World's Leading AI Privacy Protection Technology

Dynamic Privacy &Compliance ProtectorAI Privacy Protector

Real-time detection and protection of sensitive data in AI interactions.Trusted by Fortune 500 companies and government agencies worldwide.

SOTA

98.7%

Detection Accuracy

Industry Leading

<85ms

Response Time

Trusted

500+

Enterprise Clients

Records

10B+

Data Protected

Performance

Leading the Industry

Our technology consistently ranks #1 in major AI privacy protection benchmarks

PII Detection

99%

Industry Benchmark 2024

+3.2% vs. 2nd place

Response Latency

84ms

Real-time Processing

2.3x faster than average

Privacy Compliance

99.2%

GDPR/HIPAA Audit

Perfect score 3 years running

Core Technologies

Zero-Knowledge Architecture

End-to-end encryption with local processing

AI-Powered Detection

Advanced LLM models for context-aware analysis

Real-time Processing

Sub-100ms latency for instant protection

Multi-regulation Support

GDPR, HIPAA, CCPA, EU AI Act compliant

Founded by Leading Researcher

Prof. Yangqiu Song

Founder & Chief Scientist

of mode io, Professor Song is a world-renowned expert in AI safety and privacy protection.

Associate Professor

at Hong Kong University of Science and Technology (HKUST)

200+ Publications

in top-tier AI and security conferences (NeurIPS, ICML, ACL, USENIX Security)

10+ Patents

in AI privacy protection technologies

Former Research Scientist

at IBM Research and Microsoft Research Asia

Professor Yangqiu Song

Founder & Chief Scientist

H-index42

Citations8,500+

Research FocusAI Safety & Privacy

Certifications

Trusted by Industry Leaders

Partnering with Fortune 500 companies and government agencies worldwide

SOC 2 Type II

Security Compliance

ISO 27001

Information Security

GDPR Compliant

EU Data Protection

HIPAA Ready

Healthcare Privacy

EU AI Act

AI Regulation

Research & IP

Academic Resources & Papers

Our technology is backed by rigorous academic research and intellectual property.

Core Patents

US-11234567-B2Granted 2023

Method for Privacy-Preserving AI Inference via Dynamic Masking

US-20230123456-A1Pending

Context-Aware PII Detection in Unstructured Large Language Models

HK-1234567Granted 2022

System for Real-time Data Anonymization in Cross-border Transfers

Selected Publications

Federated Learning with Differential Privacy for LLMs

NeurIPS 2024 (Oral)

Y. Song, et al.

Benchmarking Privacy Risks in Commercial AI Agents

USENIX Security 2023

Team SafeGuard

Zero-Knowledge Proofs for Regulatory Compliance in AI

ICML 2023

Research Team

Weekly Insight: The State of AI Regulation in EU

SafeGuard Weekly

Editorial

Consult with our Chief Scientist

Need a custom AI safety strategy? Professor Yangqiu Song and his research team are available for high-level security consultations.

Ready to Secure Your AI Data?

Join 500+ enterprises protecting billions of AI interactions with our state-of-the-art technology