Your data. Your model. Your control.
Every engagement is built with governance and security designed in from day one — not bolted on at launch. Below is how we handle data isolation, RAG architecture, vector databases, token management, and compliance for clients in regulated and enterprise environments.
Production-grade AI infrastructure, not prompt-stitching.
Vector Databases & RAG Isolation
Each client gets a dedicated, isolated vector database (Pinecone, Weaviate, pgvector, or Qdrant — chosen per engagement). Embeddings are namespaced per client, never co-mingled. Retrieval-Augmented Generation (RAG) pipelines run inside your VPC or our SOC 2-aligned environment — you pick.
- → Per-tenant namespace isolation
- → Encryption at rest (AES-256) + in transit (TLS 1.3)
- → Source documents never leave approved storage
- → Configurable retention + right-to-delete
Token Management & Cost Controls
AI cost-per-call adds up fast. We instrument token consumption at the application layer with hard budgets, per-user rate limits, model routing (cheap models for cheap tasks), and cost alerts wired into your existing observability stack. You always know what you are spending and why.
- → Per-tenant + per-feature token budgets with hard caps
- → Model routing (small models for routing, large models for reasoning)
- → Prompt + context caching to reduce duplicate token spend
- → Cost dashboards exported to Datadog, Grafana, or your tool of choice
PII Handling & Data Classification
Personally Identifiable Information is classified, redacted, or tokenized at ingest. We never feed raw PII to third-party model providers without explicit DPA coverage and client sign-off. Data flows are documented and reviewable.
- → Automated PII detection at ingest (regex + ML classifiers)
- → Redaction or tokenization before LLM calls
- → Documented data flow diagrams for every engagement
- → HIPAA + GDPR + CCPA-aware patterns where relevant
Access Control & Audit Logging
Every action against your AI infrastructure is logged with actor, timestamp, action, and outcome. Role-based access control with least-privilege defaults. SSO via your IdP (Okta, Azure AD, Google Workspace).
- → Immutable audit logs (90-day default, configurable)
- → SSO + MFA enforced
- → Role-based access with least-privilege defaults
- → Automated quarterly access reviews
Model Evaluation & Drift Monitoring
We benchmark every AI agent on a labeled eval set before launch and re-run quarterly. Production accuracy, hallucination rate, and latency are tracked per workflow. Drift triggers retraining or prompt refinement, not silent degradation.
- → Pre-launch eval suite tied to business KPIs
- → Continuous accuracy + hallucination monitoring
- → Quarterly model + prompt re-evaluation
- → Automated rollback on regression
Security & Compliance Audit
Before any production deployment, we run a structured Security & Compliance Audit covering data flows, access controls, third-party model exposure, retention policies, and incident response. Output: a written diagnostic plus remediation checklist your CISO can sign off on.
- → Pre-deployment security review
- → Third-party LLM exposure mapping
- → Data retention + deletion policy review
- → Incident response playbook customized per client
Aligned with the standards your buyers ask about.
SOC 2 Type II
Aligned posture; report available under NDA on request.
HIPAA-ready
BAA available for healthcare engagements.
GDPR + CCPA
Data subject rights workflows built in.
NDA on every engagement
Mutual NDA standard before discovery starts.
Need documentation for procurement?
We provide signed NDA, security questionnaire (SIG Lite, CAIQ, or custom), data flow diagrams, and a Security & Compliance Audit summary on request. Most procurement teams get what they need in 48 hours.
Email procurement docs request