Ebook
AI-Powered Data Defense: How Zscaler Prevents Data Loss and Reduces Risk
Revolutionize your data security strategy
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.