Fortinet 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) technology 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.
Features and Benefits
Hardware Assisted Encryption
Prevent breaches and secure data in transit at a very high speed.
Scalable security that is seamlessly integrated with routing.
Comprehensive Data Communications Security
Protects Application to Application, User to Users, User to Machine, Machine to Machine communication.
IPsec or SSL based diverse VPNs to offer flexible secure network choices.
Secuirty Fabric Integration
Share FortiTelemetry information across site-to-site tunnels with required confidentiality.
Simplified, easy-to-manage, single pane of glass to manage large scale crypto VPNs, Routing and NGFW.
FortiInsight Product Details
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.