Secure LLM Development
Ship AI Features Secure by Default
Datamart engineers build LLM features with input validation, output filtering, prompt hardening, and tool gating from line one.
Build With DatamartPractices We Apply
Threat-Modeled Architecture
STRIDE plus LLM-specific threat modeling before a line of code is written.
Input Validation & Output Filtering
Strict allow-lists, content classifiers, and structured outputs validated against JSON schemas.
Secrets & Identity Management
API keys, customer tokens and user identity propagated safely, never embedded in prompts.
Tool Gating
Risk-tiered tool access with human-in-the-loop checkpoints for high-impact actions.
Observability From Day One
Prompt logs, output logs, cost tracking and abuse detection wired in before launch.
Secure-by-Default Templates
Production-ready scaffolds for RAG, agents and chat — security controls already in place.