Date: June 25, 2026
Time: 9:30 AM EDT | 8:30 AM CDT | 7:00 PM IST
Topic: Converged Enterprise: Integrating Cybersecurity, AI & Portfolio Execution
Abstract:
Many cybersecurity strategies fail not because organizations lack intent, but because they struggle to operationalize strategy through structured enterprise execution. As enterprises become increasingly complex and AI-driven, cybersecurity can no longer operate as an isolated technical function. It must become integrated into enterprise portfolio governance, delivery operating models, AI-enabled visibility frameworks, and measurable value realization systems.
This session introduces the concept of the converged enterprise, an operating model where cybersecurity, AI, governance, and enterprise delivery execution function as a unified strategic capability. Participants will explore how leading organizations are closing the strategy-to-execution gap by establishing structured security portfolio operating models, standardizing enterprise metrics, and leveraging AI-driven visibility to improve decision-making, predictive governance, and execution transparency.
The discussion will demonstrate how dashboard-driven governance, integrated reporting, and portfolio-level execution management can transform cybersecurity from reactive expenditure into a measurable enterprise value architecture. Attendees will also gain insight into how AI-enabled delivery intelligence and predictive performance management are reshaping the future of enterprise cybersecurity operations and strategic governance.
By aligning cybersecurity initiatives with enterprise delivery frameworks, portfolio management disciplines, and executive governance models, organizations can improve resilience, execution maturity, and measurable business outcomes at scale.
Key Takeaways:
- Closing the strategy-to-execution gap in enterprise cybersecurity programs
- Designing structured security portfolio operating models aligned with enterprise objectives
- Standardizing governance metrics for measurable execution visibility and business outcomes
- Leveraging AI-enabled visibility and predictive governance for enterprise decision-making
- Aligning cybersecurity initiatives with portfolio management and enterprise value realization frameworks
Speaker:
Michael Shost, Enterprise AI, Delivery, & Security Executive
Bio: Michael Shost is an executive leader in Enterprise AI, Delivery, Security, and Strategic Transformation with more than 25 years of experience designing and operating large-scale, high-impact technology and enterprise modernization initiatives.
A former software engineer and globally recognized PMO, portfolio management, and enterprise delivery leader, Michael specializes in integrating artificial intelligence, machine learning, cybersecurity, and governance into enterprise operating models to improve execution precision, strategic visibility, resilience, and measurable business outcomes.
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 and portfolio frameworks to drive measurable value realization at scale.
Michael is also the architect of the Agentic AI-Driven Enterprise Delivery Model, an advanced operating framework that embeds AI agents into portfolio, program, project, governance, and enterprise execution functions. He is a Certified Chief Information Security Officer (C|CISO), Certified Ethical Hacker (C|EH), and PMI-certified executive leader (PMP, ACP, RMP). Michael is also an international bestselling author and a frequent speaker on AI-enabled enterprise leadership, cybersecurity governance, enterprise delivery transformation, and the future of intelligent operating models.
