Abstract
An automated, state-aware network orchestration and evaluation platform provides asynchronous security exercise assessment and environment management. The platform initializes isolated virtual guest environments by executing guest agent software that dynamically generates unique boot-time cryptographic artifacts and sends them to a centralized evaluation engine to dynamically compile a grading rubric. User submissions are evaluated using a dual-pipeline generative language model configured with a strict schema contract that concurrently determines semantic equivalence and detects structural anomalies or prompt injection attempts. Trainee progression across simulation objectives is tracked using a topological directed acyclic graph that triggers automated hypervisor commands to mutate guest environment states upon reaching attempt thresholds. System command input deviations are measured against canonical operating system structures to calculate syntax delta quotients, generating probabilistic operating system bias profiles for dynamic topological path routing. Forensic actions are programmatically verified by querying normalized event streams in a security operations data lake. Keywords: state-aware evaluation engine, ephemeral state synchronization, dual-pipeline generative evaluation, prompt injection defense, topological graph remediation, hypervisor orchestration, syntax delta quotient, operating system bias telemetry, security operations log verification.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
N/A and , "System and Method for Asynchronous Network Simulation Telemetry, Topological Environment Remediation, and Generative State-Machine Security", Technical Disclosure Commons, (September 24, 2026)
https://www.tdcommons.org/dpubs_series/11855