Cato DLP empowers organizations to consistently protect sensitive data across users, locations, and clouds. Comprehensive DLP control is essential to ensuring compliance with regulations such as GDPR, PCI DSS, HIPAA, and protecting intellectual property and proprietary information.
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.
Cato를 사용하면 여러 보안 포인트 솔루션과 값비싼 네트워크 서비스로 구성된 복잡한 레거시 아키텍처가 더 이상 필요하지 않습니다.
Cato의 독특한 SASE 플랫폼은 어디서나 모든 사용자에게 안전하고 최적화된 애플리케이션 액세스를 일관적이며 자체적으로 제공합니다.
Cato Networks는 2024년 Gartner® Magic Quadrant™ 단일 공급업체 SASE 부문에서 리더로 선정되었습니다
“Cato Networks는 ZTE와 SASE의 상징입니다.”
SASE의 성장 및 혁신 리더로 인정받는 Cato Networks
GigaOm Radar 보고서에서 ‘리더’로 선정된 Cato SASE
글로벌 SSE 제품 리더로 인정받는 Cato Networks
SD-WAN을 통한 WAN 혁신: SASE 성공을 위한 성숙한 기반 구축
“Cato에서 침해 및 공격 시뮬레이터를 실행한 결과 감염률과 내부망 이동은 감소했지만 감지율은 급증했습니다. 이것이 Cato 보안을 신뢰할 수 있는 가장 큰 이유입니다.”
IT 팀이 바라던 솔루션입니다.
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