Overview
Move from GenAI experimentation to production with confidence. DoiT's GenAI Governance Accelerator provides a structured, three-phase journey to embed enterprise-grade governance controls — IAM least-privilege, VPC isolation, audit logging, data residency, and regulatory compliance — directly into your Amazon Bedrock, Amazon Q, or multi-model workloads on AWS. Governance is treated as a design constraint, not an afterthought. DoiT has deployed this pattern in production for customers operating under HIPAA (healthcare SaaS), CNBV (Mexico financial regulation), and SOC 2, with architecture verified against each framework's specific auditability and data-handling requirements.
Discover We begin by auditing your existing or planned GenAI architecture against a proven governance checklist covering identity and access, data flow, model invocation logging, encryption, and your applicable compliance framework — whether that is HIPAA, CNBV, SOC 2, PCI DSS, or an internal security baseline. The outcome is a prioritized governance gap report, a risk matrix mapping each gap to a specific regulatory or security obligation, and a targeted scope for your governed proof-of-concept.
Realize We design and deploy a governance-hardened architecture on AWS aligned to your specific use case — whether that is a retrieval-augmented generation pipeline, an enterprise knowledge assistant, an AI-assisted credit decisioning workflow, or an autonomous agent system. This phase delivers a working PoC with controls embedded from the start: VPC endpoints with PrivateLink (zero public model traffic), AWS Identity Center SSO with no shared credentials, IAM roles scoped to least-privilege per service, Bedrock Invocation Logging to S3 with Object Lock in COMPLIANCE mode for tamper-proof audit records, KMS encryption at rest, Bedrock Guardrails for content and topic controls, and CloudTrail coverage across all model API calls. Your team is upskilled on how each control satisfies your specific regulatory obligations — for example, how S3 Object Lock satisfies CNBV's tamper-proof decision record requirement, or how HIPAA-eligible service selection maps to your BAA obligations.
Launch We harden and productionize the validated architecture, delivering a complete governance foundation your team can own and scale. Deliverables include production-ready Infrastructure as Code (IaC) templates, architecture documentation with per-control compliance rationale, Bedrock Guardrails configuration, observability dashboards for model usage, latency, and cost, and a runbook for ongoing audit, incident response, and evidence collection for SOC 2 or regulatory examination.
Highlights
- Governance baked in, not bolted on Working with DoiT architects who have deployed governed GenAI systems in production for HIPAA-regulated healthcare platforms, CNBV-regulated financial institutions, and SOC 2 environments, you'll design a GenAI architecture on AWS where every control — VPC isolation, IAM scoping, invocation logging, tamper-proof audit records, and content guardrails — is a first-class architectural decision from day one, not a post-deployment patch.
- Through hands-on working sessions and architecture refinement, your GenAI system reaches production with CloudTrail audit trails, immutable decision logs via S3 Object Lock (COMPLIANCE mode), Bedrock Guardrails, and Identity Center SSO already in place — so your first production deployment is also your first compliance-ready deployment, with evidence artifacts ready for regulatory examination or SOC 2 audit.
- Your team leaves with IaC templates, a governance control library mapped to HIPAA, CNBV, and SOC 2 requirements, architecture diagrams, observability configurations, and a compliance runbook — so you can extend the same governance baseline to every future GenAI workload without rebuilding the control framework from scratch.
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