Palo Alto Networks
9a25a17c-4523-4a0f-8d2e-44c31db124d7

Is Your GenAI Environment Secure?

Generative AI is being deployed faster than most security programs can adapt. As organizations operationalize LLMs and autonomous agents, new risks emerge—prompt injection, data leakage, model tampering, and agent hijacking—that traditional security controls were never designed to detect.

This guide examines why legacy, rule-based defenses struggle to keep pace with AI-native threats and how fragmented point solutions create blind spots across the AI lifecycle. It explores what security leaders need to gain visibility into AI behavior, enforce real-time protections, and prevent misuse before it becomes a breach.

Readers will discover:

  • Where GenAI introduces new attack surfaces
  • Why “bundled” tools fail to deliver true integration
  • What a lifecycle-based approach to AI security looks like

Download the guide to understand how to secure AI applications, agents, and data—without slowing innovation.

Get this for free

 

I would like to speak to a sales specialist.

 

Sign me up to receive news, product updates, sales outreach, event information and special offers about Palo Alto Networks and its partners.

By submitting this form, I understand my personal data will be processed in accordance with Palo Alto Networks Privacy Policy and Terms of Use.

If you were referred to this form by a Palo Alto Networks partner or event sponsor or attend a partner/event sponsor session, your registration information may be shared with that company.