Topic: Cybersecure AI: Designing Resilient Intelligent Systems in a Hostile Landscape
Abstract: Artificial intelligence is rapidly becoming embedded in enterprise decision-making, automation, and analytics. Yet, most organizations are deploying AI faster than they can secure or govern it. Traditional cybersecurity models were not designed for adaptive, learning-based systems that evolve over time, creating a widening gap between AI adoption and enterprise risk management.
This webinar provides a structured approach to designing cybersecure AI systems at scale. It will focus on how the AI attack surface is expanding in nonlinear and often invisible ways, why legacy security and governance models fail in AI-driven environments, and how to implement a secure AI lifecycle from data ingestion through model operation. The session will also examine how governance frameworks must evolve to deliver accountability, transparency, and board-level visibility, and how organizations can operationalize AI security as a governed enterprise capability by integrating technical safeguards with execution models, oversight structures, and measurable risk management practices.
Attendees will leave with a practical AI Security Architecture Model and Risk Integration Blueprint to secure, scale, and govern AI systems with confidence through 2026 and beyond.
Key Takeaways:
- Understanding the expanding AI attack surface
- A practical architecture model for securing AI systems across the lifecycle
- Governance frameworks for enterprise and board-level AI risk oversight
- How to operationalize AI security within enterprise execution models
- A forward-looking AI security strategy for 2026 readiness
Speaker:
Michael Shos, Enterprise AI, Delivery, & Security Executive
Bio: Michael Shost is an executive leader in Enterprise AI, Delivery, and Strategy with more than 25 years of experience designing and operating large-scale, high-impact technology and transformation initiatives.
A former software engineer and globally recognized PMO and portfolio management leader, Michael specializes in integrating artificial intelligence, machine learning, and cybersecurity into enterprise operating models, enabling organizations to execute with greater precision, visibility, and resilience.
He currently serves as a Security Portfolio Leader within the PMO at Group 1001, where he aligns enterprise security initiatives with strategic priorities and has established structured governance frameworks to drive measurable outcomes at scale. Michael is the architect of the Agentic AI-Driven PMO Model, an advanced operating model that embeds AI agents into portfolio, program, and project execution. He is a Certified Chief Information Security Officer (C|CISO), Certified Ethical Hacker (C|EH), and PMI-certified leader (PMP, ACP, RMP). He is also an international bestselling author and a frequent speaker on AI-enabled enterprise leadership and cybersecurity strategy.
