FaiceTech's governance approach is based on accountability, proportionality, auditability and continuous review. The platform is designed to support organisations in making defensible decisions about sensitive technology deployments.
Governance runs through proportionate decisions, supplier oversight, auditability and continuous review.
Facial recognition deployments should be proportionate to the operational need and the sensitivity of the processing involved. FaiceTech's platform supports this through safeguards such as structured reasons, review paths, audit logging, lifecycle controls and watchlist governance.
FaiceTech assesses suppliers using a risk-based approach that considers processing purpose, data residency, transfer risk, technical and organisational measures, contractual obligations and ongoing suitability. Third-party services are used only where necessary for service delivery and are governed through supplier assurance, contractual safeguards and ongoing review.
The platform is designed to make key actions traceable and reviewable. This supports internal governance, investigations, evidential integrity and compliance reviews. Examples include structured justification reasons, audit logging, retention controls and watchlist governance.
For customer deployments, FaiceTech typically acts as a data processor. The customer remains responsible for determining the lawful basis, purpose, data privacy impact assessments (DPIA), signage, operational policies and deployment decisions. FaiceTech supports customers with technology, product knowledge and deployment guidance, but does not provide legal advice.
FaiceTech's approach is designed to evolve with operational learning, customer requirements, regulatory expectations and platform development. Governance controls are reviewed as the platform develops and as customers, regulators and operating environments raise new questions.