Intended use
Define the approved business purpose, user, data, output and decision boundary before deployment.
AI, Data & Security Governance
Human accountability around intelligent systems.
A public framework for intended use, prohibited use, approval, validation, privacy, security, monitoring and incident response.
Control framework
Ten controls for responsible AI-enabled operations.
Actual system controls must be mapped, tested and evidenced per product or client environment.
Prohibited use
Do not use AI for unlawful discrimination, deceptive profiling, unauthorised surveillance, credential decisions without human review, or purposes outside approved scope.
Human approval
Require an accountable person for consequential hiring, compensation, employment, legal, financial, security and risk decisions.
Model validation
Test suitability, accuracy, robustness, failure modes and change impact against the intended context.
Bias testing
Evaluate outcomes and error patterns across relevant groups; investigate material disparities before use.
Explainability & uncertainty
Show rationale, source, confidence and material limitations; avoid precision that the evidence cannot support.
Data minimisation
Use only necessary data, with defined purpose, consent / lawful basis, retention, deletion and processor obligations.
Access & audit
Apply least privilege, role separation, secure identity, logging and traceability for sensitive data and material outputs.
Incident response
Maintain detection, containment, escalation, investigation, communication and regulatory reporting paths.
Vendor governance
Assess providers, models, subprocessors, data location, change notices, security, exit and evidence rights.
Decision gates
No production AI feature without an accountable release path.
These gates are a governance model; implementation evidence must be retained.
Transparency statement
What this page does not claim.
Clikin Tech does not imply ISO 27001, SOC 1, SOC 2 or another certification unless a current certificate is explicitly published. This framework is not legal advice or a substitute for a system-specific security and privacy assessment.
Map this framework to an actual workflow.
Define purpose, data, model, human approval, audit and incident evidence before production use.