• SensifyID

    Privacy Enhanced Behavioral Biometrics
    Powered by Decentralized AI

Next generation continuous identity proofing

Zighra’s SensifyID delivers rapid, real-time behavioral intelligence and powerful security controls to validate the right device, right user and right bio-behaviors to secure the transaction.

The platform proactively gathers sensor, behavioral, and environmental intelligence to quickly build high fidelity, on-device user models that enable continuous proof of presence and powerful analytics to detect anomalous behaviors. Any deviation is flagged immediately to inform user access decisions.

Key Features

Continuous, invisible security & frictionless user experience with SensifyID that creates a unique behavioral profile with every task.

Task-based Authentication

Users are asked to perform a specific action as an authenticator to determine whether the user or a bot is trying to use the device, such as holding the phone and swiping across the screen.

Sensor Fingerprinting

SensifyID uses rich sensor and contextual information to quickly and reliably identify the device involved in the transaction.

Real-time Intelligence

From the unique way the user types, swipes and taps, to the hand they prefer to hold their device in, SensifyID builds a unique, real-time behavioral model for the user.

Proof of Presence

SensifyID combines the strength of AI, behavioral biometrics, sensor analytics and network intelligence to actively authenticate the identity of the on-device user.

Transaction Risk Assessment

SensifyID uses the power of machine learning and behavioral biometrics to ensure the security of the user and device when making a transaction through a mobile app.

The most comprehensive AI-powered authentication and threat detection

SensifyID is built on Zighra’s proprietary AI and machine learning algorithms, which quickly learn from the user and continue learning in about 15 interactions. Compared to traditional AI algorithms that take thousands of interactions to learn and months of training, this technology is a significant step forward for mobile and other sensor-based devices that have small footprints.

Detect anomalous behaviors to inform access decisions. See SensifyID in action.