Behavioural Trust Signals
Product overview
Behavioural Trust Signals assesses device and interaction data to identify signs of manipulation or automated activity during Identity Verification. It provides an additional layer of protection against attacks such as deepfakes and video injection.
Signal collection takes place during the existing Identity Verification workflow and does not add verification steps for the client.
Overview
Deepfakes and video injection attacks can present convincing media without a live person participating in the capture process. Assessing the document or selfie alone may not reveal how the media was captured or submitted.
Behavioural Trust Signals adds context about the device environment and the client’s interactions during verification. This helps identify sessions that show signs of automation or manipulation.
Device signals and verification layers
How it works
During Identity Verification, Behavioural Trust Signals collects and analyses device and interaction signals to identify patterns associated with genuine client behaviour, automation, or manipulation.
Behavioural Trust Signals operates as an additional layer in Fourthline’s cascading, multi-model detection system, alongside:
- Document Liveness
- Selfie Liveness
- Fraud Detection
These layers assess different aspects of the identity verification session. Behavioural Trust Signals complements the document and selfie checks with device and behavioural context.
Verification Check
Fourthline performs the following check:
| Check | Description |
|---|---|
| User behaviour genuine | Assesses device and interaction signals to identify whether a verification session shows indicators of genuine user behaviour or signs of automation or manipulation. |
Attack types
Behavioural Trust Signals targets the following attack types:
| Attack type | Description |
|---|---|
| Deepfakes | AI-generated or manipulated media designed to imitate a live person. |
| Video injection | Pre-recorded, synthetic, or manipulated video inserted into the capture workflow instead of footage captured from a live camera. |
| Replay attacks | Previously captured images or videos reused during a new verification session. |
| Automation and bots | Scripted activity that mimics a client completing verification. |
| Manipulated device environments | Changes to the device environment that may indicate interference with verification. |
Collected signals
Behavioural Trust Signals collects more than 300 signals across 10 signal types:
- Environment signals
- Device location
- Cellular data
- VPN and network usage
- Hardware
- Screen properties
- Battery level and charging state
- Locale
- System uptime
- Motion, including gyroscope, accelerometer and rotation
The signals provide context for assessing session authenticity, and collection takes place during the existing verification workflow.
Detection performance
In Fourthline testing, Behavioural Trust Signals detected more than 75% of known deepfake and video injection attack cases.
Early results also show incremental detection of tampered-media fraud. Once fully operational, this layer is expected to detect approximately 5% more tampered-media cases than before.
Note
The 5% improvement is a projection based on early results, rather than a confirmed production result.
FAQ
What does Behavioural Trust Signals assess?
Behavioural Trust Signals assesses device and interaction data collected during Identity Verification to identify signs of automation or manipulation.
Are there any SDK requirements or minimum versions?
There is no minimum SDK version required. We recommend using the latest SDK version. Behavioural Trust Signals is enabled by Fourthline through a configuration change and does not require additional integration.
Is Behavioural Trust Signals available for all Identity Verification workflows?
Yes. Behavioural Trust Signals is available for all Identity Verification workflows, including authentication, provided that the workflow includes an active SDK biometric capture session, such as selfie, or liveness.
Which attack types does it target?
It targets deepfakes, video injection attacks, replay attacks, automation and bots, and manipulated device environments.
Does it add steps to the verification workflow?
No. Signals are collected passively during verification. The client experience remains unchanged.
Does it replace document or selfie liveness checks?
No. Behavioural Trust Signals is an additional layer in Fourthline’s cascading, multi-model system, alongside Document Liveness, Selfie Liveness and Fraud Detection.
Support
To configure Behavioural Trust Signals, contact your customer success manager.
Updated about 22 hours ago