Protected AI inputs
Detect and replace configured personal identifiers before approved models, RAG pipelines or tools receive the data.
Add sensitive-data protection, access policy and traceable evidence to connected AI workflows. Securelay supplies the technical data-control layer alongside your legal, risk and AI teams.
Start with one workflow, connect the systems in scope, and expand only after the control has been tested.
Detect and replace configured personal identifiers before approved models, RAG pipelines or tools receive the data.
Apply role, purpose, consent and data policy to protected disclosures on integrated AI paths.
Record protected-path decisions, providers and transformations so teams can review permitted and refused data access.
Export value-free audit records for technical reviews and supporting documentation, without copying sensitive values into receipts.
Work with your legal and AI teams to identify the relevant systems, responsibilities and data controls.
Connect selected workflows and configure de-identification, provider, consent and access rules.
Review allowed and refused disclosures and their evidence with the responsible team.
EU AI Act duties depend on your role and AI use case. Securelay provides configured data controls and evidence, not model-risk classification, bias testing, AI literacy training or conformity certification. Wider human oversight and transparency require separate work.
European Commission: EU AI Act overviewExplore the primary sources and practical implementation decisions in our field notes.
