Data Loss Prevention (DLP)

Cato DLP simplifies data protection by offering a catalog of 350+ pre-defined data types to cover common use cases for safeguarding sensitive data, PII, and ensuring regulatory compliance. Cato enhances data protection with custom data type creation based on labels such as Microsoft Information Protection (MIP), keywords, and regular expressions. Leveraging ML models, it provides comprehensive detection for medical records, tax forms, patent documents, resumes, immigration forms, and more. Advanced techniques such as Exact Data Match (EDM) support specific sensitive data values important to the organization, rather than matching general data patterns. Optical Character Recognition (OCR) technology scans and analyzes text embedded in image files like such as scanned documents and screenshots.

The Cato DLP engine inspects all traffic going to private applications in on-premises/cloud datacenters and SaaS applications. It identifies sensitive data usage and applies data protection policies consistently, regardless of the traffic source or destination. As a cloud service, Cato DLP avoids backhauling traffic for inspection, reducing the impact on application performance and user productivity. In addition to its inherent visibility and control of inline traffic, Cato DLP integrates with APIs for common SaaS applications, enabling near real-time monitoring of data usage to prevent data leakage and data sharing misconfiguration. Cato DLP provides comprehensive and complete data protection across all application and data access scenarios.

Cato DLP offers robust inline scanning and stringent policy enforcement, tailored for Generative AI traffic such as ChatGPT. This safeguards against the inadvertent compromise of sensitive information while using such applications. Administrators can configure comprehensive policies that govern both upload and download activities within the Gen AI application framework. By integrating these controls, organizations can significantly enhance their data security posture. They can create an additional layer of defense against the exposure of confidential data and be more confident in their compliance to regulation. These measures ensure that any data processed through Generative AI applications remains secure and aligned with organizational data protection standards.

Data protection is an ongoing responsibility that requires continuous enforcement, monitoring, and fine-tuning. Cato DLP provides a dedicated dashboard for efficient visibility into DLP events and related activities. Administrators gain instant insight into key DLP metrics such as sensitive data usage violations by users, violators, file types, and data profiles. When analyzed over time and across geographies, risk and compliance teams can identify necessary adjustments to corporate policies and processes. All of this is delivered through a single console, the Cato Management Application (CMA) ensuring ease of management and operational efficiency.