PART 1: Leadership Panel: The End of Cyber Metrics: A Visibility-Driven Governance Model

Traditional cyber metrics—patch rates, compliance, training—no longer reflect risk in dynamic, distributed environments. As AI-driven anomalies and software supply chain failures show, governance must shift to visibility and accountability across assets, dependencies, and owners. This panel will present a new model for resilient oversight.

Moderator: Adam Hickey, Partner, Mayer Brown LLP

Panelists: Jordan Rae Kelly, Senior Managing Director and the Head of Cybersecurity for the Americas, FTI Consulting; Sam Singer, Chief Counsel, Cyber and Technology, The Boeing Company; Bryan Vorndran, Deputy CISO, Microsoft Corp

Session 1: Fragile by Design: Large-Scale Evidence of Supply Chain Risk

Analysis of millions of binaries across firmware, containers, applications, and cloud workloads shows systemic risk: 88% contained vulnerabilities; more than half had hardcoded credentials, and nearly a third exposed private keys. This session presents aggregated findings on the fragility of the global software supply chain.

Speaker: Thomas Pace, CEO, NetRise

Session 2: Quantifying and Reducing Risk in Operational Technology

For decades, OT cybersecurity has lacked one metric that executives, boards, and insurers rely on most: quantifiable risk. This session discusses the analysis of the financial impact of global OT cyber incidents and measurable risk reduction. The findings show how controls such as incident response planning, defensible architecture, and network visibility translate into billions in avoided losses.

Speaker: Mark Stacey, VP, Risk and Resilience Solutions, Dragos and Jim Aldridge, Cybersecurity Advisor, Marsh

Session 3: Intelligent Cybersecurity: Automation for Resilient Compliance

Automation is foundational to modern cybersecurity. This session presents structured methods for embedding automation and AI-assisted analytics into compliance, incident detection, and enterprise resilience. Drawing from my published frameworks (CGCIM and ICDA), I will show how automation streamlines reporting, strengthens anomaly detection, and scales governance across multi-cloud environments.

Speaker: Dr. Jada-Ann Riggins, Lecturer, Cloud Computing and Networking Technology, Montgomery College

Session 4: Quantum ML Unmasks Insider Threats Beyond Security Walls

Quantum Machine Learning (QML) offers a powerful new way to detect insider threats. Unlike traditional methods, QML handles complex, high-dimensional data to spot subtle anomalies. This session explores hybrid quantum-classical models that boost detection, cut false positives, and deliver real-time, actionable cybersecurity alerts.

Speaker: Sneha Rangari, Senior Cybersecurity Engineer, Visa