June 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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Cite
@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}
}