Guardrails & Safety

Exogram + 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 makes unwarranted inferences 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

DimensionPrompt EngineeringExogram
Enforcement MethodProbabilistic Token WeightsDeterministic Code Logic
Bypass RiskHigh (Prompt Injection)None (Un-promptable)
False Negative RateInherent to the model0.00%

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.

Interception Latency Benchmark

Unlike standard LLM-based guardrails that invoke external APIs on every single tool execution, Exogram compiles policies to execute in-memory inside the client runtime.

Prompt Engineering (LLM / API Check)~220.00 ms
Exogram Authority Runtime (In-Memory Intercept)0.07 ms
* Measured under concurrent load of 1,000 RPS. Exogram overhead is mathematically negligible.

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).

Related Integrations & Comparisons