Compliance-Grade Platforms
TL;DR
Your platform handles protected health data. Your compliance officer is asking about data residency attestations. Your auditor wants evidence of technical safeguards, not a policy document. We build regulated healthcare systems that pass audits because we design for compliance from the first architecture diagram, not bolt it on after the fact.
The Problem
You are responsible for a platform that stores, processes, or transmits protected health information. Your team is sharp on product but has never shipped software under a regulatory regime. You have read the HIPAA Security Rule, stared at the administrative safeguard checklist, and realized that "implement reasonable and appropriate safeguards" is not a spec.
Meanwhile, your compliance officer is preparing for a DOH audit, your legal team wants data residency attestations in writing, and your engineering team is still debating whether TLS termination at the load balancer counts as encryption at rest. No one on your current team has been the engineering lead during a regulatory audit, and you do not have six months for them to learn on the job.
The gap is not your team's talent. It is domain experience in a field where mistakes carry legal consequences and audit findings can pause a product launch. You need someone who has already made the mistakes, survived the audits, and can build the system right the first time.
Why This Is Hard
Healthcare compliance is not a single checkbox. It is a layered set of obligations that span the entire stack: access controls at the application layer, encryption at the data layer, audit logging across every service boundary, BAA management at the vendor layer, and data residency constraints that can require in-region infrastructure for every environment including staging.
Most engineering consultancies treat compliance as a documentation exercise. They write policies, hand you a SOC 2 report template, and move on. That approach fails the moment a DOH auditor asks to see the actual encryption key management procedure, or the automated evidence that access reviews happen on schedule, or the infrastructure-as-code proof that PHI never leaves the designated region.
| System Layer | Requirement | Audit Evidence |
|---|---|---|
| Application | Role-based access control, session management, PHI minimization | Access logs, role definitions in code, data flow diagrams |
| Data | Encryption at rest and in transit, backup integrity, key rotation | KMS configuration, encryption attestations, key rotation schedules |
| Infrastructure | Data residency enforcement, network segmentation, host hardening | IaC definitions, VPC/network diagrams, residency proofs |
| Operational | Change management, access reviews, incident response | Audit trails, review schedules, IR playbook execution records |
| Vendor | BAA execution, subprocessor inventory, third-party risk assessment | Signed BAAs, vendor assessment reports, data flow to subprocessors |
How Mihok Fieldworks Approaches It
We treat compliance as an engineering discipline, not a documentation exercise. Every safeguard we implement is verifiable in the infrastructure itself — not just documented in a policy file. We build for auditability from day one.
We have built and operated regulated healthcare systems that passed DOH compliance audits. We understand the difference between a policy that satisfies a checkbox and an implementation that survives cross-examination. We write the access control code, configure the KMS key policies, set up the audit log pipelines, and stay until the auditor signs off.
Our compliance-grade engineering covers:
- Architecture for regulation. Data residency at the infrastructure layer, PHI isolation at the data layer, least-privilege access at every service boundary.
- Audit trail engineering. Structured, queryable audit logs across every system component that touches regulated data, with retention that matches your regulatory obligations.
- Evidence automation. Continuous compliance evidence generation so your auditor gets machine-verifiable proof, not screenshots in a spreadsheet.
- BAA and vendor management. Technical review of subprocessor data flows and integration architecture to ensure your BAAs reflect reality, not aspiration.
- Team enablement. We do not build your platform and leave. We work alongside your engineers so they understand the compliance architecture and can maintain it after we transition off.
Proof
A digital health company came to us with a platform already handling PHI in production but no compliance architecture. They had a DOH audit scheduled in four months and no engineer on staff who had been through one. We redesigned their data layer for residency enforcement, instrumented their services for structured audit logging, and worked with their compliance officer to map every technical safeguard to a specific regulatory requirement. The platform passed its DOH audit on schedule. The evidence we built into the system means subsequent audits require dramatically less manual preparation.
