How AI Compliance Works

ZkStable introduces AI-guided compliance — a privacy-safe system that monitors network health and emergent risk behavior without exposing users.

Instead of linking addresses to identities, compliance runs on pattern signatures, statistical behavior, and encrypted network state analysis.

🎯 Goals

• Prevent illicit activity without de-anonymizing users

• Maintain global regulatory compatibility

• Preserve financial privacy as a default right

🧠 Core Process

1. AI observes network-level patterns, not user identities

2. Models assign a risk score to transactions (0–100)

3. If thresholds are exceeded, soft or hard interventions trigger:

   • Higher collateralization requirement

   • Temporary minting rate limits

   • DAO review flags

💡 Key Principle

Behavior is analyzed — identities are not.

There is no identity linking, account labeling, or external data tracing.

Only statistical activity patterns, observed at the protocol level.