AI-Powered Data Defense: How Zscaler Prevents Data Loss and Reduces Risk

Discover modern data protection

The threat of data loss looms large in today's digital landscape. Global cybercrime costs are projected to reach a staggering US $10.5 trillion annually by 2025, with data loss a significant contributor. Organizations face myriad risks, both external and internal, including ransomware, cloud storage misconfigurations, phishing, and insider threats.

As data becomes increasingly distributed across email, web, endpoints, SaaS apps, public clouds, and other channels, traditional data loss prevention (DLP) methods struggle to keep up. Fragmented DLP solutions often lead to inconsistent alerting, added complexity, and higher costs.

To overcome all this, modern organizations need to adopt a unified approach to data protection.

In this ebook, you’ll learn about:

• AI-driven data visibility—new AI capabilities that auto-discover and identify risks, inspect all internet and SaaS traffic, and accelerate risk prioritization, providing holistic visibility into your data.
• Zscaler Unified Data Protection—our AI-powered platform that delivers comprehensive security for data on and off the network, unlimited TLS/SSL inspection, and consistent alerting across all channels.
• Protecting SaaS and public cloud data—peerless multimode CASB to secure cloud apps, improve security posture with SSPM, discover shadow IT, and enforce zero trust access, delivering better visibility and reduced misconfigurations.
• Streamlining operations—achieving faster deployment, more efficient IT teams, full incident details, user justifications, and automation to expedite incident management and resolution.