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paperJune 2025Unreviewed

Securing Generative AI Agentic Workflows: Risks, Mitigation, and a Proposed Firewall Architecture

Sunil Kumar Jang Bahadur, Gopala Dhar

arXiv.org

Abstract

Generative Artificial Intelligence (GenAI) presents significant advancements but also introduces novel security challenges, particularly within agentic workflows where AI agents operate autonomously. These risks escalate in multi-agent systems due to increased interaction complexity. This paper outlines critical security vulnerabilities inherent in GenAI agentic workflows, including data privacy breaches, model manipulation, and issues related to agent autonomy and system integration. It discuss

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@misc{bahadur2025securing,
  title = {{Securing Generative AI Agentic Workflows: Risks, Mitigation, and a Proposed Firewall Architecture}},
  author = {Sunil Kumar Jang Bahadur and Gopala Dhar},
  year = {2025},
  month = jun,
  eprint = {2506.17266},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2506.17266},
  url = {https://www.semanticscholar.org/paper/783db6d7e129f598539e38b4608dfec1702c0eb1}
}