Building an AI Governance Framework in 90 Days

GenAI Assure™ provides a pragmatic 30‑60‑90 day plan that links governance policies, technical controls, monitoring, and evidence into an auditable operating model for organisations that deploy third‑party AI tools.

Days 1—30 — Foundation

• Sponsor identification and charter establishment
• AI Use Policy development and approval
• Value & Risk Assessment rubric implementation
• Exception workflow definition
• Shadow‑AI discovery initiation
• Sanctioned tool catalog creation
• SSO/MFA for approved tools
• AI log routing to SIEM (WORM configuration)
• Baseline DLP policy implementation
• DPIA/FRIA trigger list establishment
• RoPA initiation
• Trust & Safety awareness campaign launch

Days 31—60 — Core Controls

• DPIAs for top 10 use cases
• Vendor risk assessments and reviews
• Shadow‑AI Triage Playbook development and deployment
• Control deployment (GA‑PG/TP/DM/DC/RR/RB)
• Output and bias monitoring implementation
• Role‑based training and attestations
• Explainability profile development
• Transparency labels deployed to production

Days 61—90 — Optimization & Scale

• Discovery process automation
• Dashboards: deployment and configuration
• Evidence Pack creation per tiered SLA
• Internal audit dry‑run
• Tier finalisation and documentation
• Scale roadmap development
• Continuous‑improvement feedback loop

Controls & Evidence in GenAI Assure™

• GA‑PG‑001 Policy & Governance — policy, lifecycle gates, exception workflow
• GA‑TP‑001 Technical Protection — SSO/MFA, SCIM, vaulted secrets & ≤90‑day token rotation, AI‑aware DLP, egress allow‑list, webhook blocking, TLS/KMS baselines
• GA‑DM‑001 Detect & Monitor — AI event schema; detections for PII, new/changed webhooks, bulk transfers; dashboards incl. Shadow‑AI coverage & policy‑violation trends
• GA‑DC‑001 Documentation & Compliance — tiered Evidence Pack contents incl. policies/approvals, RoPA, DPIA/FRIA, transfer register, notices, SIEM/DLP exports, WORM proof, sanctioned catalog, discovery results, vendor files, labels/screenshots, explainability profiles
• GA‑RR‑001 Response & Remediation — AI‑specific runbooks; redress
• GA‑RB‑001 Resilience & Business Continuity — fallback modes, continuity testing

Evidence Automation Pattern

Sources: SIEM, DLP, CASB/proxy, IdP, ticketing/GRC, SaaS AI admin APIs, vendor portals. Storage: WORM/object with SHA‑256. Correlation keys: use_case_id, control_id, vendor_id, token_id, connector_id, timestamp, decision.

Success Milestones

• Day 30: AI Use Policy approved; sanctioned catalog with SSO/MFA; Shadow‑AI discovery operational; initial SIEM logging & DLP deployed.
• Day 60: DPIAs for top 10 use cases; vendor risk assessments complete for critical tools; Shadow‑AI Triage Playbook operational; role‑based training launched.
• Day 90: Dashboards operational; evidence automation functioning per SLA; internal‑audit readiness demonstrated; continuous‑improvement loop established.

GenAI Assure™ is security‑led and technology‑agnostic, focused on AI deployers. The 30‑60‑90 plan implements an AI Management System with quarterly checks and annual review.