Exposure and asset intelligence

Turn an inventory into an explanation of business risk.

Connect CAASM-aligned asset intelligence, EASM discovery, an exposure graph and CTEM-ready workflows to show which paths can actually affect the business.

You cannot secure what you do not know exists—and you cannot prioritize what you do not understand in context.

The operating model

A living register beneath application and cloud security

Assets persist across projects and scans. EnProbe represents applications, APIs, repositories, components, cloud resources, identities, databases, networks and endpoints as canonical records with ownership, criticality and lifecycle.

Directional relationships turn that inventory into an exposure graph. They explain dependency, deployment, reachability, identity and data paths while retaining source, confidence and evidence for each mapping.

Core capabilities

What the platform brings together.

Every capability shares evidence, identity, context, workflow and audit instead of producing another disconnected queue.

CAASM

Cyber asset context

Unify asset identity, owner, environment, criticality, provider context, exposure, first seen, last seen and lifecycle.

EASM

External discovery

Map public applications, APIs, endpoints, resources and paths using resilient, scope-aware discovery and crawler evidence.

GRAPH

Relationship intelligence

Model CONTAINS, DEPENDS_ON, BUILT_FROM, DEPLOYED_TO, RUNS_ON, CONNECTS_TO, EXPOSES and ASSUMES relationships.

PATH

Compound exposures

Combine application weakness, cloud reachability, identity privilege, data sensitivity and business context.

CTEM

Continuous exposure workflows

Support repeatable discovery, prioritization, mobilization, validation and measurement of exposure reduction.

OWNER

Accountability

Route work using application, repository, account and resource ownership context while preserving workflow history.

How it works

From evidence to owned action.

  1. 01

    Discover and identify

    Create stable canonical records rather than duplicating real assets for every project.

  2. 02

    Classify and own

    Add environment, criticality, provider, purpose and accountable team context.

  3. 03

    Relate and monitor

    Link deployments, dependencies, network paths and identities with visible confidence and provenance.

  4. 04

    Prioritize exposures

    Coordinate application and cloud remediation around one explainable business-risk story.

Expected outcomes

What changes when the evidence is connected.

  • Application and cloud teams stop seeing disconnected symptoms.
  • Owners and criticality can be inherited or mapped from trusted asset context.
  • Heuristic relationships never appear as confirmed facts without source and confidence.
  • Decommissioned assets retain historical findings, evidence and audit history.
Frequently asked

Questions about exposure and asset intelligence.

Why does EnProbe need asset management if it already has projects?

Projects represent assessment work. Assets represent the real applications, resources, components and identities that persist across projects and scans.

Can one asset relate to several projects?

Yes. The canonical asset belongs to a tenant and organization and may be related to several projects or assessments without duplicating the real object.

Does EnProbe require a graph database?

Not initially. A relational asset-relationship model can provide a practical foundation. Specialized graph storage should be introduced only when query complexity or scale justifies it.

The bottom line

EnProbe turns disconnected scanners, cloud signals, asset data and expert findings into one explainable, prioritized and verifiable security program.

Discover what exists. Test what can fail. Understand what matters. Fix it with the right owner. Retest it with evidence. Prove that risk is being reduced.