You Cannot Prioritize What You Cannot See. Most Asset Inventories Are Missing the Devices That Matter Most.

Your CMDB says one number. Your endpoint tool says another. The OT scanner says something else again, and when the IT and security teams sit down together, the first hour goes to arguing about which system is right. Meanwhile the assets nobody has an agent on are the ones quietly carrying your real exposure, because an agent-based inventory can only ever tell you about the devices you already knew existed.

In this joint session, NopSec Principal Security Solutions Architect Ian Glennon and Lansweeper Principal Technical Evangelist Esben Dochy walk through how complete asset visibility feeds a CTEM program that can actually prioritize, validate, and mobilize.

What You'll Learn

Why your existing inventory is probably incomplete: Esben explains why most organizations arrive with several partial inventories rather than one, and why none of them reconcile. Agent-based discovery is structurally blind to shadow IT, so Lansweeper combines passive network monitoring with agentless and agent-based collection to pick up IT, OT, IoT, and cloud devices regardless of whether anything is installed on them.

What depth of asset data actually looks like: A live walkthrough of the data behind a single asset, from hardware and installed patches to running processes, network interfaces, local users, and logged-in user history for ownership. Lifecycle and end-of-support enrichment is layered on automatically, so you can see which assets fall off support on a given date before that date arrives.

How asset context changes prioritization: Ian shows how NopSec applies supervised machine learning across signals from more than eighty threat intelligence sources, then weighs each finding against asset criticality, network placement, and the endpoint and firewall controls already protecting it. The output is a risk score you can roll up from a single vulnerability instance to an asset, a technology stack, or the team accountable for it. Customers can bring their own threat intelligence subscriptions in as well.

Where validation and mobilization close the loop: AI agentic adversarial emulation is a real attempt to exploit, not a model of one. It is schedulable, repeatable, scope-controlled, and it will pivot to internal resources if it can. Findings route into remediation plans and sync bidirectionally with the ticketing systems your infrastructure and application teams already work in, which gives the security team status without chasing anyone and gives an auditor evidence of a managed process rather than a raw list of detections.

Watch the Full Session

Complete visibility feeds accurate detection, accurate detection feeds prioritization with real context, and prioritization feeds validation and managed remediation. See what that loop looks like when the foundation underneath it is finally trustworthy.

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