Device Intelligence
and Behavior
Anomaly
Catch the Advanced Fraud that Verification Alone Can’t
• Solution Sheet
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Trulioo — Solution Sheet
Device Intelligence and Behavior Anomaly evaluates
320+ device and behavioral attributes per session
320+
AI and bots have made fraud cheap and scalable.
Sophisticated synthetic identities, deepfakes and bot-driven
attacks are no longer edge cases, but the norm.
At onboarding, identity verification can be manipulated,
and after onboarding, verified accounts get taken over
using stolen credentials and session hijacking.
Device Intelligence and Behavior Anomaly adds a layer
of device and behavioral signals to your onboarding
flow, before verification runs. It evaluates 320+
attributes per session, flags high-risk activity and
returns a risk score with explanatory reason codes.
The same signals run continuously after onboarding.
Every user has a unique fingerprint and behavioral
baseline, and any deviation is flagged to catch account
takeovers before they happen.
Fighting AI takes AI. Trulioo binds device intelligence,
behavior anomaly and identity fingerprinting into one
multi-signal defense built for today’s rapidly evolving
fraud threats.
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Trulioo — Solution Sheet
Why Choose Trulioo for Device
and Behavior Risk?
Stop synthetic identities and synthetic business
operators that pass current document checks
Catch device farms, emulators and fraud rings
across consumer and business accounts
Detect bots, scripted attacks and account takeover
(ATO) before fraud loss occurs
Obtain multiple high-fidelity risk signals to
triangulate and mitigate advanced AI attacks
Explain every decision with clear, auditable
reason codes
Fraud Prevention Across the Customer Lifecycle
At Onboarding
Verification Fraud
Bots, Deepfakes, Synthetic IDs and Fraud Rings
Traditional verification sees a valid document,
but it cannot see the emulator behind the VPN,
the ten linked signups or the script filling out the
form. Device Intelligence combats this with device
graphing, integrity checks and persistent device
fingerprints, catching fraud before money is spent
on verification.
Throughout the Lifecycle
Account Takeovers
Phishing, Social Engineering and Remote
Access Scams
Verified accounts are the highest-value target a
fraudster has, where credentials get stuffed, phished
or extracted through screen-sharing scams where the
victim hands over the session in real time.
Behavior Anomaly with device fingerprinting scores
every customer interaction after onboarding, flagging
new devices, behavioral drift from baseline and
remote-access tools running in the background,
preventing fraud before it occurs.
Trulioo is the AI-connected risk intelligence platform for fraud and
financial crime, trusted by global enterprises to verify identities,
prevent fraud and manage business risk. Trulioo combines
proprietary technology with regional expertise to deliver verification
and risk decisions on one platform, in any market globally.
Contact us
Trulioo is a registered trademark of Trulioo Information Services Inc. in the United States, the European
Union, Canada and other countries.
Part of a Unified Fraud Defense
Solution from Trulioo
Device Intelligence and Behavior Anomaly is the ideal
complement to Person Fraud from Trulioo, which
evaluates a person’s digital identity signals such as
phone, IP and address.
Person Fraud reveals whether the identity attributes
themselves are trustworthy. Device Intelligence
reveals whether the environment behind the session
is trustworthy. Behavior Anomaly reveals whether the
user is behaving the way the real account holder should.
Combined, the three layers cover the identity, the
environment and the human in a single decision, with a
shared platform, a shared audit trail and a shared set
of reason codes.
Built for Global Enterprise Fraud Teams
• Integrates with your existing decisioning engine
• SDK across Web, iOS and Android, plus a REST API
• Built to support AML and GDPR compliance
requirements
The Signals Behind the Scores
Hundreds of granular signals, combined with
reason codes, help fraud teams approve more good
customers, route fewer to manual review and trigger
step-up authentication only when the signals warrant it.
Device Signals
What the Environment Reveals
Behavioral Signals
What the User Reveals
Persistent Fingerprint
Survives resets, incognito and spoofing attempts
User Similarity Scoring
Per-user baseline trained over 5 sessions
Device Integrity
Emulator, rooted/jailbroken, app tampering, hooking
Network
VPN, TOR, proxy, IP reputation, residential vs. commercial
Location
Mocked GPS, IP vs. GPS mismatch (impossible travel)
Remote Access
Screen-share, remote session
Bot Detection
0 to 100 score for automated and scripted sessions
Input Patterns
Autofill, copy-paste, field-focus activity
Swipe Activity
Unusual swipe input on mobile login screens
Session Signals
Duration, background-app toggling