Enforce LLM security outside the model

Summary

In production agentic systems over sensitive data, prompt-based controls fail at scale. Moving security enforcement to code forces explicit threat modeling and eliminates the class of prompt-injection and model-hallucination vulnerabilities that bypass guardrails.

Why it matters

In production agentic systems over sensitive data, prompt-based controls fail at scale. Moving security enforcement to code forces explicit threat modeling and eliminates the class of prompt-injection and model-hallucination vulnerabilities that bypass guardrails.

Sources

1. 1.Any control that lives inside the prompt can be talked out of.
2. 2.every control that actually matters is deterministic and lives outside the model. The model proposes; code disposes.
3. 3.The wall is the database grant. The connection the agent uses is a role with SELECT on exactly those tables and no write privilege anywhere. If the validator has a bug, and validators have bugs, the database still physically cannot be written through that connection.
4. 4.Treat the LLM like untrusted user input. It is a remarkably capable, remarkably persuasive source of untrusted strings.
5. 5.The moment a restricted chunk enters the context window, it is disclosed, whatever the model says next.