The AI gold rush is here, and your organization is already part of it.

Employees are using AI tools to move faster, automate tasks, and increase productivity. At the same time, organizations are experimenting with internal AI applications and large language models. But while adoption is accelerating, security strategies are still catching up.
The result? A growing gap between innovation and control.

Some organizations attempt to close that gap by blocking AI tools altogether—creating frustration and limiting business value. Others take a more open approach but lack the visibility and safeguards needed to manage risk effectively.

This session focuses on a better path forward: security guardrails that enable AI adoption without exposing your organization to unnecessary risk.

Join Cato Networks’ Al Pardhan and Ferroque’s Christopher Dilke as they break down the four core challenges of AI security in 2026:

• Shadow AI: Users accessing AI tools without visibility or oversight
• Data Security & Leakage: Sensitive information is being shared with external AI platforms
• Governance & Compliance: Meeting evolving regulatory requirements and frameworks
• Emerging Threats: New attack vectors introduced by AI technologies

How Cato AI Security Solves It

Together, we will discuss how to move beyond reactive approaches and instead implement proactive controls that allow your teams to safely leverage AI.

Through real-world examples and a live demo, you’ll also see how solutions like Cato AI Security, as part of a broader platform approach, can:

• Provide visibility into AI usage across users and applications
• Apply inline controls to prevent sensitive data exposure
• Enforce policies without disrupting productivity
• Support governance and compliance initiatives
• Reduce risk while enabling innovation

The AI gold rush isn’t slowing down. The organizations that succeed will be the ones that put the right guardrails in place—before risk turns into impact.

Duration: 60 minutes

Date: May 26th, 2026

Time: 1 pm EDT