Guardrails & Safety
Exogram vs Prompt Engineering
“System prompts are suggestions. Exogram policies are laws.”
What Prompt Engineering Does
- •Prompt Engineering relies on adding rules, constraints, and threats to the system prompt (e.g., "NEVER delete the database").
- •It assumes the LLM will probabilistically weigh those tokens heavily enough to avoid bad actions.
- •Vulnerable to context window overflow, persuasive user prompts, and inherent stochastic drift.
- •Does not provide any hard guarantee that the rule will be followed at runtime.
What Exogram Does
- ▸Exogram moves business rules and safety constraints out of the prompt and into a Deterministic Execution Engine.
- ▸Policies are written in code (Python/Go) and evaluate the LLM's proposed action in 0.07ms.
- ▸Even if the LLM completely ignores its prompt and hallucinates a malicious tool call, Exogram intercepts the payload and returns an HTTP 403 Forbidden.
- ▸Provides 100% mathematical guarantees that out-of-bounds actions will not execute.
Key Differences
| Dimension | Prompt Engineering | Exogram |
|---|---|---|
| Enforcement Method | Probabilistic Token Weights | Deterministic Code Logic |
| Bypass Risk | High (Prompt Injection) | None (Un-promptable) |
| False Negative Rate | Inherent to the model | 0.00% |
The Verdict
Prompt engineering is for formatting text. Deterministic inference is for securing execution. If your application can cause financial or data harm, you cannot rely on a prompt to protect it.
Is Prompt Engineering vulnerable to execution drift?
Run a static analysis on your LLM pipeline below.
STATIC ANALYSIS
Frequently Asked Questions
Should I still use system prompts?
Yes. System prompts guide the model toward the right answer (improving UX). Exogram guarantees the model cannot take the wrong action (ensuring security).