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Zighra SilentEdge
Continuous AI-driven behavioral biometric authentication platform.

Zighra SilentEdge Description
Zighra SilentEdge is a continuous authentication platform that uses AI, behavioral biometrics, sensor analytics, and environmental intelligence to verify user identities on an ongoing basis without relying on passwords. The platform builds a unique behavioral model for each user by analyzing how they interact with their devices — including typing patterns, swipe gestures, tap behavior, and the hand used to hold the device. This model is used to continuously verify that the person using a device is the legitimate user, down to the second. Core capabilities include: - Behavioral Biometrics: Captures interaction patterns (clicks, swipes, taps) to create a unique digital signature per user. - Task-based Authentication: Prompts users to perform specific physical actions to distinguish humans from bots. - Transaction Risk Assessment: Uses machine learning and behavioral data to evaluate the risk level of individual transactions. - Proof of Presence: Combines AI, sensor analytics, and network intelligence to actively confirm the identity of the on-device user. - User-Device Fingerprinting: Uses sensor and contextual data to identify the specific device involved in a transaction. - Adaptive Intelligence: Combines soft and hard biometric factors to enable a passwordless authentication experience. The solution is FIDO certified and executes machine learning algorithms locally on sensor-based devices, which the company states is intended to protect user privacy. It is designed to protect against remote attacks, phishing, and credential-based threat vectors for both consumer and workforce use cases.
Zighra SilentEdge FAQ
Common questions about Zighra SilentEdge including features, pricing, alternatives, and user reviews.
Zighra SilentEdge is Continuous AI-driven behavioral biometric authentication platform. developed by Zighra. It is a IAM solution designed to help security teams with Authentication, MFA, Anomaly Detection.