Privacy-Respecting AI Layers

In an era where data privacy is often sacrificed for intelligence, AGENFI is built differently. Our architecture is designed around user-first privacy — ensuring that no identifiable information is exposed or stored unnecessarily while still delivering powerful AI-driven insights.

AGENFI’s AI system uses a privacy-respecting, zero-leak framework where your on-platform actions are processed locally or anonymously, and your portfolio data is never shared, sold, or externally exposed.

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🔐 How Privacy Is Protected

🧭 Client-Side Processing

• Sensitive interactions (e.g. wallet analysis, personal watchlist scoring) are computed on the user's device or inside an encrypted session

• No raw wallet history is transmitted to external AI services

🧱 Pseudonymized Data Models

• When behavior data is used for AI training, it is fully anonymized and stripped of user-specific identifiers

• Data is aggregated in cohorts to protect individuals while improving system intelligence

🧬 Zero-Knowledge-Enhanced Signals

• Signal explanations and portfolio insights use zero-knowledge principles, meaning:

  • The AI proves why it triggered an alert

  • Without revealing the user’s full transaction context

❌ No Third-Party Profiling

• No cookies, fingerprinting, or advertising profiling

• User data is not accessible to third parties — even AGENFI team members have no access to private user metrics