External exposure
Discuss internet-facing domains, services, applications, APIs, certificates, cloud exposure and forgotten development surfaces.
Explore external exposure →BotXpose connects external and internal discovery with correlation, AI-assisted analysis, mandatory human review and evidence-led priority—then guides remediation while customer teams retain control.
The visual model shows the intended product flow. Exact automated capabilities, supported sources and integration status require product-owner validation.
Internet-facing and internal signals enter one exposure graph.
EXTERNAL + INTERNAL
Discuss internet-facing domains, services, applications, APIs, certificates, cloud exposure and forgotten development surfaces.
Explore external exposure →Discuss internal APIs, repositories, enterprise content and sensitive-access paths only where an approved data source and architecture exist.
Explore internal exposure →Collect in-scope external and internal exposure signals from approved sources.
Connect assets, identities, services, ownership and technical context.
Use AI-assisted analysis followed by manual security-team review.
Consider reachability, affected context and potential impact rather than severity alone.
Provide prioritized evidence, guidance and ownership context while changes remain under customer control.
BotXpose uses AI-assisted analysis to validate and contextualize exposure evidence. Every AI-identified issue is manually reviewed by Botnet Security’s security team before it is presented to the customer.
These are product-architecture subjects from the Master Specification, not claims that every production integration exists today.
We will confirm the use case, available sources, architecture and current product support before representing a deployment path.