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4:00 PM CET, 11:00 AM EDT, 8:00 AM PDT
The Foundational AI Governance Gap: Your Asset Inventory
- Learn why asset intelligence, a continuously deduplicated and reconciled view of what exists in an environment, has become a precondition for effective AI security and governance
- Understand how AI agents, service accounts, and API keys create a non-human identity population that traditional governance processes were not built to govern
- Get practical guidance on sequencing an asset intelligence investment ahead of your AI governance controls
AI and AI agents are entering the enterprise faster than most organizations can inventory them, compounding a visibility gap that predates AI by a decade. Recent research bears this out: 96% of organizations already use AI agents in some capacity, yet only 45% have consolidated their asset and exposure data into a single view. Most AI initiatives are being built on top of this asset inventory gap which does not stay contained once autonomous agents begin acting on the assets they are configured to reach.
This webinar examines asset intelligence from two directions that converge on the same dependency. AI agents, service accounts, and API keys must be governed as identities, since they carry privilege and multiply outside the processes designed for human joiners, movers, and leavers. At the same time, any agent reasoning over enterprise data is only as reliable as the assets it can reach, which makes data quality and ownership a precondition for trusting what an agent does. This session will lay out what a continuously updated and reconciled asset and identity model needs to deliver.
Matthew Gardiner, Fellow Analyst at KuppingerCole Analysts, will present the central argument for treating asset intelligence as a prerequisite investment for AI security and governance. He will cover the distinction between aggregating asset data and reconciling it, the scale problem posed by non-human identities, and how KuppingerCole's six category framework for agentic AI security depends on a reconciled asset model underneath it.
Joshua Donelson will provide the vendor perspective, describing how the Axonius Asset Cloud extends its reconciled asset model to AI specific assets, including agent inventories, AI application usage, and natural language querying through the Axonius MCP Server and AI Agent. He will also speak to how customers are using asset intelligence to close visibility gaps before layering AI specific governance controls on top.
Who should attend
This webinar is designed for CISOs and security leaders; asset management, vulnerability management, and exposure management teams; IAM and identity security professionals; AI governance and GRC leaders; enterprise and security architects; and technology strategy stakeholders responsible for the security and governance of IT assets, SaaS, and agentic AI systems.
