Trustworthy agentic AI systems: a cross-layer review of architectures, threat models, and governance strategies for real-world deployment

Abstract

Agentic Artificial Intelligence systems, characterized by autonomous reasoning, memory augmentation, and adaptive planning, are rapidly reshaping technological landscapes. Unlike traditional AI or large language models, agentic AI integrates decision-making with persistent execution, enabling complex interactions across dynamic environments. However, this evolution introduces novel security risks, governance challenges, and ethical considerations that current frameworks inadequately address. Thi

Categories

@article{adabara2025trustworthy,
  title = {{Trustworthy agentic AI systems: a cross-layer review of architectures, threat models, and governance strategies for real-world deployment}},
  author = {Ibrahim Adabara and Bashir Olaniyi Sadiq and Aliyu Nuhu Shuaibu and Yale Ibrahim Danjuma and Venkateswarlu Maninti},
  year = {2025},
  month = sep,
  journal = {F1000Research},
  doi = {10.12688/f1000research.169927.1},
  url = {https://www.semanticscholar.org/paper/b4578b31671f32a11e47b0f4870b885f55900153}
}