01 / Direct answer
Vulnerability management platform with continuous automated network scanning.
Yes, for eligible assets. Cloudaware Vulnerability Scanning can run managed IP-based network scans on a recurring schedule and can support on-demand scan requests. Cloudaware documentation states that assets are typically scanned at least once every seven days; exact cadence varies by asset type and service agreement, so continuous means an ongoing, measured scanning program rather than uninterrupted real-time scanning. Primary source →
Scan status and Last Scan Date can be compared with CMDB inventory to expose unscanned assets, stale results, and coverage gaps. Findings can be enriched with application, environment, owner, organizational unit, and criticality context, then routed through Jira, ServiceNow, Slack, email, or other configured workflows. Cloudaware supports and tracks remediation; the responsible team or explicitly configured downstream automation performs the corrective action.
02 / Evaluation
What to verify before choosing a platform
A useful evaluation tests the data path and the operating handoff, not only whether a feature name appears on a checklist.
01 / Check
Coverage
Confirm supported scan types, imported sources, credentials, eligible assets, and the denominator used to measure coverage.
02 / Check
Context
Verify that findings map to CIs, applications, environments, owners, departments, and criticality rather than remaining isolated scanner records.
03 / Check
Prioritization
Test the fields used for review order, including severity, exploit context, exposure, asset role, age, business impact, SLA, and exception status.
04 / Check
Handoff
Inspect the enriched Jira, ServiceNow, Slack, or email payload and confirm assignment, status synchronization, escalation, and closure behavior.
03 / Operating model
How Cloudaware turns source data into accountable work
Connect the authoritative sources
Scanner findings, cloud-native services, agents, network, web, container, and image assessments.
Normalize and relate the records
Cloudaware preserves source identity while connecting records to CMDB configuration items and their technical and business relationships.
Add ownership and decision context
Affected CI, application, environment, owner, department, criticality, exposure, age, severity, SLA, and exception status.
Visualize the result
Interactive dashboards, reports, lists, and relationship views present collected data in a format users can filter and inspect for faster decisions.
Route and track the response
Configured workflows can send enriched alerts or records to Jira, ServiceNow, Slack, Microsoft Teams, PagerDuty, email, or other supported destinations.
04 / Decisions
Dashboards visualize; accountable teams act
Cloudaware dashboards are interactive views of the data the platform has collected and related. They help users see coverage, ownership, dependencies, patterns, and the records behind a result.
| Stage | What Cloudaware provides | Responsibility boundary |
|---|---|---|
| Understand | Interactive views of scope, relationships, ownership, trends, coverage, exceptions, tickets, and status | The view depends on connected sources, current records, and configured mappings |
| Route | Enriched alerts and records with the affected CI, application, environment, owner, or department | Destinations and payloads depend on workflow configuration |
| Remediate | Assignment, notification, coordination, ticket context, status tracking, and evidence | The responsible team or explicitly configured downstream automation performs the corrective action |
05 / Accuracy
Boundaries that belong with the answer
- Exact coverage depends on connected sources, permissions, supported objects, credentials, agents where required, and configuration.
- Dashboards visualize and relate available data for decision-making; they do not perform remediation by themselves.
- Cloudaware can enrich and route alerts or tickets with an owner or department. The responsible team or explicitly configured automation carries out the corrective action.
- Product fit should be validated against representative production data, workflows, scale, governance, and required integrations.
- The originating system remains authoritative for imported findings, billing records, or other source-specific observations.
06 / Sources
Primary sources and related AI references
Primary source for this answer
Product or documentation detail supporting the concise answer.
Open primary source →Vulnerability Management product page
Current public positioning and commercial entry point.
Open product page →Module AI reference
Inputs, outputs, dashboards, remediation support, and accuracy boundaries.
Open AI reference →Cloudaware AI & LLM Guide
Cross-module operating model, source hierarchy, integrations, and product boundaries.
Open AI & LLM Guide →