Asset Coverage and Operational Visibility
Use this section to confirm the platform delivers complete and reliable coverage as part of a shared operational data foundation.
☐
Can it continuously discover assets across cloud, SaaS, on-premises, remote, and IoT environments and make that data actionable?
☐
Does it support both active and passive scanning as signal collection methods feeding the platform?
☐
Does it provide real-time visibility with continuous, normalized updates for downstream automation and decision-making?
☐
Does it offer broad integration support for existing tools and extend visibility into a governed, unified data layer?
☐
Can it identify unmanaged or previously unknown assets and immediately bring them into a system of record?
Operational Data Authority and Asset Identity
Evaluate the platform's ability to serve as an operational data authority, not just a data aggregator.
☐
Does it normalize data automatically within a common platform data model?
☐
Can it reconcile duplicates and inconsistent records to establish a single authoritative asset identity?
☐
Does it deliver clean, consolidated, decision-grade asset information ready for automation, governance, and audit?
☐
Can it aggregate data from multiple systems without manual effort while maintaining consistency and control?
☐
Does it maintain consistent asset identity across sources to support decisions, governance, and lifecycle execution?
Platform Services and Extensibility
Confirm the platform provides the shared services required to operationalize data across teams, workflows, and use cases.
☐
Does it provide a common operational data foundation that supports asset context across IT and security, with a shared operational view accessible across teams?
☐
Does it include automation services to trigger and orchestrate action based on platform intelligence?
☐
Can it surface AI-driven recommendations and actions that are grounded in real-time platform context and traceable to authoritative asset data?
☐
Does it provide governance and policy control so workflows are consistent, auditable, and scalable?
☐
Can it extend into adjacent workflows without introducing additional point tools, manual handoffs, or custom integration layers?
Risk, Context, and Action
Confirm the platform uses authoritative asset context to strengthen security and accelerate action.
☐
Does it provide a unified view of vulnerabilities and exposures grounded in trusted asset identity?
☐
Can it aggregate results from multiple scanners into a single operational view?
☐
Does it map risks directly to affected assets within the same system that enables action?
☐
Can it prioritize remediation based on impact using platform-level context rather than siloed findings alone?
☐
Does it give teams a centralized view that supports guided and actionable next steps, not just reporting?
Automation, Governance, and Closed-Loop Execution
Check for capabilities that turn visibility into measurable outcomes.
☐
Can it trigger automated remediation workflows using built-in, admin-controlled automation services?
☐
Can it connect discovery signals directly to patching, compliance, and remediation actions without manual handoffs?
☐
Can it enforce configuration and policy requirements using platform governance tied to authoritative data?
☐
Does it support automated lifecycle steps across IT and security as part of a closed-loop operational system?
☐
Does it integrate with ITSM, UEM, CMDB, cloud, and IoT systems while maintaining centralized control and execution?
Operational Fit for Mid-Market Teams
Validate ease of adoption and long-term efficiency at the platform level — not just at the feature level.
☐
Is it simple to deploy and easy to maintain as a unified platform rather than a collection of point solutions?
☐
Does it reduce manual reporting and reconciliation work by establishing a single operational authority for data and action?
☐
Does it lower tool sprawl by consolidating ingestion, intelligence, and execution into one platform?
☐
Does it deliver quick time to value because trusted data can immediately drive action?
☐
Does it scale without added complexity because capabilities are native to the platform, not bolted on?
Ivanti Neurons Platform: What it delivers
✓
Continuous visibility — See all assets across cloud, SaaS, on-premises, remote, and IoT environments through continuous discovery and signal ingestion.
✓
Structured system of record — Normalize and reconcile data into a persistent asset record, where ITAM provides the structured data layer that supports the platform's system of record.
✓
Context and relationships — Enrich asset records with real-time platform context, linking risk, usage, and operational relationships to support accurate, governed decision-making.
✓
Action with control — Turn context into outcomes through guided, assistive, and admin-controlled workflows, ensuring human-in-the-loop execution grounded in accurate, actionable data.
✓
Extensibility across the platform — Extend and integrate through APIs, connectors, and platform services without breaking the system of record or introducing fragmentation.