Everything Identra shipped in H1, in one place.
Passive Signals

Detect more fraud with passive signals. Collect behavioral, device, and network signals to catch more bad actors without adding friction.

Equip your organization with real-time telemetries that stream silently in the background of your existing identity flows to identify and isolate threat vectors before they execute.

1

Catch fraud in real time

Silently collect behavioral and device signals and automatically deny fraudsters or add friction for users with risky signals.

2

Easily detect repeat fraudsters

Automatically compare devices, IP addresses, and users to catch and block repeat bad actors and coordinated fraud rings.

3

Enrich profiles in background

Get more signals and build holistic user risk profiles to inform decisions during the customer life cycle.

Process Overview

How it works

Collect and integrate any signal

Passive signals are automatically collected as users go through their flow. Integrate third-party signals to further enrich your understanding of users.

Dynamic Telemetry Active
Verification Frame

Verify your identity

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Live Signal Stream

Device OS

macOS 14.5 (Apple Silicon)

IP Address

185.220.101.4 (VPN proxy detected)

Network Connection

Wireless/Cellular

Status: SILENT CAPTUREv1.2.0

Orchestrated Decisions

Streamline and improve fraud decisioning accuracy

Build rich fraud rules that use both verification checks and passive signals for a more complete picture of fraud risk. Run decisions natively in Identra or integrate with your own platform.

Screen for fraud risk
Rule editor
Conditional
ifshortcut usageishigh risk
anddevice fingerprintishigh risk
andgeolocation spoofishigh risk

Continue if

no triggers

🚩

Flag for

review

Key Features

Automatically collect a variety of passive signals

Stream a comprehensive portfolio of risk assessment inputs in the background without affecting your customer experience. Build robust multi-signal profiles.

Monitor how users interact with your identity verification flow and detect unusual behavioral patterns.

Key metrics tracked:

  • ✓Hesitation or distraction events (focus lost, timing anomalies)
  • ✓Time to completion (sub-second robotic completion vs. natural flow)
  • ✓Suspicious submission metadata (clipboard pasting of critical fields)
  • ✓Device orientation and tremor anomalies indicating bot emulation
Behavioral telemetry

Mouse movement linearity: 14%

Lower linearity suggests natural human trajectories; perfectly straight lines indicate automated script replay attacks.

Analyze IP address reputation, VPN usage, proxy connections, ISP changes, and geodistances to detect anomalies.

Key metrics tracked:

  • ✓Proxy & VPN detection (residential proxy mapping)
  • ✓Autonomous System Number (ASN) classification
  • ✓IP velocity checks across concurrent attempts
  • ✓Geodistance anomalies (travel speeds physically impossible)
Network fingerprinting

IP Reputation Class: Low Trust

Identified as a public egress node of a commercial VPN service frequently tied to repeated billing fraud vectors.

Inspect operating system specs, browser configuration, hardware fingerprints, emulator detection, and rooted/jailbroken devices.

Key metrics tracked:

  • ✓Canvas and WebGL identity hashing
  • ✓System language and keyboard layout mismatches
  • ✓Rooted, jailbroken, or virtualized hardware signatures
  • ✓Multi-accounting & session linking across browser scopes
Device forensic payload

Browser entropy score: 18.2 bits

Extremely unique browser configuration flags shared with only 1 in 300,000 global profiles.

Spot larger fraud trends by detecting device sharing, repeated credential reuse, and velocity spikes across your system.

Key metrics tracked:

  • ✓Device sharing frequencies across independent accounts
  • ✓Repeated credential velocity spikes within minutes
  • ✓Link analysis indicating coordinate ring behavior
  • ✓Shared biometric hash matching across unrelated documents
Network Graph Overlays

Connected Hub Weight: 8.4

This hardware profile is linked to 9 distinct verification attempts with different names in the last 48 hours.

Examine photo metadata, canvas manipulation, image duplicate detection, and camera-level spoofing cues.

Key metrics tracked:

  • ✓EXIF metadata parsing and manipulation markers
  • ✓Synthetic image / generative-AI injector traces
  • ✓Cross-tenant image duplication queries
  • ✓Camera lens/hardware parameter validation
Metadata and Duplicates

Metadata mismatch detected

Document image claims to be a fresh phone camera shot but lacks real lens focal lengths, pointing to synthetic creation.

Enterprise Workflows

How teams can use passive signals

Harness multi-layered background telemetries to build granular defense systems across all operational touchpoints.

Adjust friction in real time

Add additional checks for users logging in via a VPN. Automatically spin up lightweight document verifications when critical fields are bypassed.

Prevent account takeovers

Automatically route users to manual review if a detected IP address is located some distance (e.g. 60 miles) from the address on their license.

Detect duplicate or linked accounts

Proactively block users whose device signatures, visual metadata, or canvas-fingerprints link back directly to previously blacklisted accounts.

Automate routing to manual review

Investigate cases with high-threat risk scores instead of automatically accepting or declining them. Minimize review backlog while catching complex attacks.

"With Identra, we can check government IDs and selfie liveness in real time to make sure users are the right age and cross-reference multiple risk signals to help us figure out whether to approve or decline users."

JJ Foster, Trust and safety manager at Coffee Meets Bagel

CoffeeMeetsBagel

Coffee Meets Bagel builds trust and safety and verifies users 99.9% faster with Identra's automated & user-friendly identity platform.

Identra Marketplace

Integrate signals with Identra Marketplace

With Identra Marketplace, you can integrate signals from top data platforms into your risk analysis processes to make better decisions and streamline operations. Incorporate third-party credit scores, device reputations, or synthetic logs seamlessly.

MX

Partner

Equifax

Partner

SentiLink

Partner

LexisNexis

Partner

TransUnion

Partner

Plaid

Partner

Alloy

Partner

Identra

Core

Experian

Partner

Explore more of Identra's identity platform

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