AI Cybersecurity Network Subnet adalah solusi berbasis AI untuk mendeteksi dan merespons ancaman antar-subnet secara real-time, mencegah serangan lateral dan anomali jaringan sebelum meluas.
AI Cybersecurity Network Subnet is an AI-powered, decentralized cybersecurity solution designed to detect and respond to cross-subnet threats in real time.
By leveraging competitive AI models running on a Bittensor subnet, the network identifies malicious behavior, lateral attacks, and network anomalies before they can propagate.
Unlike traditional centralized security tools, this system enables permissionless participation where miners contribute threat detection models and validators verify accuracy using curated and obfuscated threat samples.
The result is an open, incentive-aligned cybersecurity network that provides enterprise-grade protection for Web3 protocols, DAOs, and infrastructure projects.
During the hackathon, we designed and implemented the core architecture of the AI Cybersecurity Network Subnet.
Key progress includes:
Defining miner and validator roles for threat detection and verification
Designing the incentive and scoring mechanism for accuracy, false positives, and latency
Implementing a prototype threat analysis pipeline
Setting up the repository structure and initial subnet logic
The project currently demonstrates a functional proof-of-concept showing how decentralized AI agents can collaboratively detect cybersecurity threats in real time.
This project is currently not fundraising.
The focus at this stage is on building a functional MVP, validating the subnet design, and demonstrating real-world applicability during the hackathon.