InfoWatch Traffic Monitor: Data Loss Prevention Software
InfoWatch Traffic Monitor helps organizations identify and prevent the unauthorized transfer of sensitive information. It is designed for companies requiring monitoring of data movement and staff activity to manage internal security risks.
At a glance
- Category
- Security
- Best for
- Enterprise companies, Organizations with critical industrial infrastructure, Large-scale corporate environments, Companies requiring forensic data logging
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Confidential Data Protection, Internal Incident Investigation, Critical Infrastructure Security, Predictive Risk Management
- Official website
- www.infowatch.com
InfoWatch Traffic Monitor is a Data Loss Prevention (DLP) system that uses AI and machine learning to detect and prevent the leakage of confidential and personal data. It monitors data movement across multiple channels, including cloud services, social media, and mobile devices.
The system is designed for organizations that manage large volumes of data and a high number of employees. The product ecosystem includes tools for auditing data storage and analyzing user behavior to identify anomalies that may indicate a security risk.
For businesses with industrial operations, the company also offers InfoWatch ARMA for protecting automated process control systems at the network and endpoint levels. This supports security for both corporate office environments and critical infrastructure sites.
Buyers should confirm their technical resources for implementation, as the software is designed for complex enterprise environments. It is also recommended to confirm how the modular pricing structure aligns with specific organizational security needs.
Key Features
Uses machine learning to classify data and update security policies to prevent unauthorized transfers.
Records workflow and data movements, which helps administrators perform retrospective investigations.
Tracks employee actions, including visited websites, application usage, and text input, to provide evidence for incident investigations.
Analyzes over 230 parameters to detect behavioral anomalies and may help predict potential security incidents.
Audits organizational file resources to locate sensitive documents that require protection.
Provides network-level protection and industrial firewalls for automated process control systems.
Use Cases
Monitoring and blocking the unauthorized transfer of sensitive files across cloud services and mobile devices.
Using activity logs and screenshots to gather evidence when investigating internal information security breaches.
Deploying industrial firewalls and endpoint protection to secure automated process control systems from network attacks.
Using AI to identify patterns of behavior that may suggest an employee is preparing to leave the company or transfer data.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is a Data Loss Prevention (DLP) system that uses AI to detect and prevent the unauthorized use of confidential and personal data across various communication channels.
The software is designed for enterprise-level companies, including those managing critical industrial infrastructure and automated process control systems.
Traffic Monitor focuses on the data being moved, while Activity Monitor monitors user actions, such as recording login/logout times, web queries, and screenshots.
Yes, through the InfoWatch ARMA product line, which provides industrial firewalls and endpoint protection for critical infrastructure.
Source category: Security
Source subcategory: Data Loss Prevention
