BOTNETSECURITY
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BOTXPOSE / INSIDE-OUT

Connect internal knowledge without flattening its permissions.

Internal exposure is not an external scan pointed inward. Useful context may exist across internal APIs, repositories, documents, service records and cloud inventories. Each source needs an approved connection pattern, a defined data purpose and a clear answer for how source permissions are respected.

Discuss the use case Inspect the model
  1. 01Discover
  2. 02Correlate
  3. 03Validate
  4. 04Prioritize
  5. 05Guide remediation
01 / SIGNAL + CONTEXT

Inputs must carry their boundaries with them.

Each input is shown with its intended purpose and a support state. The page does not turn an architecture subject into a production claim.

01CURRENT CAPABILITY

Internal discovery

Internal exposure signals collected through a customer-approved architecture.

02CURRENT CAPABILITY

GitHub

Credential and secret exposure context within defined organization and access boundaries.

03CURRENT CAPABILITY

SharePoint

Credential and secret exposure context processed through a customer-approved architecture.

04CURRENT CAPABILITY

ServiceNow

Service and workflow context used within the approved product deployment.

02

DECISION MODEL

The graph should answer a question.

  1. 01

    Which internal source is authoritative for this relationship?

  2. 02

    What identity is permitted to retrieve and view it?

  3. 03

    Can exposure context be derived without copying sensitive content?

  4. 04

    How is ownership kept current?

03 / EXPOSURE RECORD

Evidence enters.
An owned action leaves.

BOTXPOSE / INTERNAL
  1. 01Source-aware internal exposure context
  2. 02Relationships between assets, identities, services and owners
  3. 03Data-access boundary documented with each source
  4. 04Action record linked to the appropriate internal workflow
04 / PRODUCT BOUNDARIES

What this page does not claim.

  • Source permissions, indexing and retention remain deployment-specific.
  • Internal data must remain within the customer-approved processing boundary.
  • Azure AI Foundry and customer-controlled AI deployments are supported where required.
  • Exposure context does not authorize offensive testing.
PRODUCT CONVERSATION

Confirm the use case before promising the connector.

We will establish the exposure question, approved sources, data boundary and current support status before representing a deployment path.

Request product briefing Contact the team