iManage Threat Manager detects security attacks and prevents data loss while providing information management and governance controls. It delivers threat detection, monitoring, investigative capabilities, alerts, usage analytics, and reporting to protect sensitive information and reduce risk. It also includes sensitive matter monitoring and user adoption reports for governance oversight.

In this section:

Key benefits

iManage Threat Manager delivers the following key benefits:

  • Detect sophisticated threats: iManage Threat Manager uses machine learning and user Behavior Analytics to identify internal and external threats. By leveraging historical and contextual information from iManage Work audit trails, it detects threats faster, minimizes false positives, and enhances security and governance.

  • Act to prevent data loss: Data breaches can result in loss of gigabytes of information in a short time. iManage Threat Manager not only detects and alerts but proactively neutralizes threats through Detect and Protect rules that warn users and disable accounts when malicious patterns are detected.

  • Comply with client regulations: Clients may contractually require firms to demonstrate proper controls to protect sensitive information, including:

    • Alerts for anomalous behavior

    • Sensitive matter monitoring

    • User activity reports

    iManage Threat Manager provides capabilities to exceed the most challenging regulatory demands of any client.

  • Accelerate threat investigation: iManage Threat Manager provides advanced forensics and granular event reconstruction for rapid detection and investigation. Rich contextual information helps you quickly assess the scope of a breach.

  • Usage analytics and reporting: iManage Threat Manager delivers trending reports and dashboards for analyzing user adoption (including non-filers) and benchmarking critical content processes to manage risk.

Key capabilities

iManage Threat Manager provides:

  • Configurable rules to continuously track anomalous behavior.

  • On-demand analysis over any time period to find and investigate anomalous behavior.

  • Advanced forensics and granular event reconstruction to investigate malicious behavior.

  • Advanced machine learning to detect anomalous behavior.

  • Compliance reporting to identify users circumventing the document management system (non-filers).

  • Basic automation to streamline threat investigation, reporting, and task assignment.