Guarded Autonomy Architecture
This document outlines the conceptual blueprint of Nyxora's "Guarded Autonomy"—a paradigm that balances the free-thinking reasoning of an AI Agent with strict, unbreakable security policies.
1. Policy Engine Expansion (Risk Management)
The policy configuration acts as the ultimate risk control center for the system. Instead of simple on/off switches, it defines:
- User Risk Profiles: Tolerances for maximum allowed slippage and customized Natural Language (NLP) Rules.
- Strict Trading Criteria: User-defined rules (e.g., "Never buy a token if liquidity is below $10,000") that the LLM must obey before attempting to draft a transaction.
- Guarded Autonomy (Auto-Approve Limits): A mechanism that allows the agent to auto-execute small micro-trades instantly, while larger or sensitive transactions are automatically held back for explicit human approval via the Dashboard UI.
2. The Policy Gatekeeper (Transaction Interceptor)
Before any transaction reaches the OS-Native Secure Vault for signing, it must pass through the local Policy Gatekeeper. Even if the AI hallucinates and tries to execute a trade that violates your settings (e.g., setting a slippage of 50% when your limit is 2%), the Gatekeeper physically intercepts the Web3 payload. It rejects the transaction outright, effectively sandboxing the AI's execution power within your predefined limits.
By separating the language generation (LLM) from the cryptographic execution (Signer Vault), Nyxora achieves robust, Zero-Trust reliability, allowing users to trust the agent with autonomous operations within strictly guarded boundaries.
⚠️ Note: The rules established in the Policy Engine are enforced at the network/interceptor level, making it mathematically impossible for the AI to bypass them.