Passive, “always on” authentication
Behavioral Authentication analyzes end user activity from login to logout, consistently looking at unique behaviors that allow verified end users access through their natural behavior, so the experience is seamless and unencumbered.
This constant authentication provides businesses a valuable layered security capability allowing trusted users instant access and completion of transactions while presenting higher risk users with additional or “stepped up” authentication measures, such as a fingerprint scan or face recognition.
How it works
Behavioral Authentication focuses on the “How” a user types and interacts with their device as opposed to the “What” they type. It does this by constantly monitoring and analyzing keystrokes, mouse movements, finger pressure, swipe patterns and more, comparing this activity with a unique user model to score a match. A low score, reflecting significant changes in the user behavior, serves as a red flag that some security policy action may be required. Strong security in three simple steps:
1) Input Data: The behavioral Authentication solution is fed a constant stream of all common user behavior data including - mouse movements, key strokes, swipe patterns and more.
2) Analyze Data: In a short time, the platform is able to create an accurate behavioral model of each unique user.
3) Score Data: On a continuous basis, DIGIPASS for Apps Behavioral Authentication compares the current behavior with the known user model to determine a “trust score.” This score is used to flag potential fraud and drive some security policy action. It can also be consumed within a Risk Management platform to improve the accuracy for fraud detection.
Intelligent, accurate and adaptive
DIGIPASS for Apps Behavioral Authentication stays up to date with user behaviors through continuous machine learning and session-based intelligence. The Behavioral Authentication algorithm is continually refreshed to ensure the absolute fewest false positives and it gets smarter over time, constructing the most accurate picture of each user’s behavior with each new data point collected.
DIGIPASS for Apps Behavioral authentication also helps distinguish human from non-human behavior. For example, bots have very predictable and unique patterns when it comes to key flight and keypress enabling quick detection of these non-human interactions.
DIGIPASS for Apps
DIGIPASS for Apps Behavioral Authentication is available as an optional feature in DIGIPASS for Apps. DIGIPASS for Apps provides a comprehensive feature set that natively integrates application security, multi-factor authentication, multi-modal biometrics and electronic signing into your mobile applications. DIGIPASS for Apps elevates trust across secured ecosystems, so you can securely deliver higher value mobile services, improve mobile user experience, and extend consistency for security and the user across multiple channels.