Solutions
Independent assurance for high-risk AI
One assessment core, applied to your regulatory context. Start with how an assessment runs, or jump straight to the part that matters to you.
Explore
Five ways into the same assessment
Each page stands on its own. Read them in order for the full picture, or go straight to the one your role cares about.
- 01
How It Works
The five stages of an assessment, from connecting a system through to a sealed report, and the artefact each stage produces.
- 02
Why Entercept AI?
What independence, evidence and verifiability actually buy you when a regulator, an auditor or an enterprise buyer starts asking questions.
- 03
The Platform
The assessment engine, detector framework, evidence pipeline, audit trail and regulatory mapping that carry an assessment end to end.
- 04
Sectors
Financial services, healthcare, insurance, government, human resources and the wider public sector, each with its own regulatory overlay.
- 05
Lifecycle
Why assurance is a cycle rather than a certificate, and what triggers a re-assessment as models, data and regulations move.
Design commitments
Built so the record holds
Three commitments shape every part of the platform. They are what make an Entercept assessment usable as evidence rather than marketing.
Observation, not attestation
The platform tests how a system actually behaves. Documentation and questionnaires are inputs to the assessment, never a substitute for it.
Reproducible by construction
Methods are versioned, inputs are recorded and runs are deterministic where the system allows. A reviewer can repeat an assessment and reach the same result.
Separation from delivery
Assessment, evidence and reporting are separate stages with separate controls. Nothing downstream can quietly rewrite what was observed upstream.
Ready to see Entercept in action?
See how independent, evidence-backed assurance works on a real high-risk AI system, then get an audit-ready report your regulators, board and customers can rely on.