ID Tech

Behavioral Biometrics

Behavioral biometrics analyzes patterns in user interactions—such as typing rhythm, mouse movement, or touchscreen gestures—to continuously verify identity.

Behavioral biometrics leverages how a user interacts with devices or interfaces rather than physical traits. By monitoring characteristics like keystroke dynamics, touchscreen swipes, or navigation habits, systems can provide continuous and passive authentication. This modality enhances security by detecting anomalies in real-time and can complement physiological biometrics for multifactor authentication.

References

Latest Data Cards

  • Data Card

    MoneyGram Taps Oscilar’s Cognitive Identity Intelligence

    2025-11-07CC-BY-4.0digital-idbehavioral-biometrics

    MoneyGram selected Oscilar’s risk and identity engine to strengthen fraud detection and onboarding decisions, incorporating behavioral signals and ML‑driven orchestration across the customer journey.

    • Combines behavioral signals with identity and risk data
    • Supports KYC/AML decisioning and step‑up flows
    • Designed to reduce false positives while catching fraud
See more data cards

Frequently Asked Questions

What is behavioral biometrics?
Behavioral biometrics analyzes patterns in user interactions, such as typing rhythm, mouse movements, or touchscreen gestures, to verify identity continuously.
How does behavioral biometrics differ from physiological biometrics?
Behavioral biometrics focuses on how users behave, whereas physiological biometrics rely on static physical traits like fingerprints or iris patterns.
Where is behavioral biometrics commonly used?
It is used for continuous authentication, fraud detection, and adaptive security in banking, healthcare, and enterprise environments.
What about privacy and consent?
Deployments should disclose passive monitoring and adhere to privacy laws; many systems process derived features rather than raw inputs to reduce risk.