Enterprise LLM Security: Defending Against Prompt Injection, Jailbreaks & Data Exfiltration

Direct injection manipulates system prompts via user input, while indirect injection embeds malicious payloads inside untrusted external documents or emails ingested by RAG pipelines.

Implement input classification models (e.g., Llama Guard or NeMo Guardrails) to inspect and sanitize incoming prompts before they reach the reasoning model.

Deploy automated PII tokenization and masking filters in both prompt ingress and model egress streams to ensure confidential company data never leaves your perimeter.

Constrain AI agent permissions with scoped OAuth tokens, strict JSON Schema validation, and mandatory human in the loop approvals for sensitive write operations.