Compliance
How to bake HIPAA, DPDP, audit logging, and consent into the first commit — not a last-mile checklist.
ICP job: Ship regulated AI without killing product velocity
Chunking, redaction, retrieval filters, and eval hooks so regulated AI answers without stuffing patient data into every context window.
Practical notice, purpose limitation, and consent patterns for AI products selling to Indian regulated buyers — without freezing the roadmap.
A decision tree for LLM vendors, subprocessors, and when synthetic data is enough — before anyone pastes real patient data into a prompt.
Shared primitives for regulated AI — access control, logs, minimization — and the jurisdiction-specific deltas US and Indian buyers actually diligence.
BAA availability, retention defaults, region options, and eval portability — how Brandlabs shortlists model providers for healthcare and regulated buyers.
What to log for HIPAA-aware LLM systems, what never to log, how long to keep it, and who can open the trail.
HIPAA and DPDP shouldn't be a last-mile checklist. Here's how we bake them into the first commit.
Planned and live topics for this pillar. Priority 1 ships first.
Query: How to audit log LLM API calls for HIPAA
What to log, what never to log, retention, and who can access the trail.
Query: When do I need a BAA for an LLM vendor?
Decision tree for vendors, subprocessors, and when synthetic data is enough.
Query: How do you build HIPAA compliant AI products from day one?
Bake HIPAA/DPDP into the first commit; contrast checklist theater vs system design.
Query: DPDP consent requirements for AI products India
Practical consent, purpose limitation, and notice patterns for Indian buyers.
Query: HIPAA vs DPDP for AI startups
Shared primitives (access control, logs, minimization) vs jurisdiction-specific deltas.
Query: Best LLM providers for HIPAA healthcare
BAA availability, data retention defaults, region, and eval portability — not model leaderboard cosplay.
Data residency without freezing the roadmap
Query: Data residency requirements for AI products India US
Region pinning, vendor contracts, and when residency is theater.
Human-in-the-loop that clinicians will use
Query: Human in the loop design for clinical AI
Review UX, override paths, and liability-aware product design.
On-prem vs private cloud for regulated AI
Query: Should healthcare AI run on-prem?
Decision matrix: latency, cost, talent, and actual compliance need vs fear.
Query: How to keep PHI out of LLM context windows
Chunking, redaction, retrieval filters, and eval hooks for leakage.
RBAC and break-glass for AI features
Query: Access control for clinical AI tools
Role scopes for copilots, admin overrides, and audit of privileged prompts.
Incident response when the model is in the blast radius
Query: LLM security incident response healthcare
Prompt injection, data exfil, wrong clinical advice — playbooks that map to existing IR.
Canonical hub: https://brandlabs.app/blog/topics/regulated-ai-architecture