Press release
New Zscaler AI Security Report Reveals an Over 3,000% Surge in Enterprise Use of AI/ML Tools
Annual ThreatLabz Report Reveals 36x More AI/ML Transactions in World’s Largest Security Cloud, Stressing the Need for Zero Trust Everywhere to Enable Secure
About this update from Zscaler Inc
[{"type":"text","content":"Annual ThreatLabz Report Reveals 36x More AI/ML Transactions in World’s Largest Security Cloud, Stressing the Need for Zero Trust Everywhere to Enable Secure GenAI Adoption and Stop AI-Powered Threats\nChatGPT is the most popular AI/ML application, accounting for nearly half of all AI/ML transactions (45.2%) and is also the most-blocked AI application, followed by Grammarly, and Microsoft Copilot as the second and third most-blocked applications, respectivelyAgentic AI and open-source model DeepSeek are creating new opportunities for threat actors to weaponize AI and automate and scale their attackThe top five countries generating the most AI/ML transactions are the United States, India, United Kingdom, Germany, and JapanThe Finance & Insurance and Manufacturing industries generate the most AI/ML traffic, with 28.4% and 21.6% share of all AI/ML transactions in the Zscaler cloud, respectively, followed by Services (18.5%), Technology (10.1%), Healthcare (9.6%), and Government (4.2%) SAN JOSE, Calif., March 20, 2025 (GLOBE NEWSWIRE) -- Zscaler, Inc. (NASDAQ: ZS), the leader in cloud security, today released the ThreatLabz 2025 AI Security Report, based on insights from more than 536 billion AI transactions processed between February 2024 to December 2024 in the Zscaler Zero Trust Exchange™platform, the largest in-line security cloud, which discovered real-world threat scenarios ranging from AI-enhanced phishing to fake AI platforms. This report also explores recent developments in areas that will undoubtedly influence AI in 2025 and beyond, including agentic AI, the emergence of DeepSeek, and the evolving regulatory landscape. The report reveals a 3,000+% year-over-year growth in enterprise use of AI/ML tools, highlighting the rapid adoption of AI technologies across industries to unlock new levels of productivity, efficiency, and innovation. Enterprises are sending significant volumes of data to AI tools, totaling 3,624 TB, underscoring the extent to which these technologies are integrated into operations. However, this surge in adoption also brings heightened security concerns. Enterprises blocked 59.9% of all AI/ML transactions, signaling enterprise awareness around the potential risks associated with AI/ML tools, including data leakage, unauthorized access, and compliance violations. Threat actors are also increasingly leverag...