DocumentationLast Updated: January 27, 2026
PQCvpn is the world's first quantum-safe VPN solution, built on NIST-standardized post-quantum cryptography algorithms. It provides enterprise-grade protection against both classical and quantum computing threats.
Installation GuideLast Updated: January 27, 2026
PQCvpn.zip filePQCvpn.exe file from the extracted folderNote: You may need to grant administrator permissions during installation.
PQCvpn.dmg fileNote: On first launch, you may need to right-click the app and select "Open" to bypass Gatekeeper.
Last Updated: January 27, 2026
PQCvpn works out of the box with default settings optimized for security and performance. However, you can customize various settings to suit your needs.
Configure custom DNS servers for enhanced privacy:
Enable port forwarding for specific applications:
Last Updated: January 27, 2026
Symptoms: Connection fails or times out
Solutions:
Symptoms: Slower than expected internet speeds
Solutions:
Symptoms: App crashes on startup or won't open
Solutions:
If you continue to experience issues, please contact our support team at support@pqcrypto.ai with:
Last Updated: January 31, 2026
PQCready AMI provides pre-configured AWS Machine Images with Post-Quantum Cryptography (PQC) ready to deploy.
PQCready AMI enables you to quickly build security infrastructure prepared for quantum computer threats. Subscribe from AWS Marketplace and launch a Post-Quantum secured server in minutes.
| Feature | Description |
|---|---|
| Pre-configured PQC | NIST standard PQC algorithms (ML-KEM, ML-DSA) pre-installed |
| One-click Deploy | One-click deployment from AWS Marketplace |
| Auto Updates | Automatic security patches and algorithm updates |
| Multiple Regions | Available in major AWS regions |
| API Access | Programmatic AMI management via REST API |
PQCready AMI supports NIST Post-Quantum Cryptography standardized algorithms:
| AMI | Description | Status |
|---|---|---|
| PQCready NGINX | NGINX web server with post-quantum TLS support | Available |
| PQCready Vector Database | Quantum-Safe Vector Database for AI Embedding Storage and Retrieval | Available |
Web servers and APIs are the backbone of modern digital infrastructure, handling sensitive data transmissions including authentication credentials, financial transactions, personal information, and business-critical communications. Every HTTPS connection relies on TLS encryption to protect data in transit.
Today's TLS implementations use classical cryptography (RSA, ECDSA) that will be broken by quantum computers. Adversaries are already capturing encrypted traffic today with the intent to decrypt it once quantum computers become available—a threat known as "harvest now, decrypt later." This puts any long-term sensitive data at risk, including:
PQCready NGINX provides a quantum-safe web server with post-quantum TLS support, ensuring that all data transmitted through your web infrastructure remains secure against both current and future quantum attacks. By implementing NIST-standardized post-quantum algorithms (ML-KEM for key exchange and ML-DSA for digital signatures), organizations can protect their web traffic from quantum threats.
Migrating to quantum-safe TLS is critical for organizations that need to protect data with long confidentiality requirements. PQCready NGINX makes this transition seamless by providing a drop-in replacement for standard NGINX with full post-quantum cryptography support, allowing enterprises to future-proof their web infrastructure without extensive reconfiguration.
AI systems rely heavily on embeddings and vector databases to store and retrieve knowledge used in search, recommendations, and Retrieval-Augmented Generation (RAG). These embeddings often contain sensitive intellectual property, proprietary datasets, user data, and model insights that represent the core value of an AI company.
However, most vector databases today rely on classical cryptography, which is expected to be vulnerable to future quantum computers. Attackers can capture encrypted data today and decrypt it later once quantum capabilities mature ("harvest now, decrypt later").
A Quantum-Safe AI Embeddings Vector DB ensures that the knowledge layer powering AI systems remains secure against both current and future quantum attacks. By integrating post-quantum cryptography for data-in-flight, data-at-rest, and vector access controls, AI companies can protect their most valuable asset: their AI's knowledge base and embeddings infrastructure.
This makes quantum-safe vector databases a critical security layer for next-generation AI platforms, especially for enterprises handling regulated, proprietary, or long-lifecycle data.
To learn more about PQCready AMIs or get access to these quantum-safe solutions:
Last Updated: January 31, 2026
AI systems rely heavily on embeddings and vector databases to store and retrieve knowledge used in search, recommendations, and Retrieval-Augmented Generation (RAG). These embeddings often contain sensitive intellectual property, proprietary datasets, user data, and model insights that represent the core value of an AI company.
However, most vector databases today rely on classical cryptography, which is expected to be vulnerable to future quantum computers. Attackers can capture encrypted data today and decrypt it later once quantum capabilities mature ("harvest now, decrypt later").
A Quantum-Safe AI Embeddings Vector DB ensures that the knowledge layer powering AI systems remains secure against both current and future quantum attacks. By integrating post-quantum cryptography for data-in-flight, data-at-rest, and vector access controls, AI companies can protect their most valuable asset: their AI's knowledge base and embeddings infrastructure.
This makes quantum-safe vector databases a critical security layer for next-generation AI platforms, especially for enterprises handling regulated, proprietary, or long-lifecycle data.
To learn more about PQCready Vector Database or get access to this quantum-safe solution: