doxx.net Launches Agentic Defined Networking Public Beta, Secures $38M Funding

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doxx.net has launched the public beta of its Agentic Defined Networking (ADN) solution, a platform enabling individuals and their autonomous agents to establish secure, private networks without intermediaries.

Public Beta and Funding Details

The system allows users to communicate directly, transfer files, and manage device connections without requiring personal information. The platform provides agents with a controlled environment featuring defined connectivity and integrated threat protection, designed to address evolving security challenges in AI-driven interactions.

The company also disclosed a $38 million Series A funding round led by Andreessen Horowitz, with additional participation from Animo Ventures and Focal.vc. Joel De La Garza, a partner at Andreessen Horowitz, has joined doxx.net’s board.

Platform Functionality and Use Cases

The ADN platform is structured to offer users a parallel, self-sovereign network infrastructure, supporting private browsing, direct device connectivity, and peer-to-peer communication. Its design targets diverse use cases, from everyday users seeking privacy to advanced users managing home networks and agents, as well as journalists operating in restricted environments.

CEO Barrett Lyon highlighted the platform’s unique approach during a demonstration, noting that agents can configure networks, lease public IP addresses, and establish security policies without relying on third-party infrastructure. He emphasized the platform’s ability to facilitate direct communication between users and their agents, eliminating intermediaries such as phone companies.

“This is the ‘first freedom call,’ underscoring the system’s focus on privacy and autonomy,” Lyon said.

Security and Threat Protection

The platform addresses security risks associated with AI agents, which may encounter malicious destinations while operating with user data and credentials. doxx.net’s ADN solution provides a policy-defined networking environment with DNS-level threat protection, blocking known and emerging threats before connections are established.

Since its closed beta launch in December 2025, the system has blocked over 38 million threats. Agents on the platform receive network identities, private communication channels, and access to a full network API with native MCP support.

Technical Architecture and Features

Unlike traditional solutions that route traffic through third-party infrastructure, doxx.net’s architecture ensures privacy is embedded in the system’s design. Lyon stated that the platform’s structure allows users and agents to define their own privacy terms, with no entity capable of monitoring user activity.

“doxx.net is a ‘one-stop privacy stack’ built from first principles, offering secure communications and networking capabilities for both humans and AI agents,” said Andreessen Horowitz partner Joel De La Garza.

Key Features

Agentic Defined Networking: Agents can autonomously configure networks, lease IP addresses, and manage firewalls.
Peer-to-Peer Communications: End-to-end encrypted calls, video, chat, and file transfers without centralized servers.
Threat Detection: DNS protection combining 30 filter lists with a neural network to identify novel threats.
Covert Networking: Six protocols designed to mask private-network traffic as routine web activity.
Anti-Fingerprinting: Techniques to obscure device and browser characteristics for enhanced anonymity.
Onion Routing: Multi-hop traffic routing to prevent single points of identification.
Private Network Ecosystem: 196 custom top-level domains and a proprietary certificate authority for isolated network resolution.

Industry Implications and Future Goals

The platform aims to redefine privacy by prioritizing user control and eliminating reliance on third-party infrastructure. doxx.net’s approach contrasts with conventional “private networking” solutions that operate as tunnels into public clouds, instead offering a sovereign internet layer with full user sovereignty.

The company’s technical framework ensures that no entity, including doxx.net itself, can access user data or activity. This design aligns with its mission to empower users and agents to define their own security and privacy parameters without external oversight.

The ADN solution is positioned as a response to growing threats in AI-driven environments, where agents face risks from phishing, malware, and compromised services. By integrating threat protection at the DNS level and enabling decentralized communication, the platform seeks to mitigate these challenges while maintaining user autonomy.

doxx.net’s public beta marks a significant step in the development of privacy-centric networking solutions, with implications for both individual users and organizations seeking secure, self-sovereign infrastructure. The company’s funding and technical approach reflect a broader industry shift toward architectures that prioritize privacy as a fundamental design principle rather than a configurable feature.