Enterprise AI Architecture

HIPAA-Compliant AI Agent Memory

How to build HIPAA-compliant autonomous agents using Exogram Knowledge Graph tombstoning and PII semantic isolation.

01. The Architectural Threat

  • Healthcare AI agents need context to operate (RAG pipelines), but standard models have no access controls or audit trails.
  • If a patient revokes consent or a document is deleted, the raw unstructured data usually remains in the memory store, violating HIPAA right-to-forget rules.
  • CISOs cannot approve agents for healthcare because the agent's memory layer cannot be cryptographically audited.

02. The Exogram Resolution

  • Exogram enforces a hardware-level synchronization between the primary relational database (where HIPAA state lives) and the Knowledge Graph.
  • When a patient record is archived or consent is revoked in Supabase, Exogram simultaneously flips the `{"archived": true}` metadata flag on the corresponding Graph node.
  • The node becomes mathematically invisible to the agent's traversal engine instantly.
  • All evaluations are permanently logged with a `context_snapshot` proving exactly what graph edges the agent could traverse at the millisecond of execution.

Technical Implementation Blueprint

// Exogram HIPAA Tombstone Lifecycle:

1. EMR System: Patient revokes data sharing consent.
2. Exogram Ledger: fact_id=882 is flagged is_active=false.
3. Knowledge Graph: Exogram instantly patches Node 882 with {"archived": true}.
4. Healthcare Agent: Initiates Graph traversal for patient history.
5. Exogram Gateway: Enforces traversal bound {"archived": {"$ne": true}}.
6. Result: Agent cannot traverse to the revoked identity edges. HIPAA compliance maintained.

Frequently Asked Questions

Does Exogram store the actual PHI?

No. Exogram stores the cryptographic hashes and graph edges. The actual text stays in your encrypted datastores and the relationships in your secured Postgres.

Explore Other Blueprints