Behavioral Analytics

By tracking and analyzing user behavior, Securify Identity can identify unusual or suspicious activity that may indicate existence of potential adversaries. This can help financial organizations to detect and prevent fraud, such as attempts to access sensitive financial and personal information without authorization.

Adaptive Access Control

Securify Identity can dynamically adjust the level and type of permitted accesses based on the user's behavior and other contextual factors. For example, if a user's behavior deviates from usual pattern, Securify Identity can require additional evidence of authentication or block whole access until the user's identity is re-confirmed. This can help to prevent unauthorized access and protect sensitive financial data.

Risk-based Authentication

Securify Identity uses sophisticated algorithms and machine learning techniques to assess the risk associated with a user or access request, based on factors such as user's profile, the device being used, the location, and the time of day. If the risk level is high, Securify Identity can ask for additional evidence for authentication or block whole access until the user's identity is re-confirmed. This can help to prevent unauthorized access and protect sensitive financial data.

Comprehensive IAM

Securify Identity offers a range of IAM capabilities, including strong authentication, conditional access, user activity monitoring, single sign-on, multifactor authentication and more. This can help financial organizations to implement robust security controls and manage access to their systems and data in a consistent and effective manner.