Zscaler Unveils AI Innovations to Power the Industry’s Most Comprehensive Data Protection Platform
Zscaler, Inc. , the leader in
cloud security, announced multiple innovations to its AI Data Protection
Platform that leverage the world’s largest security cloud and the power of AI.
These innovations make Zscaler’s AI Data Protection platform the industry’s
most comprehensive data protection solution. We protect:
Structured and unstructured data
in-motion, at-rest, and in-use
Data across all inline channels
including Web, SaaS, Email, BYOD, and private applications in both data centers
and public cloud
Data in SaaS, IaaS/PaaS
environments, endpoints, and on-premises network shares
Data protection is a top priority
for all organizations that must protect intellectual property and customers’
data from malicious insiders, accidental data loss, and bad actors. The problem
is compounded with the expanding threat of new shadow AI, ransomware, and
increased cloud usage. According to the 2024 ThreatLabz AI Report, enterprise
AI/ML transactions grew by nearly 600% from April 2023 to January 2024, despite
mounting security risks.
"There is an immediate and
critical need for a consolidated approach to data protection that can secure
all types of data, in all locations, while streamlining security
operations," said Moinul Khan, Vice President and General Manager, Data
Protection, Zscaler. “Great data protection starts with complete visibility. Point
products create complexity and security gaps, and do not provide a full 360
degree view of your enterprise data. With today’s launch of the Zscaler AI Data
Protection Platform, we are continuing our commitment to help customers see all
their data and scale security protection to prevent leaks. By enabling data
security across structured and unstructured data and all channels with our
comprehensive data protection platform, organizations can replace multiple
legacy point products to reduce cost and complexity."
Zscaler analyzes and harnesses
knowledge from over 500 trillion data points daily across users, devices,
networks, and applications. The power of AI and automation increases visibility
to sensitive data everywhere, provides insightful context, and delivers
closed-loop workflow automation. The latest enhancements to Zscaler’s AI Data
Protection Platform include the following:
Natively integrated Data Security
Posture Management (DSPM), engineered as a central part of Zscaler’s data
protection platform that discovers, classifies, and protects sensitive data in
public clouds such as AWS and Microsoft Azure
Context-rich GenAI App Security
with user and risk correlation providing insights to risky prompts, AI app
usage, and granular policy controls
New, real-time Email DLP for
securing sensitive data across corporate email including Microsoft 365 and
Google Gmail - one of the most problematic insider threat vectors
Additional platform enhancements
including:
Consolidated Unified SaaS
Security, which integrates traditionally stand-alone technologies such as,
SSPM, SaaS Supply Chain Security, Out-of-Band API CASB Security and analysis of
deep user activities, to deliver a highly accurate correlation engine. This
engine provides powerful, actionable insights for SaaS data, enabling proactive
risk management and mitigation
Expanded AI Auto Data Discovery
to encompass all data-at-rest locations, including Endpoint, SaaS, and Public
Cloud Infrastructure. This expansion streamlines legacy data protection
programs by reducing complexity and enhancing efficiency
“Organizations are looking for
more ways to extract value from the data that exists across their ecosystem,
while keeping sensitive and confidential information protected. The combination
of data discovery, classification and mapping provides essential context for
confident enforcement of security controls while still optimizing business
processes,” said Jennifer Glenn,
Research Director, Security & Trust, IDC. “Data security solutions,
such as Zscaler’s AI Data Protection Platform, can help identify and fix data
security issues, while also reducing the cost and complexity of deploying
multiple classification engines and other point products.”
"Today’s enterprises are
tasked with managing data across more platforms than ever before including
devices, clouds, applications and servers. Protecting and securing this data
from loss and the exponential rise in threats like ransomware is a monumental
task made even more challenging when teams have limited visibility into data at
rest and in motion,” said Elad Horn,
GVP, Product, Cohesity. “Together, Cohesity and Zscaler are helping these
organizations bolster their data security and posture, offering deep visibility
into sensitive data while empowering them to better defend their data from
threats and speed their time to recovery from incidents.”
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