Best User and Entity Behavior Analytics (UEBA) Software for GitHub

ActivTrak helps enterprises drive operational efficiency through AI-powered workforce intelligence. Its award-winning platform transforms work activity data into actionable insights for workforce management, workforce productivity and workforce planning — enabling measurable ROI and stronger business outcomes. More than 9,500 organizations trust ActivTrak's technology, recognized by Deloitte's Technology Fast 500, Inc. 5000, TrustRadius, and G2. Backed by Sapphire Ventures and Elsewhere Partners, ActivTrak leads the way in privacy-first workforce data that fuels the future of intelligent work.

Reveal Security ITDR detects identity threats in and across SaaS applications and cloud services – post authentication. The solution uses a patented unsupervised machine learning algorithm to continuously monitor and validate the behavior of human and machine identities to quickly and accurately alert on suspicious activity. Organizations can protect against account takeover attacks, insider threats, and third party/supply chain risk, after the point of login, without the need for creating rules which are noisy, expensive and also require you to know what you are looking for.

Acceptto monitors user behavior, transactions, and application activity to create an enriched user profile within each application landscape and subsequently verify if access attempts are legitimate or a threat. No passwords or tokens are required. Acceptto’s risk engine calculates whether an access attempt is legitimate or not by tracking user and device posture pre-authentication, during authentication, and post-authorization. We deliver a continuous, step-up authentication process with real-time threat analytics in an age when identities are persistently under attack. 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 enterprise security.

Rezonate detects and auto-remediates access configurations, risky activities, and weak security practices from build time to real-time, across your identity providers and IaaS for a complete identity risk reduction. Rezonate continuously synthesizes the data all your cloud applications, resources as well as your human and machine identities. The single, identity storyline it provides gives you a panoramic view of all your identity and access risk. Rezonate’s Identity Storyline goes beyond traditional overloaded graph views to tell you the story behind each identity, exposure and threat, so you can confidently pinpoint, prioritize and act to eliminate access risks. For every risk detected, exposure or an active threat, Identity Storyline tells how it came to be and what havoc it might wreak. Go beyond periodic configuration scans and unlock real-time view of every change and every activity across your cloud identity attack surface.