IT asset discovery provides a comprehensive, continuously updated inventory of every device, application, and cloud resource in your environment — the foundational capability that enables vulnerability management, configuration compliance, license optimization, and incident response to function reliably.
Unknown assets are the most dangerous assets. Shadow IT, rogue devices, unmanaged cloud accounts, and forgotten servers are consistently the initial access points in enterprise breaches. RLM advises on asset discovery platforms and the inventory discipline that closes the visibility gap.
A structured advisory process — from security posture assessment and market evaluation to vendor selection, contract negotiation, and post-deployment validation — tailored to your risk profile and compliance obligations.
We define the discovery scope — on-premises devices, cloud accounts and workloads, SaaS applications, OT/IoT, and remote endpoints — and the discovery methods appropriate for each environment segment.
We evaluate asset discovery platforms — Axonius, Lansweeper, JupiterOne, Qualys CSAM, Microsoft Defender for Endpoint asset inventory — against your environment complexity, integration requirements, and the use cases you need to support.
Asset discovery value multiplies through integrations — feeding accurate asset data to vulnerability management, EDR, CMDB, and ITSM. We design the integration architecture that makes asset inventory the authoritative source of record.
One-time discovery is not enough — environments change constantly. We design the ongoing discovery cadence, change detection alerting, and lifecycle management that keeps inventory current.
These are the dimensions that consistently separate effective security programs from expensive ones — and the questions RLM will help you answer before any vendor commitment.
Traditional asset discovery tools don't enumerate cloud accounts, serverless functions, managed services, or SaaS usage. Evaluate CAASM (Cloud Asset Attack Surface Management) coverage alongside traditional network scanning.
Agent-based discovery provides richer data for enrolled devices; agentless discovery finds unknown and unmanageable assets. Evaluate which approach provides the coverage needed for your specific security use cases.
Asset discovery value depends on being the authoritative data source for other security tools. Evaluate the breadth of native integrations — vulnerability scanners, EDR, SIEM, CMDB — and the data model quality of exported asset records.
Operational technology and IoT devices require specialized discovery approaches — many don't support traditional scanning protocols. Evaluate specialized OT/IoT discovery capabilities if your environment includes industrial or medical devices.
Asset records from different discovery sources describe the same assets in different formats. Evaluate the platform's ability to correlate and normalize disparate data sources into unified asset records without manual deduplication effort.
Most enterprises have an existing CMDB. Evaluate the synchronization approach — bidirectional sync, conflict resolution, and the authority model that determines which system wins when data conflicts.
"RLM helped us build a security program that satisfied our board and our auditors — without locking us into a single vendor's roadmap. Their independence is the whole point."
"We had three overlapping security tools doing the same job. RLM helped us rationalize the stack, cut spend by 30%, and actually improve our detection coverage in the process."
Start with a no-cost conversation with an RLM security advisor — vendor neutral, no agenda, just clarity on where your gaps are and the right path to close them.
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