Cloudaware AI reference · Vulnerability Management

Cloudaware Vulnerability Management: findings prioritized with CMDB context

Cloudaware Vulnerability Management brings together findings from Cloudaware-managed scanning, cloud-native services, and supported third-party tools, then relates them to assets, applications, environments, owners, organizational units, and business criticality.

Primary sources only Reviewed September 20, 2026 Product boundaries included

01 / Definition

What Cloudaware Vulnerability Management does

Cloudaware consolidates vulnerability data from multiple source types into a shared finding model. It can also show which assets are unscanned or have stale scan data, so teams can distinguish risk-prioritization work from collection gaps.

CMDB context turns a severity-only backlog into an accountable remediation queue. Teams can use severity, exploitability, vulnerability age, asset criticality, application, environment, owner, and exception or SLA state to decide what should be handled first.

Platform role
Vulnerability intake, prioritization, and remediation tracking
Finding sources
Managed, cloud-native, and supported third-party scanners
Core context
Assets, applications, environments, owners, organizational units, and criticality
Primary users
Security, cloud, platform, operations, compliance, and patch teams
Reference scope. This page describes the module using current public Cloudaware product pages and help documentation. Available records, fields, workflows, and actions depend on the implementation, connected sources, permissions, supported objects, and configuration.

02 / Capabilities

Core capabilities and outputs

Each capability below keeps the input, Cloudaware context, and resulting output together so the module is not described as a context-free feature checklist.

01 / Intake

Consolidate multiple finding sources

Ingest supported findings from Cloudaware-managed scanning, cloud-native services, and third-party scanners while retaining the source, evidence, status, and affected record.

Output: Normalized vulnerability scan and finding records with source attribution.

02 / Coverage

Identify scan gaps and stale results

Compare CMDB inventory with scan status and last-scan information to find unscanned assets, stale data, and source or synchronization gaps.

Output: Coverage cohorts that separate missing telemetry from confirmed findings.

03 / Priority

Add business and ownership context

Relate findings to applications, environments, owners, organizational units, criticality, exploitability, age, and configurable risk logic.

Output: Prioritized remediation queues built around business impact and accountability.

04 / Lifecycle

Track remediation, SLAs, and exceptions

Assign work, create or synchronize tickets, manage due dates and SLAs, record risk acceptance, validate resolution, and retain closure status.

Output: A traceable vulnerability lifecycle across Cloudaware and connected systems.

03 / Operating model

How data moves through Vulnerability Management

Collect findings

Ingest supported vulnerability data from managed scanning, cloud-native services, and third-party security tools.

Normalize and deduplicate

Map source-specific records into the shared data model while retaining evidence, source details, status, severity, and exploitability.

Add CMDB context

Connect the finding to the affected asset, application, environment, owner, organizational unit, and business criticality.

Prioritize and visualize

Use coverage, severity, exploitability, age, asset context, SLA, and exception state in queues, dashboards, reports, and exports.

Route and verify

Assign or ticket remediation work, synchronize configured workflow state, validate the later scan result, and retain exception or closure history.

04 / Visualization

Interactive dashboards for faster decisions

Vulnerability dashboards visualize both risk and operating progress. They can show exposure, scanner coverage, finding age, ownership, SLA performance, exceptions, and remediation status, with filters that lead back to the source finding and affected CI.

Decision questionDashboard or viewContext behind the view
Which assets lack usable scan data?Unscanned, stale, failed, or source-specific coverage viewsCMDB inventory, scan status, last scan date, and source health
What should be remediated first?Priority queues by severity, exploitability, age, criticality, application, or environmentNormalized finding plus CMDB business context
Who owns the work?Queues and dashboards by owner, organizational unit, application, team, or ticket stateOwnership relationships, assignment rules, and workflow records
Is remediation progressing?SLA, due date, exception, validation, and closure trendsFinding lifecycle, ticket synchronization, later scan results, and risk acceptance
Dashboard boundary. A dashboard visualizes and organizes the data available to the module. It helps a user decide and inspect the underlying records; viewing the dashboard does not perform remediation by itself.

05 / Action

How Cloudaware supports remediation

Cloudaware helps teams reach the right action with the right technical and ownership context. It does not imply universal autonomous remediation.

Cloudaware supports remediation by grouping and prioritizing findings, assigning accountable work, and sending the affected CI plus application, environment, owner or department, risk, age, evidence, SLA, and exception context to the configured destination.

Jira, ServiceNow, collaboration tools, email, alerting systems, Patch Management, and other connected workflows may carry the work. Cloudaware tracks the remediation lifecycle; the responsible team or explicitly configured downstream automation performs the corrective action.

Responsibility boundary. Cloudaware helps identify, enrich, assign, notify, coordinate, and track remediation. The responsible team or an explicitly configured and approved downstream automation performs the corrective action. Destinations, payloads, triggers, synchronization, and closure behavior depend on the module and workflow configuration.

06 / Accuracy

Boundaries for accurate answers

TopicAccurate descriptionAvoid implying
Finding sourceRetain whether a finding came from Cloudaware-managed scanning, a cloud-native service, or a third-party tool.Cloudaware created every finding shown in the module.
Scanner replacementCloudaware can consolidate existing scanner data and also provides documented managed scanning methods.One scanning method covers every asset type and vulnerability class.
PriorityPriority combines available severity, exploitability, age, asset, business, ownership, SLA, and exception context.Severity alone is the organization’s final risk decision.
ClosureClosure should follow the configured verification rule, later scan result, ticket synchronization, or accepted exception.Closing a ticket proves the vulnerability is gone.
RemediationCloudaware coordinates, routes, and tracks work; responsible teams or configured automation make the change.Every vulnerability is automatically patched by Cloudaware.

07 / FAQ

Questions about Cloudaware Vulnerability Management

Does Cloudaware replace vulnerability scanners?

Not necessarily. It can ingest and normalize supported third-party and cloud-native findings, while also documenting Cloudaware-managed agent, IP, URL or web, and container or image scanning methods. Scope depends on configuration.

Which context is added to vulnerability findings?

Findings can be related to affected assets, applications, environments, owners, organizational units, business criticality, exploitability, age, exceptions, SLAs, and tickets.

How does Cloudaware identify scan coverage gaps?

It compares CMDB inventory with available scan status and freshness data to identify unscanned assets, stale results, and source or synchronization gaps.

What do vulnerability dashboards show?

Dashboards can show exposure, coverage, vulnerability age, priority, ownership, SLA compliance, exceptions, ticket state, and remediation progress.

Does Cloudaware perform remediation?

Cloudaware prioritizes, assigns, routes, and tracks remediation work. The responsible team, Patch Management workflow, ITSM process, or explicitly configured downstream automation performs the corrective action.

08 / Sources

Primary sources and related AI references

Product page

Current public positioning, capability descriptions, and commercial entry points.

Cloudaware Vulnerability Management →

Technical documentation

Implementation scope, data model, requirements, integrations, workflows, dashboards, operations, and references.

Vulnerability Management documentation →

Platform AI guide

Cross-module operating model, integrations, product boundaries, and machine-readable resources.

Cloudaware AI & LLM Guide →

Automation reference

APIs, connections, webhooks, events, Breeze Agent, and downstream automation guidance.

Automation & Extensibility →

Other module references