doxx.net launches private networking platform designed for AI agents, secures major Series A funding
doxx.net introduced an Agentic Defined Networking platform enabling users and AI agents to establish private, server-less networks with built-in threat protection that blocks malicious destinations. The company secured $38 million in Series A funding led by Andreessen Horowitz to support the platform's expansion. The technology provides agents with defined connectivity, peer-to-peer communication capabilities, and DNS-level threat protection while operating on users' behalf.
doxx.net's platform addresses an emerging security challenge created by the increasing deployment of AI agents that operate autonomously on users' behalf. By establishing private networks with peer-to-peer architecture rather than relying on centralized server infrastructure, the company eliminates traditional intermediaries that typically collect user data and communications records. The $38 million Series A funding round reflects investor confidence in privacy-focused infrastructure solutions during a period of rapid AI adoption.
The technology incorporates DNS-level threat filtering that has demonstrated substantial protective capacity, having blocked over 38 million threats during its closed beta testing phase. Users and agents can establish direct encrypted communications and share resources without exposing activities to external parties, contrasting with conventional virtual private network services that route traffic through third-party infrastructure.
The platform could affect multiple constituencies differently. Individual users and organizations may gain greater privacy protections as AI agents become more prevalent in daily operations. However, the adoption of private networking infrastructure for autonomous agents could create challenges for cybersecurity researchers, law enforcement, and network administrators seeking to monitor malicious activity. The architectural shift toward decentralized, user-controlled networks may reshape expectations around privacy infrastructure, though widespread adoption and real-world security outcomes remain to be demonstrated.