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paperJune 2026Unreviewed

Why Trust Your Agent? Empirical Security Gains from TRiSM-Guided Agentic Workflows in Healthcare

Liam Kearns

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Abstract

Agent-based AI has enabled the automation of tasks by exposing application tools and resources to large language models (LLMs). However, to improve scope and accuracy, agents are often given access rights that exceed those of ordinary users, introducing significant security risks. AI is routinely integrated into applications with a disregard to security, risking data exposure and breaching regulations. This paper applies the AI Trust, Risk, and Security Management (TRiSM) framework to a medical

Categories

Agentic ThreatsThreat Modeling

Cite

@misc{kearns2026why,
  title = {{Why Trust Your Agent? Empirical Security Gains from TRiSM-Guided Agentic Workflows in Healthcare}},
  author = {Liam Kearns},
  year = {2026},
  month = jun,
  eprint = {2606.28666},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.28666}
}