# Security Model

Axiom is designed around the principle that the most reliable form of security is economic alignment. Participants who hold the most value in the system are the ones who secure it. This eliminates the need for governance tokens, external oracles, or trusted committees.

The security model has four layers:

1. **Stake-weighted honesty**
2. **Sybil resistance**
3. **Snapshot-based fairness**
4. **Penalty and reward enforcement**

Each layer works together to create a system where dishonesty is economically irrational and accuracy is profitable.

{% content-ref url="/pages/tWQ1Odv1cINcQcRrb9ZF" %}
[Stake-Weighted Honesty](/whitepaper/security-model/stake-weighted-honesty.md)
{% endcontent-ref %}

{% content-ref url="/pages/tczI4ZRfDHMkFJTmXcn0" %}
[Sybil Resistance](/whitepaper/security-model/sybil-resistance.md)
{% endcontent-ref %}

{% content-ref url="/pages/vBw2UiOCfFqAgZIa5kvV" %}
[Snapshot Fairness](/whitepaper/security-model/snapshot-fairness.md)
{% endcontent-ref %}

{% content-ref url="/pages/W21LvP1hDFQaKFTGtnfx" %}
[Penalty Enforcement](/whitepaper/security-model/penalty-enforcement.md)
{% endcontent-ref %}

{% content-ref url="/pages/2IsBWZsbVsLtkKuLCmRE" %}
[Collusion Resistance](/whitepaper/security-model/collusion-resistance.md)
{% endcontent-ref %}

{% content-ref url="/pages/Mmrir42tdHoNKdJIDjjQ" %}
[Dual Epoch Locking](/whitepaper/security-model/dual-epoch-locking.md)
{% endcontent-ref %}

{% content-ref url="/pages/qt4RLg70Bkky5wWoAu9t" %}
[Attack Scenarios and Mitigations](/whitepaper/security-model/attack-scenarios-and-mitigations.md)
{% endcontent-ref %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.axiomprotocol.io/whitepaper/security-model.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.