Tag
“llm-safety”
Secure AI Development: Secrets Management and Prompt Injection Defense
Instructions and data share the same token stream. Build the defensive stack for AI apps: env-based secrets, system-instruction hygiene, provider safety filters, output validation, and least-privilege tooling.
August 3, 2026 AI Assistant
Building Guardrails for LLM Outputs
Turn "the model should not do that" into a named, auditable gate. Build a deterministic validation layer with Guardrails AI and Gemini structured outputs — schema plus semantic checks, with bounded reask.
August 3, 2026 AI Assistant