AI is a powerful driver of innovation, but it can introduce an invisible risk: unintentional data leaks. These leaks are often self-inflicted when employees, customers or partners unintentionally expose sensitive data through AI tools. Systems can remember, replicate and resurface confidential information in unexpected ways, leaving organizations vulnerable without a clear forensic trail. The ultimate risk isn’t just fines or a breach notification, but a profound loss of trust from customers, regulators and boards.
In this webinar, we’ll shift the conversation from a technical problem to a trust-driven business imperative. You’ll learn:
- Why traditional security models fail.
- The most common ways sensitive data slips into and out of AI systems.
- How to build a proactive AI governance strategy with real-time visibility and automated guardrails.
- How to accelerate AI adoption safely.
Join us to move beyond reactive security and create a responsible AI framework that lets you innovate confidently.
Download When AI Leaks: Containing and Preventing Sensitive Data Leaks Whitepaper
Stop browser-borne attacks with AI-powered protection.
Over 85% of a work day is spent accessing applications and data within a browser. However, this introduces significant security vulnerabilities. In fact, 95% of organizations reported security incidents that originated in the browser.
This is where a secure browser helps. Its advanced, AI-powered security capabilities protect against sophisticated threats like phishing and malware. Dive further in with The Secure Browser for the Modern Enterprise For Dummies.
You’ll see exactly how Prisma® Access Browser facilitates secure access for independent workers and BYOD, while also securing encrypted traffic and GenAI usage. Get your complimentary copy and get ready to secure the modern enterprise.
Get Prisma Access Browser: The Secure Browser for the Modern Enterprise Guide
The new world of AI and the Cloud, along with a more distributed workforce, has shifted the security perimeter to the browser. New research from OMDIA highlights how the surge in SaaS adoption and unmanaged devices with work-from-anywhere freedom, are exposing critical gaps in traditional security approaches — and what leading organizations are doing to close them.
Join this webinar from Omdia and Palo Alto Networks featuring OMDIA analyst Rik Turner and Jiphun Satapathy, CISO, Medallia to:
- Uncover the exclusive findings of the latest Omdia report on workforce security
- Understand the security gaps presented by today’s traditional browsers
- Explore how the majority of organizations are exposed to threats hidden in encrypted traffic
- Learn how to control data shared in GenAI apps
- Get a firsthand look at how one company is securing work in the browser
Whether you’re rethinking your Zero Trust strategy or looking for proven, easy to deploy solutions to close your security gaps, this webinar delivers both strategic insight and tactical advice to help you secure the way work gets done today and well into the future.
Watch Adopting a Modern Browser-First Approach for Better Security Outcomes Now
The Secure Browser: The Missing Piece in Your SASE Strategy
How do you secure work performed in the browser? You should be asking this. After all, over 85% of the employee workday is spent there — accessing business-critical applications and data. It’s also a primary target for advanced cyberthreats, like AI-generated phishing attacks and advanced malware.
It’s time to extend the capabilities of your Prisma® SASE solution to also secure work in the browser with Prisma Access Browser. This secure browser reduces security risk by protecting work on any device, managed or unmanaged.
Read the whitepaper, “Prisma Access Browser: An Integral Part of SASE” and get ready to secure the modern, web-first workspace.
1.Optimizing Security for Modern Workforces, Palo Alto Networks and Omdia, January 2025.
Get Prisma Access Browser: An Integral Part of SASE Whitepaper
Omdia Research: How SASE Leaders Can Close Critical Workforce Security Gaps
As a SASE adopter, you’re ahead of the curve — but 95% of organizations (including SASE users) have still experienced a browser-based attack in the past year. Why? Because 85% of work now happens in the browser, making it a primary target for modern threats like phishing, ransomware and data leakage.
New research from Omdia reveals that even with strong SASE adoption, gaps remain — especially in securing SaaS access, unmanaged devices and browser-based work.
Download The State of Workforce Security: Key Insights for IT and Security Leaders to learn how to:
- Extend SASE protections to the browser for full visibility and control.
- Close gaps in BYOD security without impacting productivity.
- Use SASE and secure browsers together to enforce Zero Trust at every layer.
Omdia’s independent research provides key insights and recommendations to help SASE adopters like you take the next step in securing the modern workforce.
Get The State of Workforce Security: Key Insights for IT and Security Leaders Whitepaper
AI is redefining what’s possible, with over 78%1 of global enterprises having integrated it into their operations. However, only 6%2 have an advanced AI security strategy framework. To compensate, many organizations are putting AI guardrails in place, hoping to seal security gaps without slowing innovation.
In this webinar, we’ll expose the “guardrail trap”—the reason why these traditional mechanisms often fail under real-world pressure. Drawing on recent examples, we’ll show you how adversaries exploit fragmented standards and risky design decisions, turning a “lethal trifecta” of external data, permissive tools and broad access rights into a major liability. You’ll leave with a clear framework for avoiding the guardrail trap—and a view into how Prisma AIRS™ can help your organization build AI systems that are not just functional, but resilient, compliant and trustworthy.
- 78%: Source: The 2025 AI Index Report, Stanford University, 2025.
- 6%: New Study Reveals Major Gap Between Enterprise AI Adoption and Security Readiness
Watch The Guardrail Trap: Why Existing AI Security Strategies Aren’t Enough Now
The C-Suite Guide to GenAI Risk Management is your roadmap to secure AI adoption. Gain key insights and strategies to handle the unique risks inherent in GenAI applications. Confidently lead your organization into the AI-driven future, knowing your assets and data are well protected.
With this guide, you’ll learn:
- How GenAI operates within apps, plugins, subprocessors and more.
- How to create a framework for assessing your organization’s risk posture.
- How to minimize GenAI risk with a series of actionable recommendations.
Harness the full potential of GenAI while safeguarding against its risks.
Download Navigate the complexities of securing your GenAI Now
A New Frontier of GenAI Threats
Generative AI is revolutionizing productivity, but it is introducing critical security vulnerabilities that can compromise your sensitive data and information.
Get a comprehensive understanding of prompt-based threats and develop proactive defense strategies.
Get Securing GenAI Against Adversarial Prompt Attacks Report
How do you secure AI use and deployment?
This report by Gartner® provides great insight into AI trust, risk and security management (TRiSM) principles. The report includes guidance we believe essential to secure AI:
- Required technologies and functions for each TRiSM layer
- The challenges of AI application security and what to look for in a solution
- The importance of having governance that addresses AI usage
- A critical need for AI runtime inspection and enforcement capabilities
Read the Market Guide for AI Trust, Risk and Security Management by Gartner®, and get ready to truly protect your organization’s AI security.
Get Started
Organizations are building AI applications at lightning speed. 30% of enterprises deploying AI experienced a breach. This surge of innovation is creating a landscape riddled with blind spots. The old approach of relying on scattered point solutions simply can’t keep pace, leaving organizations exposed and struggling to identify and remediate against new threats evolving rapidly.
During this webinar you’ll learn how to:
- Enable safe adoption of AI models by scanning them for vulnerabilities.
- Gain insight into security posture risks associated with your AI ecosystem such as excessive permissions, sensitive data exposure, and more.
- Uncover potential exposure and lurking risks before bad actors do. Perform automated penetration tests on your AI apps and models.
- Protect your LLM-powered AI apps, models and data against runtime threats such as prompt injection, malicious code, toxic content, sensitive data leak, resource overload, hallucination, and more.
- Secure agents — including those built on no-code/low-code platforms — against new agentic threats such as identity impersonation, memory manipulation, and tool misuse.
Empower your organization to deploy AI bravely, ensuring the security of your AI innovations.
