AI for Security vs Security for AI with Palo Alto Networks

Details

Event Overview

Join WWT and Palo Alto Networks for an insightful discussion about how AI is transforming organizations and reshaping today’s cybersecurity landscape. Learn how Palo Alto Networks comprehensive platform approach combined with WWT’s ARMOR framework and ATC validation capabilities, helps customers secure every aspect of AI usage from development to deployment and beyond.

Featured Speakers

Peter Black

World Wide Technology

Practice Director | Secure Platforms

Peter Black has led highly specialized teams of Security Architects specializing in Palo Alto Networks, Fortinet, Zscaler, Cisco, and IBM. Peter...

Aaron Mayson

World Wide Technology

Strata & SASE Consulting Partner Architect

Aaron Mayson is a Partner Architect for Palo Alto Networks Strata and Prisma SASE lines of business. He is located in the Austin, Texas, with an im...

Alex Hostetter

Palo Alto Networks

Alex Hostetter is a Prisma AIRS Partner Specialist at Palo Alto Networks, specializing in securing artificial intelligence. He has over a decade of...

What to expect

As AI becomes embedded in critical business and security workflows, this session explores why securing AI is no longer a future concern—but a present‑day imperative. The conversation frames AI as both a powerful enabler and an expanding risk surface, highlighting real business impacts such as data leakage, loss of control over AI behavior, and lack of visibility across the AI lifecycle. Attendees gain a strategic perspective on how a platform‑based approach—combining Palo Alto Networks’ AI security capabilities with WWT’s AI Readiness Model for Operational Resilience (ARMOUR)—helps organizations assess risk, embed security early, and confidently accelerate AI adoption at scale.

Clarify AI for Security vs. Security for AI – Understand the critical distinction and why securing AI itself is now as important as using AI to enhance security operations.
Explore real-world AI risk and business impact – Learn how data leakage, loss of control over AI behavior, and lack of visibility translate into brand, regulatory, and operational risk.
Gain a framework-driven approach to AI readiness – See how WWT’s ARMOUR model helps organizations assess AI risk, prioritize gaps, and embed security across the AI lifecycle.
Learn why platform-based security matters for AI at scale – Discover how an integrated platform approach improves consistency, visibility, and enforcement as AI adoption accelerates.

Goals and Objectives

This discussion will frame the business challenge of AI adoption, distinguish between AI for Security and Security for AI, and position Palo Alto Networks and WWT as trusted guides for secure, scalable AI adoption. WWT and Palo Alto Networks reframe AI security challenges around real outcomes such as data protection, brand trust, and operational resilience. Viewers will learn how they can accelerate AI adoption confidently by embedding security early and executing it at scale through a platform-based model.

Who should attend?

CIOs, CTOs, and CISOs of organizations across various industries. Cybersecurity professionals, including security analysts, incident response teams, and security operations personnel. IT leaders and decision-makers responsible for implementing and maintaining robust cybersecurity measures. Enterprise IT & Security Teams. Data Scientists. Technical Leads.