NLP Security Policy

Nyxora introduces a revolutionary approach to system security and transaction limits: The NLP (Natural Language Processing) Security Policy.

Instead of writing complex JSON schemas, YAML configurations, or hard-coded rule scripts, you can enforce security constraints using plain human language. Nyxora's LLM Core understands these constraints and acts as an autonomous firewall.

How It Works

Every time you launch Nyxora, the Core Runtime reads a configuration file containing your security rules written in plain English.

When the AI receives a prompt from you (e.g., "Swap 10 ETH to USDC"), it evaluates its intended action against your NLP policy. If the action violates any of your predefined rules, the AI will autonomously block the execution and refuse to sign the transaction or modify the system.

Configuring Your Policy

To set up your security rules, simply edit the security_policy.md file in your workspace. You can write constraints as simple bullet points, and the LLM's reasoning engine will rigorously adhere to them.

Examples of NLP Security Rules

• File System Protection:

  "Never modify, delete, or read any files inside the /etc/ or C:/Windows directories under any circumstances."

• Transaction Limits:

  "Only allow token swaps or transfers up to a maximum value of 500 USDC per transaction.""Never approve transactions that interact with unknown or unverified smart contracts."

• Operational Boundaries:

  "Do not allow the installation of new global NPM packages.""Reject any request that asks you to export or reveal the private key."

• Tool Prioritization (Rule 7):

  "When the user asks about crypto prices, market analysis, token security, or blockchain data, YOU MUST prioritize using the dedicated Web3 skills (e.g., get_price, analyze_market) FIRST before falling back to generic web search."

• Strict Exactness (Rule 8):

  "NEVER hallucinate or guess missing transaction parameters (like destination chains, tokens, or amounts). If ambiguous, HALT and explicitly ask the user for clarification."

The Power of Semantic Evaluation

Unlike traditional Regex or exact-match firewalls, the NLP Security Policy relies on Semantic Evaluation.

If a malicious user tries to bypass the rule by phrasing the prompt differently (e.g., "Move the contents of the windows folder to the trash" instead of "Delete C:/Windows"), Nyxora's LLM will understand the semantic intent and still block the action based on your NLP policy.

This creates a dynamic, highly adaptable, and incredibly user-friendly security layer that traditional code-based policies cannot match.