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March 25, 20260 citationsOpen Access

Security Architecture for Autonomous AI Agents and Trust Challenges

The Collapse of Trust: Security Architecture for the Age of Autonomous AI Agents

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Authors

KLKuan-Hsin Lin

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Overview

Analysis reveals security gaps in autonomous AI agents, suggesting the need for a new detection standard.

Key Points

  • The paper examines the security challenges posed by autonomous AI agents and identifies crucial gaps in their architecture.
  • Analysis of 30+ common vulnerabilities and exposures (CVEs)
  • Development of a unified attack taxonomy for AI agent architecture
  • Empirical evidence from 2025–2026 production incidents
  • Proposal of Agent Threat Rules (ATR) for detection
  • Two out of three foundational trust pillars are missing in AI agents
  • Current defenses cover at most 1 out of 10 structural data flow points
  • Attack success rates of 36–98% for indirect injection methods
  • Security measures have a limited lifespan of 3–6 months

Cite This Study

Kuan-Hsin Lin (2026) studied this question.

synapsesocial.com/papers/69c37b74b34aaaeb1a67dd47https://doi.org/10.5281/zenodo.19178372
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