SecureDNS adds real‑time traffic‑obfuscation to encrypted DNS, injecting synthetic queries, padding packets, and randomizing timing so that AI‑based analysis cannot infer browsing activity. The patented solution works with existing SSL/TLS/QUIC DNS transports and is aimed at enterprises, ISPs, and security‑focused organizations that need strong DNS privacy.
Funding
Funding not disclosed
Founders
Product
Problem
Current DNS encryption (SSL, TLS, QUIC) protects payload content but still leaks metadata such as packet size, timing, and query frequency, allowing AI-driven traffic analysis to infer users’ browsing activity with up to 95% accuracy.
Solution
SecureDNS applies patented traffic‑obfuscation techniques that convert encrypted DNS traffic into indistinguishable noise, dramatically lowering the success rate of AI‑based inference to near zero. The system injects synthetic DNS queries, pads packets to mask size patterns, and randomizes transmission timing, creating multiple layers of privacy protection. These transformations occur in real time without requiring changes to existing DNS protocols, allowing seamless integration with current network stacks. By disrupting the statistical signatures that AI models rely on, SecureDNS enables true anonymity for online users while preserving the functional performance of DNS resolution.
Target Audience
Primary customers are enterprises, ISPs, and security‑focused organizations that manage large networks and require robust protection of DNS traffic against advanced AI surveillance.
Features
- Fake query injection mixes real DNS requests with synthetic ones to confuse tracking algorithms
- Smart padding adjusts packet sizes to eliminate size‑based behavioral inference
- Randomized timing disrupts predictable communication patterns and timing analysis
- Patent‑granted technology ensures a unique, legally protected approach to traffic obfuscation
- Compatible with standard encrypted DNS transports (SSL, TLS, QUIC) for easy deployment