Orchestration

Exogram + LlamaIndex

Data framework. Not a data firewall.

What LlamaIndex Does

  • LlamaIndex connects LLMs to external data through indexes, query engines, and retrieval pipelines.
  • Optimized for RAG and data-augmented generation.
  • Ensures agents have the right context. Does not ensure agents act on it safely.

What Exogram Does

  • Exogram governs actions agents take based on LlamaIndex-retrieved context.
  • Retrieved data can still produce harmful tool calls. The context was correct — the action was destructive.
  • Exogram validates the action, not the context. Both matter.

Key Differences

DimensionLlamaIndexExogram
FocusData retrievalAction governance
What It ValidatesContext qualityAction safety

The Verdict

Use LlamaIndex for data retrieval. Use Exogram because good context doesn't prevent bad actions.

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.

LlamaIndex (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 LlamaIndex vulnerable to execution drift?

Run a static analysis on your LLM pipeline below.

STATIC ANALYSIS

Frequently Asked Questions

Does Exogram work in a RAG pipeline?

Yes. Exogram sits at the end of the pipeline — after retrieval, after reasoning, before execution. It's the final gate.

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