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

Find and compare the best User and Entity Behavior Analytics (UEBA) software for ThreatAware in 2025

Use the comparison tool below to compare the top User and Entity Behavior Analytics (UEBA) software for ThreatAware on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Cynet All-in-One Cybersecurity Platform Reviews
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    Cynet equips MSPs and MSSPs with a fully managed, all-in-one cybersecurity platform that brings together essential security functions in a single, user-friendly solution. By consolidating these capabilities, Cynet simplifies cybersecurity management, reduces complexity, and lowers costs, eliminating the need for multiple vendors and integrations. With multi-layered breach protection, Cynet delivers robust security for endpoints, networks, and SaaS/Cloud environments, ensuring comprehensive defense against evolving threats. Its advanced automation enhances incident response, enabling swift detection, prevention, and resolution. Supported by a 24/7 Security Operations Center (SOC), Cynet’s CyOps team provides continuous monitoring and expert guidance to keep client environments secure. Partnering with Cynet allows you to deliver cutting-edge, proactive cybersecurity services while improving operational efficiency. See how Cynet can redefine your security offerings and empower your clients today.
  • 2
    ObserveIT Reviews
    In today's landscape, every organization functions in a mobile capacity, encompassing remote employees, independent contractors, and executives and sales teams constantly on the go. As collaboration on sensitive materials increases, so do the risks associated with security errors and insider threats. Conventional perimeter-based security measures fall short in delivering the necessary visibility and business continuity sought by security and IT departments. Safeguarding intellectual property, as well as customer and employee data, demands more than just preventative strategies. Relying heavily on prevention leads to numerous blind spots, even after dedicating extensive time to data discovery, classification, and policy development. Consequently, responding to data breaches in real-time becomes unfeasible, often requiring days or weeks to connect the dots between DLP, application, and forensic logs. In this evolving threat landscape, users themselves have become the primary security perimeter, making it crucial for security teams to extract meaningful context from various logs regarding suspicious user and data activities, a task that is often labor-intensive and frequently unmanageable. Organizations must adapt their security strategies to effectively address this new reality.
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