Enterprise AI Security and Governance Summit 2026

Advanced artificial intelligence capabilities have fundamentally compressed the time between vulnerability disclosure and active weaponization. Adversaries can now automate exploitation techniques to immediate and wide effect, turning newly discovered security flaws into active threats in hours rather than weeks. Recognizing that uniform, compliance-based approaches to patching can no longer scale to meet this reality, new directives and executive orders, including CISA’s Binding Operational Directive (BOD) 26-04, OMB M-26-14, and EO 14409, refocus federal efforts on the immediate prioritization of cyber defense against AI-driven risks.

To meet the challenges of this shifting AI-threat landscape, public sector organizations must move toward a unified view of enterprise risk. This requires connecting previously siloed tools covering cloud infrastructure, connected on-premises servers, and external attack surfaces into a single operational plane.

This session explores how to:
•Leverage a unified Cloud-Native Application Protection Platform (CNAPP) approach to solve the complex hybrid exposure problem across legacy and modern environments.
•Integrate telemetry from existing vulnerability scanners and on-premises systems into Wiz’s Unified Vulnerability Management (UVM), translating disconnected point-solution data into centralized architectural context.
•Utilize Attack Surface Management (ASM) network path analysis to verify actual internet reachability, allowing agencies to safely implement isolating controls and extend mandatory compliance windows.
•Deploy full-stack workload visibility and identity analytics to automate remediation timeline assessments, map blast radius, track lateral movement, identify true asset ownership, and accelerate targeted forensic investigations.