UEBA Security Solutions
Detect and prevent insider threat with user and entity behavior analytics (UEBA)
Detect and prevent insider threat with user and entity behavior analytics (UEBA)
30 percent of data breaches involve organization insiders acting negligently or maliciously. Insiders pose a unique threat to organizations because they have access to proprietary systems and often are able to bypass security measures, creating a security blind spot to the risk and security teams.
Fortinet’s User and Entity Behavior Analytics (UEBA) security solution protects organizations from insider threats by continuously monitoring users and endpoints with automated detection and response capabilities. Leveraging machine learning and advanced analytics, FortiInsight automatically identifies non-compliant, suspicious, or anomalous behavior and rapidly alerts any compromised user accounts. This proactive approach to threat detection delivers an additional layer of protection and visibility, whether users are on or off the corporate network.
Data from the FortiInsight endpoint agent is streamed securely from the endpoint to our data store, capturing a standard format that leverages the unique 5-factor model. This one-of-a-kind capability captures the specific machine identifier, the user and application that performed the activity, as well as the type of activity and any specific resources that were affected.
For example, a single entry may contain the following:
A user named Margarette, working on gb-Machine 1, copied a file called customer_details.xlsx to removable media.
And, because the 5-factor model captures the same core pieces of data for every event that occurs, your team is armed with comprehensive information that enables them to configure specific policies to alert.
FortiInsight applies patented smart connector technology. Built from the ground-up, it uses core OS functionality and minimizes performance impact, resulting in strengthened security with no impact on endpoints, users, or productivity.
Our smart connector consumes less than 0.5% of CPU, 20 MB of RAM memory and 5 KB/s of network traffic with no additional configuration required, and no rules needing to push to the connectors.
The bottom line? With zero-impact on endpoint devices, you can forget about performance degradation, and focus on instant protection for your intellectual property (IP) and sensitive data.
FortiInsight automatically learns normal user behavior, and then detects the unknown to alert you in real-time to any anomalous activities, so you can act fast before issues become serious security problems.
The lightweight agent securely streams continuous sequences of activities from monitored endpoints or cloud services to the machine learning engine, where an unsupervised anomaly-detection system identifies events that do not fit the pattern of users’ everyday activities.
These anomalies are then checked for known risk factors, such as the use of removable media, hacking tools, or the accessing of files that violate policies. Combined with previous operator feedback, these risk factors are attributed an overall risk score. Any activities that appear to present risk cause an instant alert, and your team can quickly take the appropriate action.
FortiInsight is a unique data security and threat detection solution that delivers advanced threat hunting to help you spot, respond to and manage risky behaviors that put your business-critical data at risk. We combine powerful and flexible Machine Learning with detailed forensics around user actions to bring focus to the facts more rapidly than other solutions.
Augmented Intelligence (AI)
Forensic-level Reporting
Valuable Insights
Rapid Threat Detection
Regulatory Compliance Support
Data Security
FortiInsight protects your organization’s sensitive data and high-value intellectual property from loss, theft, and mishandling, whether from a malicious insider or accidental incident.
FortiInsight monitors endpoint activities, resource access, and data movement both on and off the network, offering complete visibility around resources and data. It identifies risky behavior, policy violations, and takes action before they turn into security incidents.
The rule-based engine combined with machine-learning analytics means it can quickly and consistently identify risky activities. In addition, it supports compliance reporting and provides detailed forensics to aid investigation.
Advanced training for security professionals, technical training for IT professionals, and awareness training for teleworkers.
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