Stop the fake identity before the account ever opens.
Score every session on the signals the system already sees and return an explainable action in milliseconds, so a fake fails before an analyst opens the case.
Score every session for device and behavioral risk
Check email, phone, and IP at capture
Link accounts and devices in one identity graph
Decide in milliseconds with reason codes attached
SIGNAL HUB
Read every signal domain on every identity at once.
Stack the signals so a fake identity fails the moment one domain contradicts another.
Score device and behavioral signals
Spot the bot, the emulator, and the coerced user from device and behavioural signals on every session.
Read the digital footprint
Spot the identity built last week from email age, phone risk, and IP signal.
Map the identity graph
Surface the ring from shared devices, recycled phones, and common payout accounts.
Catch every identity attack document checks miss.
Surface synthetic identities built from real fragments.
Spot the new email, the prepaid phone, and the fresh credit file that leave no real digital footprint, and flag the fabrication before approval runs.
Stack email age, phone risk, data-broker linkage, and first-session behaviour into a synthetic score the Risk Engine acts on in real time.
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Block deepfakes and injection attacks at capture.
Catch a virtual camera, an emulator, a face swap, or a real-time GPU render at the session-integrity layer, before the liveness check ever runs.
Combine camera authenticity, session-integrity signals, and hardware anomaly detection to stop presentation and injection attacks at the point of capture.
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Flag impersonation and stolen-credential reuse.
Catch a leaked credential reused across a device cluster, and flag any name or identifier that contradicts its surrounding footprint.
Feed credential-breach signals, multi-account velocity, and identity-to-footprint mismatch into a decision in under 100ms, with the reason code attached.
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Pause the scam while the session is live.
Spot remote-access tools running in the session, long typing pauses, or repeated changes to a payment amount, and hold the session before the funds leave.
Combine RAT detection, coercion behaviour signals, and payment-in-progress orchestration so the Risk Engine pauses, steps up, or blocks in real time.
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OUTCOMES
Approve more real users and catch more fakes.
Score every application for synthetic identity
Stack device, footprint, and graph signals into a synthetic score before the first decision runs, with reason codes attached to every outcome.
Book a Demo→Catch account takeover across every session
Re-score the account on every login and high-risk action with fresh session and behavioural signals, so a takeover never gets a free pass.
Book a Demo→Approve more real users
Let footprint age and identity linkage separate real applicants from risky ones, so the friction reaches only the sessions that earn it.
Book a Demo→LIFECYCLE COVERAGE
Score identity at every lifecycle moment.
Account Opening
Run the full signal stack on every new application, so synthetic identities and injection attacks never reach the approval queue.
Login & Authentication
Re-score device and behavioural signals against the enrolled user on every session, and flag a takeover before the dashboard loads.
In-Session Activity
Watch every live session for remote-access tools, coercion patterns, and unusual navigation, and step in before a payment request ever lands.
Step-Up Challenge
Match the challenge to the risk tier on the file, so liveness, knowledge-based auth, or device binding only fires when the signal demands it.
Payment & Payout
Hold any high-risk money movement, new beneficiary, or first-time payout until the identity re-check clears.
Profile Changes
Run identity-continuity checks the moment a customer changes an email, a phone, or a payout method, since attacker tooling updates contact details before moving the money.
Continuous Monitoring
Update the identity risk score on every session, login, and profile change, so the model stays in line with the customer's real-world state.
Event-Driven Re-Review
Trigger a re-assessment on the account within minutes of a consortium hit, a credential breach alert, or a data-broker update.
COVERAGE
Map every threat to a signal that catches it.
Every signal here runs on OneLattice today.
Identity Threats
- Synthetic identities
- Account takeover
- Stolen credentials
- Impersonation
- First-party identity fraud
- Identity mules
Attack Vectors
- Deepfakes and face swaps
- Injection attacks
- Emulators and virtual machines
- Remote-access tools
- Credential stuffing
- Bot account opening
Signals & Mechanisms
- Device fingerprint
- Behavioral biometrics
- Email and phone intelligence
- Proxy and VPN detection
- Identity graph and linkage
- Velocity and multi-accounting
Agents on this workflow.
OneLattice's purpose-built agents that handle this work end-to-end.
Triage Agent
Works the identity queue end to end and learns from every analyst disposition.
Investigator Agent
Builds the identity-fraud case before the investigator opens it and recommends the next action.
Pattern Analyst
Catches novel identity-fraud patterns hiding in your data before any rule library does.
Decision Narrator
Writes the reason behind every identity decision in plain language a regulator can read.
PLATFORM
Take the same identity stack across the rest of the customer lifecycle.
One platform from signup through investigation.
New Account Fraud Prevention
Block the fraudulent application before the account ever opens.
Learn more →Customer Risk Assessment
Tier every customer at intake and re-score the moment signals shift.
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