Converged single pass processing, purpose built global cloud service, and open data platform.
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
Converged single pass processing, purpose built global cloud service, and open data platform.
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
Data is the most valuable asset a modern enterprise has. The evolving threat landscape and shift to cloud trend are putting enterprise data at an ever-growing risk of being compromised and maliciously exploited. There is a clear need for enterprises to better protect their data, reflected in the 32% increase in data protection queries Gartner received in 2021 vs the previous year.
While Data Leak Protection (DLP) solutions have been around for over 15 years, they have seen limited adoption, usually by very large organizations. New security architectures, however, such as Secure Access Service Edge (SASE) and its subset, Secure Service Edge (SSE), are making it easier for enterprises to adopt DLP.
If you think DLPs are too complicated, too expensive or require too much expertise to run efficiently, we urge you to read this white paper and learn how you can more easily adopt a DLP and better protect your data.
In this whitepaper we’ll explore:
With Cato, any organization can reap the full benefits of digital transformation, move at the speed of business, and be ready for whatever’s next.