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AI in the Enterprise: Key Findings from the ThreatLabz 2025 AI Security Report

ID: ecdd7284-7a10-56b3-a123-8a3c962bc375

STIX ID: report--ecdd7284-7a10-56b3-a123-8a3c962bc375

Feed Name: Zscaler Security Research Blog

Date Published: 2025-04-22

Date Updated: 2026-05-01

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**Executive Summary:** This excerpt from Zscaler's ThreatLabz 2025 AI Security Report outlines recommendations for securely adopting AI and defending against AI-powered cyberthreats, advocating zero trust as a foundation and the use of AI-driven detection and controls. Core measures highlighted include hiding applications and enforcing least-privilege access, AI-powered detection of phishing and malware, data classification and DLP, app segmentation to stop lateral movement, breach prediction, and visibility into GenAI usage and prompts to prevent data exposure.

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