Datagram Launches Closed Beta of Decentralized, No-Logs VPN Network

TheNewsCryptoPubblicato 2025-12-17Pubblicato ultima volta 2025-12-17

Introduzione

Datagram has launched the closed beta of its decentralized VPN network, designed to offer fast, private, and secure internet connectivity without relying on centralized infrastructure. Unlike traditional VPNs, it uses a single-hop routing architecture and employs advanced encryption protocols like WireGuard with ChaCha20-Poly1305 and Curve25519 for key negotiation. The network ensures a verifiable no-logs policy through stateless nodes, volatile memory key storage, and no telemetry systems, making it compliant with regulations like GDPR and CCPA. The VPN uses a decentralized node network where clients are automatically routed to the best-performing nodes based on latency, uptime, and reliability. A dual revenue model involves burning half of the monthly VPN earnings in $DGRAM tokens to support node operators, with the rest funding development and operations. The service can be purchased using fiat or DGRAM tokens on the Datagram L1 Blockchain.

Closed beta testing for Datagram VPN, a new generation of privacy networks based on decentralized infrastructure and designed to provide quick, safe, and reliable connectivity without the vulnerabilities of centralized VPN services, has been launched, according to Datagram, the Hyper-Fabric Network for DePIN interoperability. The VPN, which will soon be fully operational throughout Datagram’s global node substrate, has a single-hop routing architecture and a verifiable no-logs design.

While Datagram VPN creates a direct encrypted tunnel to a single independently run node that serves as both the entrance point and the exit to the public internet, conventional VPNs channel data via massive server clusters or multi-hop pathways. WireGuard with ChaCha20-Poly1305, the Noise Protocol Framework, Curve25519 key negotiation, and ephemeral session keys that guarantee forward secrecy are used to encrypt traffic. The VPN maintains the robustness and privacy benefits of a distributed network while offering superior performance on par with centralized providers by doing away with relay chains and multilayer encryption layers.

Instead of relying on trust, Datagram VPN uses architectural limitations to achieve a real no-logs environment. With stateless daemons, no telemetry or analytics systems, volatile memory key storage, and disabled logging, nodes execute reproducible images. No party can gather, store, or reconstruct user behavior since Datagram does not maintain centralized infrastructure and operators lack the technological capacity to preserve session information. This method brings the VPN into compliance with international privacy laws like the CCPA and GDPR.

“People want privacy without sacrificing speed, and they want performance without having to trust a centralized operator,” said Jason Brink, CEO of Datagram. “We built our VPN to deliver simple, fast, and private connectivity people need, powered by a network that no single entity controls.”

Strict node certification and clever client-side routing preserve the network’s performance. The bandwidth, uptime, CPU load, and geographic diversity standards must all be met by the nodes. To guarantee that users are immediately routed to the strongest node available, clients continually assess latency, packet loss, proximity, and historical dependability. With the use of quality criteria, adaptive selection, and decentralized infrastructure, Datagram VPN is able to achieve high throughput without the coordination overhead and congestion that are common in distributed networks.

Datagram is using a dual-structured revenue model for the VPN in order to promote long-term sustainability. Periodic $DGRAM token burns account for around half of monthly VPN revenue, with the burnt amount going back into the latent supply pool that supports node operator incentives. The remaining revenue supports client operations, infrastructure growth, engineering, and continuous Datagram ecosystem development. On the Datagram L1 Blockchain, users may buy the VPN service using fiat money or the native cryptocurrency DGRAM here.

The new era of Internet connectivity and DePIN cross-network interoperability is being redefined by Datagram, a global, AI-driven Hyper-Fabric Network. In order to provide smooth, low-latency performance across gaming, artificial intelligence, telecom, and other industries, the network dynamically optimizes traffic, minimizes congestion, and grows with ease by using idle hardware and bandwidth. Datagram is the next-generation baselayer for DePINs and high-performance applications, having serviced more than 200 businesses and one million customers globally.

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When AI Begins to Audit the World: From Claude Discovering the ZEC Vulnerability, Watching the Encryption Industry Enter the 'Recursive Security Era'

**When AI Audits the World: From Claude's Discovery of a ZEC Vulnerability, Viewing the Crypto Industry Entering a "Recursive Security Era"** This article examines a pivotal shift in the blockchain security landscape, triggered by the convergence of two events: Anthropic's research on AI's "Recursive Self-Improvement" and Claude Opus 4.8's discovery of a critical vulnerability in Zcash's code. Traditionally, crypto security has relied on human experts and automated tools for periodic audits. However, the article argues AI is transitioning from a mere tool to an active participant in understanding and analyzing complex systems. Claude's ability to identify a subtle flaw in Zcash's zero-knowledge proof system demonstrates AI's potential to dramatically lower the cost and time required for risk discovery. This goes beyond finding a single bug; it signals a change in the very mechanism of how vulnerabilities are found. The core thesis introduces the concept of "Recursive Security," drawing a parallel to Anthropic's "Recursive Self-Improvement." Just as AI can accelerate its own development through feedback loops, security systems are evolving towards a continuous cycle of analysis, risk identification, remediation, and re-analysis. Security is becoming a persistent, evolving capability integrated into a system's lifecycle, rather than a one-time pre-launch audit. This shift is particularly urgent for the crypto industry, where system complexity from Layer-2 networks, modular architectures, and ZK-proofs is growing faster than human analysis capacity. AI excels at the pattern recognition and contextual understanding needed to navigate this complexity. Importantly, the article cautions that AI augments both defenders and potential attackers, accelerating the entire threat landscape. The future competitive advantage may not lie in having zero vulnerabilities, but in having the fastest risk discovery, validation, and response capabilities. The Claude-Zcash incident is thus an early signal of an era where AI-driven, recursive security systems become essential for managing risk in an increasingly complex digital world.

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When AI Begins to Audit the World: From Claude Discovering the ZEC Vulnerability, Watching the Encryption Industry Enter the 'Recursive Security Era'

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