Securing AI in Motion: Gigamon Deep Observability for WWT ARMOR
Event Overview
Gain insights into Gigamon’s role in strengthening AI security through improved network visibility, alongside WWT’s AI Readiness Model for Operational Resilience (ARMOR) framework. Kent Noyes (WWT), Bassam Khan (Gigamon), and Istvan Berko (WWT) discuss how rapid AI adoption is expanding the attack surface and why organizations need governance, data controls, and visibility into data flows to innovate securely. The session outlines ARMOR’s focus areas (including governance/compliance, model protection, data security operations, and secure development lifecycle) and explains how Gigamon’s east-west traffic visibility and metadata extraction can support detection, investigations, and AI-driven analytics for SOC and operational use cases.
Featured Speakers
What to expect
- AI Security Readiness: How to approach AI adoption with a structured framework that balances innovation, governance, and risk.
- ARMOR Framework Foundations: Key domains for securing AI across data, models, and operations without slowing business momentum.
- Deep Network Visibility: Why east west visibility is critical for detecting hidden risks, unsanctioned AI activity, and lateral movement.
- Secure AI at Scale: How organizations can enable teams to move fast with AI while maintaining control and resilience.
- Operational Resilience for AI: Practical considerations for building a scalable, secure foundation to support long term AI growth.
Goals and Objectives
Understand how WWT and Gigamon’s structured AI security approach combines the ARMOR framework with deep network visibility to address the operational and strategic demands of AI adoption—enabling secure innovation, stronger governance, and greater resilience as organizations scale AI with confidence.
Who should attend?
CISOs and Security Leaders, Security Architects, IT and Infrastructure Leaders, AI, Data, and Platform teams