©2024 Zscaler, Inc. All rights reserved. 03ZSCALER THREATLABZ REPORT 2024
Executive Summary
AI is more than a pioneering innovation—it’s now business as usual. As generative
AI tools like ChatGPT transform business in large and small ways, AI is being woven
deep into the fabric of enterprise life. However, questions about how to securely
adopt these AI tools while defending against AI-driven threats are not settled.
Enterprises are rapidly adopting AI and ML tools across departments like
engineering, IT marketing, nance, customer success, and more. Yet,
they must balance the numerous risks that come with AI tools to reap
their fullest rewards. Indeed, to unlock the transformative potential of AI,
enterprises must enable secure controls to protect their data, prevent the
leakage of sensitive information, mitigate ‘Shadow AI’ sprawl, and ensure
the quality of AI data.
These AI risks to enterprises are bidirectional: outside enterprise walls, AI
has become a driving force for cyberthreats. Indeed, AI tools are allowing
cybercriminals and nation state-sponsored threat actors to launch
sophisticated attacks, more quickly, and at greater scale. Despite this, AI
holds promise as a key piece of the cyber defense puzzle as enterprises
grapple with a dynamic threat landscape.
The ThreatLabz 2024 AI Security Report oers key insights into these
critical AI challenges and opportunities.
Drawing on more than 18 billion transactions from April 2023 to January
2024 across the Zscaler Zero Trust Exchange™, ThreatLabz analyzed
how enterprises are using AI and ML tools today. These insights reveal
key trends across business sectors and geographies in how enterprises
are adapting to the shifting AI landscape and securing their AI tools.
Throughout, you’ll nd insights into top-of-mind AI topics including
business risk, AI-driven threat scenarios and adversary tactics,
regulatory considerations, and predictions for the AI landscape in 2024
and beyond.
Just as critically, this report oers best practices on two fronts: how
enterprises can securely embrace generative AI transformation while
protecting critical data, and how AI-powered tools are working to
deliver layered, zero trust security to face the new landscape of AI-
driven threats.
