SecureAuth Awarded New Patents for Identity Proofing

Continuous Authentication Technology with Real-Time Threat Analytics and Risk Scores

Arculix’s risk engine is the heart of our technology platform – and with 47 patents – is the strongest and most comprehensive engine.

Leveraging AI / ML, Arculix monitors hundreds of variables to calculate whether an access attempt is legitimate or not by tracking user and device posture pre-authentication, during authentication and post-authorization.

Arculix Analytics Dashboard
Arculix Risk Engine

Calculate the Level of Assurance for Each Transaction

Level of Assurance used with intelligent multi-factor authentication decides whether to increase or decrease the friction for the user.

Re-Authentication: Avoiding MFA Fatigue

Leverage behavioral analytics and environmental context to simplify policies. Security authenticators define normal behavioral patterns for the user so fewer threat checks need to be defined.

After initial authentication, these measures will be used on a continuous basis to reevaluate the user’s behavior to determine if there has been enough change to warrant a re-authentication request.

Behavior Modeling

Re-Authentication When Users Engages in Higher-Risk Activities

Workforce Identity

An employee could be called upon to reauthenticate if something changes in their behavior (i.e., they suddenly leave the building with their phone, laptop or other personal devices).

Customer Identity

A customer can shop online all day but must authenticate their identity once they purchase any of the items in their shopping cart.

Analytics Drive Better Security and Identity Protection

Machine Learning Risk Engine

Use machine learning powered technology to assess user login risk and user profile risk from built-in and external signaling services.

Extensible 3rd party Signaling

Connect to your existing threat intelligence solutions such as PAM, SIEM, IGA, and UEBA to enhance risk analysis and improve your security posture with even stronger risk scoring.

Contextual and Behavioral Signals

Continuously feeds dozens of contextual and behavioral signals such as user location, user device, login velocity, browsers, cell phone network or ISP into the user profile engine to maintain an accurate user behavior profile.

Dynamic Risk Score

Based on a risk score computed by our proprietary AI/ML algorithms, a dynamic level of assurance (LoA) is computed.

Our approach automatically finds the optimal policy for each transaction to maximize security while minimizing friction for the user with machine learning and AI analytics.

This provides a smoother user experience without sacrificing secure authentication.

Arculix Risk Scoring

State of Authentication Report 2023

Survey results from 285 IT & Security professionals on the latest MFA, passwordless, and device trust trends

2023 State of Authentication Report

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