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Zscaler enhances AI data protection platform with new security innovations

Cloud security company Zscaler Inc. today unveiled new artificial intelligence innovations for its AI Data Protection Platform, including natively integrated data security posture management and real-time email data loss protection that aim to streamline data security and reduce complexity across multiple environments.

The new features are focused on assisting users in protecting intellectual property and customer data from malicious insiders, accidental data loss and bad actors. Thrown into the mix is the threat of shadow AI, ransomware and increased cloud usage. With AI and machine learning transactions rapidly growing despite security risks, enterprises need new tools to help them in a rapidly evolving security landscape.

Zscaler’s platform currently analyzes and harnesses knowledge from more than 500 trillion data points daily across users, devices, networks and applications. The latest enhancements to Zscaler’s AI Data Protection Platform harness the power of AI and automation visibility into sensitive data everywhere, with insightful context and closed-loop workflow automation.

The list of new features includes natively integrated DPSM that discovers, classifies and protects sensitive data in public clouds such as Amazon Web Services Inc. and Microsoft Corp.’s Azure. A second feature, known as GenAI App Security, offers context-rich insights into risky prompts, AI app users and granular policy controls.

Another feature, called Email DLP, secures sensitive data across corporate email including Microsoft 365 and Gmail, taking on one of the most problematic insider threat vectors. Also launched today was Unified SaaS Security, a service that integrates stand-alone technologies such as SaaS Security Posture Management, SaaS Supply Chain Security, Out-of-Band API CASB Security and analysts of deep user activities to deliver an accurate correlation engine to assist with proactive risk management and mitigate.

Rounding out the announcements is AI Auto Data Discovery, a feature that encompasses all data-at-rest locations, including endpoint, software-as-a-service and public cloud infrastructure. The feature streamlines legacy data protection programs by reducing complexity and enhancing efficiency.

“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,” said Moinul Khan, vice president and general manager of Data Protection at Zscaler. “With today’s launch… 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.”

Sam Curry, global vice president and chief information security officer of Zscaler, spoke with theCUBE, SiliconANGLE Media Inc.’s livestreaming studio, last week about how the company was using AI to tackle emerging threats:

Photo: Zscaler

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