Abstract
Proposed herein is an artificial intelligence (AI)-driven system that analyzes operational communication context to automatically identify network connectivity needs between systems. The system extracts network access intent from these communications, performs automated security validation, and dynamically generates temporary, policy-compliant network access permissions. By integrating contextual analysis with automated access control, the approach reduces manual configuration delays, improves operational efficiency, and optimizes the handling of legitimate connectivity requests in modern enterprise networks.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ramu, Nikhil Alampalli and R Devisetty, Kamakshi, "AI-DRIVEN DYNAMIC NETWORK ACCESS FROM COMMUNICATION CONTEXT", Technical Disclosure Commons, (May 20, 2026)
https://www.tdcommons.org/dpubs_series/10191