What this covers
From discovery to evidence-backed attack-path validation.
The platform is built as one operating model: collect context, correlate relationships, reason over possible paths, then validate what is real.
01Layer 1: Exposure Intelligence
- Discovers domains, subdomains, services, cloud edges, certificates, technologies and externally visible APIs.
- Monitors exposure drift so new assets, changed services and forgotten systems do not become silent risk.
- Turns internet-facing data into offensive context rather than a static inventory.
02Layer 2: API Behavioural Intelligence
- Maps internal and external APIs, exposed documentation, shadow APIs, zombie endpoints and API ownership signals.
- Analyses authentication, authorisation, sensitive data handling, business logic and runtime behaviour.
- Treats APIs as trust boundaries and compromise pathways, not just endpoints.
03Layer 3: Graph Intelligence
- Connects assets, APIs, identities, services, vulnerabilities, data sensitivity, owners and trust boundaries.
- Weights relationships so teams can see which combinations increase exploitability and business impact.
- Gives AI agents grounded context instead of relying on prompt-only reasoning.
04Layer 4: Offensive Validation
- Generates attack hypotheses from exposure, API behaviour, vulnerability intelligence and graph relationships.
- Runs controlled tests and deterministic validation before presenting risk as confirmed.
- Continuously reassesses findings as the environment changes.
05Operational principles
- Every result is linked to observable evidence, not just model commentary.
- AI can reason over context, but deterministic validation decides what becomes a finding.
- Scope, safety controls and approval gates keep offensive workflows authorised and auditable.
