Abstract
Enterprise network operations involve manual checks across numerous management domains, fragmented reporting, and difficulty maintaining unresolved findings across review periods. Existing tools generally address individual domains or workflows rather than coordinating heterogeneous operations under a single operator-driven trigger. The techniques presented herein implement a system that enables an artificial intelligence (AI) agent to execute manifest-defined, read-only application programming interface (API) operations across multi-vendor infrastructure in response to a single human trigger. An externally enforced contract validates permitted tools and prevents state-changing operations. The system further protects credentials, sanitizes publishable outputs, generates an atomic bundle of audience-specific reports, and uses hybrid baselines with anomaly handlers, recovery-aware allowlists, and cross-system references to track and correlate findings across successive runs.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Singh, Amit, "A READ-ONLY, MANIFEST-VALIDATED, SINGLE-TRIGGER ORCHESTRATION FRAMEWORK FOR ARTIFICIAL INTELLIGENCE AGENTS OPERATING AGAINST MULTI-VENDOR PRODUCTION NETWORK INFRASTRUCTURE", Technical Disclosure Commons, (July 20, 2026)
https://www.tdcommons.org/dpubs_series/11049