Session
LLM Guardrails for Enterprise Audit: Patterns Beyond Toy Filters
Enterprise LLM applications need guardrails that survive compliance review. This talk covers production guardrail patterns using NeMo Guardrails, Guardrails AI, and Llama Guard; how to handle PII with Microsoft Presidio; prompt-injection defenses that actually work against indirect attacks; and the policy-as-code patterns that connect guardrails to enterprise governance frameworks (EU AI Act, NIST AI RMF).
Takeaways: A guardrail-stack reference. PII engineering patterns for LLM pipelines. Defenses against indirect prompt injection. A policy-as-code approach to AI governance.
Preferred length: 45 min (also 30 min).
Audience: AI engineers, security engineers, AI governance leads.
Level: Intermediate to advanced.
First public delivery: 2026.
Anwar Khan
Production AI Engineering — Agentic AI · MCP · Knowledge RAG · LLM Engineering | Speaker · Author · Mentor
Moline, Illinois, United States
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