treated separately, a risky account, an abnormal transaction, and a stolen card look like three unrelated incidents. Veri-id’s device identification and association analysis reveal whether they trace back to the same device — or the same operating environment.
TREATED AS UNRELATED
Risky Account A
Blacklist rule
Risky Account B
Transaction rule
Risky Account C
Card rule
Traditional rules distinguish between risky accounts, abnormal transactions, and stolen cards, making it easy to overlook the common devices behind the events.
Illustrative example:
Traditional rules distinguish between risky accounts, abnormal transactions, and stolen cards, making it easy to overlook the common devices behind the events.
Observed relationships
Inferred associations
HOW IT WORKS
From Raw Signals to a Trusted Device Identity
Device Identity is not tied to a single identifier. It is built from signals across five categories, continuously standardized and cross-checked — enabling Veri-id Device Intelligence to recognize a device even as individual signals change.
01 · SIGNALS
Collect Device Signals
Continuously gathers characteristics that describe the device behind the activity.
- Device: type, hardware, screen, OS
- Browser: version, language, timezone
- Network: IP, region, ISP, VPN/Tor usage
- Environment: emulator, webdriver
- Behavior: rhythm, access pattern
02 · DEVICE IDENTITY
Create a Unified Identifier
A patented algorithm standardizes multi-dimensional signals to consistently recognize the same device over time, even as individual signals change.
03 · INTELLIGENCE
Assess Device Trust
Historical activity, behavioral signals, and device associations are evaluated to build a dynamic Device Trust Score, reflecting how trustworthy or risky a device is over time.
DEVICE PROFILING
A Living Case File for Every Device
Veri-id continuously builds a picture of how each device is used — by whom, from where, and across which accounts and cards — so unusual changes in behavior stand out.
01
Recognize Familiar Devices
Confirm whether the device is a trusted device used over the long term.
02
Detect Device Changes
Identify first-time appearances, device switches, or environment changes.
03
Identify Abnormal Associations
Detect multiple accounts, multiple cards, or abnormal sharing on one device.
04
Track Risk Progression
Monitor changes in trust score, risk events, and device status over time.
HOW IT FITS
Adds a Device Layer to the Systems you Already Run
Veri-id Device Intelligence isn’t a replacement risk engine. Device intelligence is added to your existing data and fed into your current decisioning stack, which keeps making the final call.
01
EXISTING RISK DATA
Your existing account, transaction, and case history stay exactly as they are — no schema changes, no workflow disruption.
Account data
Transaction data
Risk & case history
02
DEVICE INTELLIGENCE
Captures device and environment fingerprints in real time and converts them into device risk intelligence your decisioning engine can act on.
Device Identity
Device profile
Device trust score
Device-to-account linkage
03
EXISTING FRAUD STACK
Device intelligence plugs directly into what you already run, scored alongside your current signals — no rip-and-replace.
Rules engine
AI risk models
Transaction monitoring
AML monitoring
04
RISK-BASED DECISIONING
Your engine orchestrates the right response based on combined account, transaction, and device risk.
Low risk
Frictionless approval, no added friction
Medium risk
Step-up authentication or route to manual review
High risk
Decline, block, or escalate for investigation
01
Device Trust Assessment
Determines whether the current operation originates from a known, trusted device.
02
Hidden Association Discovery
Uncovers multiple accounts, cards, or abnormal activity tied to the same device.
03
Improved Decision Precision
Combines device risk with account, transaction, model, and rule signals for sharper decisions.
WHERE IT WORKS
Built for The Moments Fraud Actually Happens
The same Device Intelligence layer, providing consistent device context and trust scoring across the three areas where fraud teams face the most pressure.
PAYMENT RISK
Online Card Transaction Fraud
Identify risky devices and uncover hidden connections between devices, cards, and transactions in real time.
ONLINE BANKING
Login & Fund Transfer Fraud
Assess device trust across logins and transfers to surface unusual activity and risky devices.
E-COMMERCE
Order Fraud Monitoring
Add device and account intelligence to identify suspicious orders and hidden connections before fulfilment.
ACCOUNT & CARD BINDING
App Login & Card-Binding Risks
Detects unfamiliar devices, emulators, and account-takeover attempts — stopping stolen cards from ever getting bound to a compromised account.