Encryption & data protection (all you need to know)

Explore how different types of VPNs use encryption to protect your data and privacy

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Casey Ford, PhDCommunications Lead
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Ania M. Piotrowska, PhDTechnical reviewer
17 mins read
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Encryption on the public web has been a huge advancement for personal data security. However, with the rise of AI-powered data tracking technologies, encryption is not itself a sufficient protection for user privacy. A lot of personal information is being obtained by harvesting and analyzing the metadata around our encrypted traffic: browsing habits, communication patterns, desires, and even our political leanings.

This is why a Virtual Private Network (VPN), if chosen wisely, can be a crucial privacy tool. A privacy-structured VPN can not only add additional encryption layers to our data, but also obscure our IP addresses and traffic patterns. In shopping for a VPN for privacy, it’s important to know that there are fundamentally different types of VPNs to choose from (some of which may even do more harm than good).

The large majority of VPNs on the market use private and centralized server(s). When it comes to data breaches or mass surveillance, these services pose too many risks regardless of any encryption they might add. Privacy networks like Tor provide multi-layered encryption through a decentralized network, but with noticeable latency and tracking vulnerabilities. Now there are decentralized VPNs (dVPNs) which can provide robust privacy protections with less latency.

Nym will walk you through how encryption works on all of these VPN choices so you can understand the level of data security and privacy they provide.

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Homomorphic encryption allows computation over encrypted data without needing to decrypt—enabling analytics or cloud processing on sensitive information while preserving confidentiality.

Trusted Execution Environments let data be processed in isolated hardware zones, so even encrypted data can be used securely within protected computation boundaries.

Post‑quantum schemes (e.g. lattice‑based, hash‑based signatures) resist quantum decryption threats—planning ahead to guard against future adversaries who may break traditional encryption like RSA or ECC.

Use end‑to‑end encryption (e.g. Signal, PGP) to protect content across all hops, and transport encryption (TLS, VPN) for in-transit protection—layering both offers stronger confidentiality.

Reducing stored data, replacing identifiers with tokens, and encrypting stored content all work together to meet regulations like GDPR or HIPAA and reduce exposure during breaches.

About the authors

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Casey Ford, PhD

Communications Lead
Casey is the Head of Communications, lead writer, and editorial reviewer at Nym. He holds a PhD in Philosophy and researches the intersection of decentralized technologies and social life.
Ania-Piotrowska.jpg

Ania M. Piotrowska, PhD

Technical reviewer
Ania is Nym's Chief Scientific Officer. She focuses on security, distributed systems, and anonymous communication, including onion routing and mix networks.

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