Silverfort announces AI risk engine to enable adaptive authentication

Next-generation multi-factor authentication (MFA) technology provider Silverfort has announced the development of an AI-based risk engine for analyzing activities across on-premise and cloud environments to help organizations apply effective authentication policies with dynamically calculated risk scores for users, devices and resources.

The company says its technology addresses the limitations to the risk analysis and adaptive policies multi-factor authentication solutions, which Silverfort says were mostly designed as point solutions for specific systems or asset types. Organizations can use Silverfort’s risk engine to consider authentication at the network level, protecting the wide variety of endpoints, applications, servers, legacy systems, infrastructure, data, cloud resources, and IoT devices they manage.

“Monitoring all authentication activities in one centralized platform allows Silverfort to analyze more data than any other authentication solution — typically hundreds of authentication requests per user per day,” explains Hed Kovetz, CEO and Co-Founder of Silverfort. “This provides a far more accurate risk score and enables adaptive policies that are less disruptive yet more effective.”

The Risk Engine combines anomaly detection, recognition of known malicious patterns, and threat indications from third party security solutions to provide continuous risk analysis for every authentication request, and Silverfort says its agentless architecture and holistic approach enable unparalleled visibility across all systems and environments.

Silverfort also recently published a white paper on adaptive authentication.

Article Topics

access management  |  artificial intelligence  |  biometrics  |  multifactor authentication  |  Silverfort