Security & Governance

Privacy-First Analytics: Differential Privacy in Real Production Systems

5 min read

How three of our clients shipped real differential-privacy systems in 2026.

  1. 01Define the privacy budget per query class

    Epsilon = 1.0 for aggregate dashboards; 3.0 for ad-hoc analysis.

  2. 02Use OpenDP or Tumult Analytics

    Production-grade libraries; do not roll your own noise.

  3. 03Ship through a query gateway

    Centralized budget tracking and auditing.

  4. 04Monitor budget exhaustion

    Alert at 80% consumption per analyst per quarter.

Compliance-Grade RAG PipelineSOC 2 + audit-trail architectureDocuments14K pagesChunkingHierarchicalEmbeddingsVoyage-3pgvectorOn RDSRerankCohere v3Claude 3.7Citation-disciplinedAUDIT TRAIL · Every query → S3 Object Lock · 7-year retentionQuestion · Retrieved chunks (hashed) · Prompt version · Model version · Final answerZero audit findings · Q1 2026 SOC 296.4% answer satisfaction · 2,400+ queries/month · p95 retrieval 180ms
The compliance-grade RAG architecture Ohveda deployed for a regulated FinTech in Q4 2025.

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