Cloud Security Company Zscaler Inc. today unveiled new artificial intelligence innovations for its AI data protection platform, including native data security posture management and real-time protection against email data loss, which aim to streamline data security and reduce complexity across multiple environments.
The new features aim to help users protect intellectual property and customer data from malicious insiders, accidental data loss and bad actors. Added to this is the threat of shadow AI, ransomware and increased cloud usage. As AI and machine learning transactions experience rapid growth despite security risks, businesses need new tools to help them in a rapidly evolving security landscape.
Zscaler’s platform currently analyzes and leverages insights from more than 500 trillion data points across users, devices, networks and applications every day. The latest enhancements to Zscaler’s AI data protection platform harness the power of AI and automation visibility into sensitive data anywhere, with insightful context and closed-loop workflow automation.
The list of new features includes a 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 contextual insights into risk prompts, AI app users, and granular policy controls.
Another feature, called Email DLP, secures sensitive data in corporate email, including Microsoft 365 and Gmail, by addressing one of the most problematic insider threat vectors. Also launched today is Unified SaaS Security, a service that integrates standalone technologies such as SaaS Security Posture Management, SaaS Supply Chain Security, Out-of-Band API CASB Security, and Data Analysts. in-depth user activities to provide an accurate correlation engine to help with proactive risk management and mitigation.
Rounding out the announcements is AI Auto Data Discovery, a feature that encompasses all locations of data at rest, including endpoints, software as a service, and public cloud infrastructure. This feature streamlines existing data protection programs by reducing complexity and improving efficiency.
“Good data protection starts with complete visibility. Point products create complexity and security gaps and do not provide a complete 360-degree view of your business data,” said Moinul Khan, vice president and general manager of data protection at Zscaler. “With today’s launch…we continue our commitment to helping customers visualize all their data and evolve security protection to prevent leaks.” By ensuring data security across structured and unstructured data and across all channels with our comprehensive data protection platform, organizations can replace multiple existing point products to reduce cost and complexity.
Sam Curry, Global Vice President and Chief Information Security Officer of Zscaler, spoke with theCUBE, the live streaming studio of SiliconANGLE Media Inc., last week on how the company was using AI to combat emerging threats:
Photo: Zscaler
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