Aequor Privacy-Preserving AI

Interactive demonstration of privacy features for secure AI interactions

Privacy Features Overview

🔐
Intent Encoding
Transform queries into 768-dimensional vectors with ε-differential privacy. Cloud sees semantic intent, not your actual words.
🛡️
PII Redaction
Automatically detect and redact 12 types of personally identifiable information with context-aware analysis.
🔄
R-A Protocol
Redaction-Addition Protocol for functional privacy: Redact locally, process remotely, re-hydrate locally.
📊
Privacy Classifier
Categorize queries by privacy level: LOGIC, STYLE, or SECRET with confidence scoring.
🔥
Privacy Firewall
Enforce privacy policies with configurable rules, real-time monitoring, and audit logging.
Zero Overhead
Less than 1% latency overhead. Privacy without sacrificing performance or functionality.

📈 Performance Metrics

Operation Latency Throughput
Intent Encoding 8-12ms 80-100 qps
PII Redaction <5ms 1000+ qps
R-A Protocol <1% overhead N/A
Privacy Classification <1ms 2000+ qps

🔐 Intent Encoding Demo

🛡️ PII Redaction Demo

🔄 Redaction-Addition Protocol Demo

🏠
Local Device
Your query
🛡️
Redact Locally
Remove PII
☁️
Cloud AI
Process structure
💧
Re-hydrate
Restore PII

📊 Privacy Classifier Demo