Quantum Security, Quantum Networking

ZeroTier Quantum RC3 passes key milestone for production

Avatar of Ivy Delaney
October 15, 2026 by Ivy Delaney

ZeroTier has announced Release Candidate 3 (RC3) of ZeroTier Quantum, the company asserting it is the software-defined end-to-end quantum-secure networking platform. This release signifies the final production step before full deployment, demonstrating the platform’s ability to deliver secure connectivity across diverse environments. Organizations can deploy ZeroTier Quantum as a managed service or within sovereign, self-hosted and air-gapped systems, adapting to existing infrastructure without requiring complete overhauls.

ZeroTier Quantum RC3: Flexible Deployment Across Environments

ZeroTier Quantum Release Candidate 3 (RC3) expands deployment options to include fully air-gapped infrastructure, addressing a critical need for organizations prioritizing absolute data isolation. This capability distinguishes the platform by enabling operation on systems with no external network connectivity, a feature vital for high-security environments like defense and critical infrastructure. Expanded client support now encompasses Windows, macOS and Linux, with Android support for mobile environments.

Administrative control over network access is strengthened through credential-based enrollment in RC3, allowing administrators to dictate which devices can join a ZeroTier Quantum environment. This feature enhances security by verifying device identity before granting network access, which is an important step for organizations handling sensitive data.

A dedicated, authenticated software delivery portal further streamlines deployment by providing access to all necessary ZeroTier Quantum components, ensuring controlled and secure software distribution. “With RC3, we’re proving that quantum-secure connectivity can adapt to the environments organizations actually operate in,” said Andrew Gault, ZeroTier’s CEO. “We have significant experience in this regard, and our customers can deploy ZeroTier Quantum across managed, sovereign, and isolated environments, including systems that never touch the public internet.” The platform’s validation extends beyond deployment flexibility, encompassing security, access control, performance and operational readiness.

We’ve been very deliberate in our development of ZeroTier Quantum around real customer requirements, both real-world networking challenges and regulatory roadmap pressure.

Robert Stevenson, Chief Commercial Officer at ZeroTier

ML-KEM-1024 & ML-DSA-87 Enable Quantum-Secure Connectivity

ZeroTier Quantum’s Release Candidate 3 integrates ML-KEM-1024 and ML-DSA-87 to establish end-to-end quantum-secure connections, combining these cryptographic algorithms with configurable classical options like P-384 and AES-256-GCM. This hybrid approach allows organizations to tailor security levels to meet evolving regulatory requirements and internal policies, enabling a phased transition to full quantum resistance. Classical algorithms can be selectively enabled or disabled, providing a flexible architecture for diverse operational needs and compliance standards. The platform’s design aims to meet or exceed the CNSA 2.0 standard, a benchmark for quantum-resistant network security.

For security-sensitive organizations, like government, defense, and critical infrastructure management, where a network runs matters just as much as how it’s secured.

Andrew Gault, CEO at ZeroTier
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Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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