
EverInsight is a powerful user behavioral analytics solution designed to protect not just the organization, but also the innocent. Easily configure policies to detect employee harassment, illegal activities, and compromised users.
Vendor
Everfox
Company Website
Advanced User Behavior Analytics
Detect, Analyze, Protect with User Behavior Insights
Your employees are your greatest asset, and your greatest risk. Leveraging advanced psycholinguistics, AI, and proprietary algorithms protected by 10 U.S. patents, to gain intelligent insight into patterns, activities, and trends that could lead to compromise. EverInsight provides powerful behavioral insights to analysts so they can rapidly respond to risky behaviors before it’s too late.
Human-Centric, Risk-Responsive Protection
Maintain an ideal balance of security and productivity with a proprietary and AI enhanced system designed to respond to behaviors in near real time.
Unparalleled Visibility into Indicators of Compromise
Uncover anomalous and hidden behaviors as indicators risk. Enabling remediation actions for intervening before a security incident occurs.
Privacy and Integrity by Design
Leverage built-in governance to maintain the integrity of investigations and maintain employee privacy with Do Not Collect policies.
Advantages of User Behavior Analytics (UBA)
EverInsight provides analysts with the ability to define custom policies and risk-responsive rulesets for protecting their organization from insider risk. Gain actionable intelligence to protect your organization, streamline operations and make informed decisions based on user behavior patterns, and AI algorithms.
Beyond Threat Detection
EverInsight User Behavior Analytics (UBA) go beyond detection to identify unusual or suspicious user activities, compromised accounts, insider or external threats early before they cause significant damage.
Reduced Risk of Insider Threats
By analyzing behavioral patterns, EverInsight UBA helps detect malicious or accidental actions by insiders, protecting sensitive data and minimizing the risk of data breaches.
Thwart Data Theft and Protect Intellectual Property (IP)
- Robust endpoint sensor for policy-driven data collection
- Collect behavioral data from multiple endpoint channels for full context of user activity
- In-depth analytics and AI to ensure rapid response to risky behaviors
Insight into Potential Compromise
- Persistent, enterprise-grade monitoring on and off-network for full context into user activity
- In-depth analytics and AI to help ensure rapid response to risky behaviors
- Identify precursors and leading indicators of potential risk
Conduct Fair and Accurate Investigations
- Privileged user resilient with anti-tampering features
- Immutable audit trail records access and memorializes policy and configuration changes
- Proven authentic, relevant, and original records for use in legal proceedings
Enhanced Data Security
EverInsight strengthens data protection by monitoring and analyzing how users interact with sensitive information, with proprietary algorithms and AI to identify risky behavior and guard against risk of insider threats.
Support for Zero Trust Security
EverInsight enables a viable zero trust security model by continuously verifying and analyzing user actions for unauthorized behaviors and potential risk.
Why EverInsight?
EverInsight is a powerful user behavioral analytics solution designed to protect not just the organization, but also the innocent. Easily configure policies to detect employee harassment, illegal activities, and compromised users. Gain a holistic understanding of the highest risk users and define risk-responsive policies through proprietary analytics and AI algorithms to address behavior that can lead to compromise.
Enhancing Transparency with User Behavior Analytics for Proactive Security
EverInsight user behavior analytics and AI produces cost effective, accurate and insightful results. Unlike competitor products that tout AI as part of sorting through their detection data, EverInsight provides transparency by exposing enhanced detail so analysts can understand how the user community operates while adding their expertise to features and models for greater insight into leading indicators of potential risk. For example, an analytics administrator can change the scoring weight of a cloud storage upload or weekend activity based upon the data feeds from various data sources, such as the organization’s SIEM or DLP tool set. When the analyst investigates a user of interest, they do so through the user-friendly entity timeline, which provides analytic explanations and context, allowing the analyst to make informed judgments and take appropriate actions as they assess possible security threats.