Top 10 Best Insider THR eat Detection Software of 2026

Proofpoint Insider Threat Management is a leading UEBA-based solution that monitors user behavior across email, cloud applications, endpoints, and collaboration tools to detect insider threats like data exfiltration, sabotage, and credential abuse. It uses machine learning to create behavioral baselines, assign risk scores, and provide forensic investigations with precise data tracking via digital fingerprinting. The platform integrates seamlessly with SIEMs and SOAR tools for automated response and prioritization of high-risk incidents.

Varonis DatAdvantage is a leading data security platform that provides deep visibility into unstructured, semi-structured, and structured data across file shares, cloud storage, and SaaS applications. It excels in insider threat detection by leveraging user and entity behavior analytics (UEBA), machine learning-driven anomaly detection, and automated risk scoring to identify risky behaviors like unusual data access or privilege abuse. The solution also maps permissions, enforces least privilege, and supports incident response with forensic timelines, helping organizations prevent data exfiltration and compliance risks.

Forcepoint Insider Threat is a comprehensive security solution that uses advanced behavioral analytics, machine learning, and user activity monitoring to detect and mitigate insider threats across endpoints, networks, email, and cloud environments. It identifies risky user behaviors through behavioral indicators of interest (BIOIs) and provides risk-adaptive protections to prevent data exfiltration. The platform integrates with DLP and other Forcepoint tools for a holistic approach to insider risk management.

DTEX InTERCEPT is an AI-powered insider threat detection platform that uses user and entity behavior analytics (UEBA) to monitor endpoint, web, email, and cloud activities for anomalous behaviors signaling risks like data exfiltration or sabotage. It employs lightweight agents for frictionless deployment, focusing on human intent and risk scoring rather than content inspection to respect privacy. The solution integrates with SIEMs and SOAR tools, enabling proactive intervention through its i3 strategy: Investigate, Illuminate, Intervene.

Code42 Incydr is a cloud-native insider risk management platform that monitors data movement across endpoints, cloud storage, SaaS apps, and email to detect insider threats. It leverages behavioral analytics, machine learning, and risk indicators to identify exfiltration attempts, unusual sharing, and high-risk user activities. The solution provides prioritized alerts, automated responses, and forensic investigations to help security teams mitigate data loss risks efficiently.

Exabeam is a security analytics platform specializing in User and Entity Behavior Analytics (UEBA) to detect insider threats by establishing behavioral baselines and identifying anomalies in user activity across endpoints, networks, and cloud environments. It leverages machine learning for real-time risk scoring and automated investigation timelines that reconstruct attack sequences. Designed for enterprises, it integrates with SIEMs and other tools to provide contextual insights into potential insider risks and lateral movement.

Splunk User Behavior Analytics (UBA) is a user and entity behavior analytics (UEBA) platform that uses machine learning to baseline normal behaviors across users, devices, and applications, detecting anomalies indicative of insider threats or advanced attacks. It integrates deeply with the Splunk ecosystem, ingesting vast amounts of machine data to perform peer group analysis and generate prioritized notable events for investigation. UBA excels in proactive threat hunting by identifying subtle deviations without relying on static rules, making it suitable for complex enterprise environments.

Securonix is a cloud-native security analytics platform specializing in AI and machine learning-driven detection of insider threats via User and Entity Behavior Analytics (UEBA). It ingests vast amounts of log data from endpoints, networks, cloud services, and applications to baseline normal behaviors and flag anomalies like data exfiltration or privilege abuse. The platform offers automated investigations, risk scoring, and orchestrated response workflows to help security teams prioritize and mitigate insider risks efficiently.

Gurucul is an AI-powered security analytics platform focused on user and entity behavior analytics (UEBA) for insider threat detection and advanced threat hunting. It leverages machine learning to baseline normal behaviors, detect anomalies via peer group analysis, and assign dynamic risk scores across hybrid environments. The solution integrates with SIEMs, endpoints, and cloud sources to enable proactive threat mitigation and automated responses.

Microsoft Purview Insider Risk Management is an AI-driven solution within the Microsoft Purview compliance suite that detects insider threats by analyzing user activities across Microsoft 365 services like Exchange, SharePoint, OneDrive, and Teams. It uses machine learning to identify risky behaviors such as data exfiltration, suspicious sharing, or potential IP theft through customizable policies and real-time alerts. The tool supports investigation workflows, case management, and integration with HR systems for comprehensive risk mitigation.