A security technology that analyzes patterns in human activity to verify identity.
Description
Behavioral biometrics is a cybersecurity technique that uses unique patterns in a user's behavior to authenticate their identity. Unlike traditional biometrics, such as fingerprints or facial recognition, which focus on physical characteristics, behavioral biometrics monitors how users interact with devices and applications. This can include analyzing typing speed, mouse movements, touch gestures, and even navigation patterns on websites or apps. By creating a behavioral profile of a legitimate user, systems can detect anomalies that may indicate fraudulent activity or unauthorized access. For example, if a user typically types at a certain speed but suddenly types much faster, this could signal a potential security threat. This method enhances security by providing continuous authentication, allowing systems to adapt and respond to suspicious behavior in real-time, thus reducing the risk of breaches. Behavioral biometrics is becoming increasingly important as cyber threats evolve and organizations seek more reliable ways to protect sensitive data.
Examples
- PayPal uses behavioral biometrics to monitor transaction patterns and user behavior to detect fraud.
- Auth0 implements behavioral biometrics to continuously verify user identity during sessions, enhancing security for applications.
Additional Information
- Behavioral biometrics can work in tandem with traditional security measures like passwords and two-factor authentication.
- This technology is particularly useful in industries such as banking and healthcare, where protecting sensitive information is crucial.
References
- [What are Behavioral biometrics? Advancing Cybersecurity Tactics](https://cyberpedia.reasonlabs.com/EN/behavioral biometrics.html)
- The role of behavioral biometrics in a world of growing cyberthreats
- What Is Behavioral Biometrics? | BioCatch