Cognitive Integrity Security: Securing Human-AI Interaction in Large Language Model Systems

Abstract

Large language models (LLMs) have expanded far beyond traditional software boundaries, mediating decisions, generating authoritative sounding content, and directly influencing human reasoning across consumer, enterprise, and critical infrastructure domains. The scale and diversity of today's AI landscape-spanning open-weight models, frontier scale systems, local inference runtimes, agentic workflows, and fine-tuned domain models-has created an ecosystem too vast and too fast moving for classical

Categories

@misc{flynn2026cognitive,
  title = {{Cognitive Integrity Security: Securing Human-AI Interaction in Large Language Model Systems}},
  author = {David C. Flynn},
  year = {2026},
  month = mar,
  doi = {10.22541/au.177437389.95026495/v1},
  url = {https://doi.org/10.22541/au.177437389.95026495/v1}
}