This is a vibe learning ZTA implementation combined with an AI (ML/LLM) repo.
⚠️ Disclaimer
This repository contains experimental code integrating Zero Trust Architecture with AI/LLMs. It is provided "as is" without warranty of any kind. Do not deploy this in a production environment or rely on it for critical security infrastructure. The authors assume no liability for data loss, security breaches, or unexpected AI behaviors.
Behavioral baselines for Zero Trust Architecture, learned from data.
A research-flavored exploration of density-based behavioral clustering as the trust signal for Zero Trust Architecture (NIST SP 800-207), with a follow-on study on whether fine-tuned language models can faithfully serialize those signals into structured incident schemas.