Unpacking Zscaler ThreatLabz’s 2024 State of AI Security Report

The SecurityANGLE

In this episode of the SecurityANGLE, host Shelly Kramer, managing director and principal analyst at theCUBE Research, is joined by Zscaler’s CSO, Deepen Desai, for a conversation about the findings in the company’s newly released 2024 AI Security Report. The survey relied on more than 18 billion transactions across the company’s cloud security platform, the Zscaler Zero Trust Exchange from April of 2023 to January of 2024.
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Zscaler’s ThreatLabz researchers explored how AI/ML tools are being used across the enterprise, and then went deeper, mapping out trends across sectors and geographies. They explored how companies are thinking about AI, how they are integrating AI into their business operations, how they are thinking about security around the use of AI tools and the risks that generative AI brings and how organizations are addressing those AI risks — all things top of mind for many business leaders today.
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In his role as CSO, Deepen is responsible for global security research operations and works with Zscaler’s product teams to ensure security across the Zscaler platform.
Zscaler’s value prop is all about accelerating DX so that customers can be more agile, efficient, resilient, and secure, and the Zscaler Zero Trust Exchange™ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across more than 150 data centers globally, the SSE-based Zero Trust Exchange™ is the world’s largest in-line cloud security platform.
Their conversation covered:
- The challenges of leading security operations in the age of AI
- The biggest challenges Zscaler sees customers trying to get arms around as it relates to AI security
- Data from the 2024 AI Security Report, which shares that AI/ML usage skyrocketed by a whopping 594.82% during a nine-month period, rising from 521 million AI/ML driven transactions in April 2023 to 3.1 billion monthly transactions by January of 2024
- Findings from the report on how AI is being used by threat actors to speed cyber campaigns
- The risks associated with the sending and receiving of data from AI tools and how to think about managing that process securely
- The role that blocking plays in the enterprise today in these early days of generative AI, and what some of the most blocked AI applications are today
- Attack surfaces and which of these are the most concerning
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