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Main Author: Khan, Masood
Format: Recurso digital
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Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.17646655
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author Khan, Masood
author_facet Khan, Masood
contents <div> <div> <div dir="auto"> <div> <div> <p>The document outlines the main technical risks associated with artificial intelligence systems, highlighting 20 different threat categories. Each risk is described with practical examples, including data poisoning, model inversion, backdoor attacks, API exploitation, hardware vulnerabilities, adversarial attacks, and AI-powered social engineering. The document emphasizes the broad attack surface and governance challenges in AI deployment, covering risks from unauthorized AI use to precision-targeted cyberattacks. This comprehensive overview serves as a guide to understanding and mitigating AI security risks.</p> </div> </div> </div> </div> </div> <div> <div> </div> </div> <div> </div>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17646655
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Top Technical Risks and Threats in Artificial Intelligence Systems: A Comprehensive Overview
Khan, Masood
<div> <div> <div dir="auto"> <div> <div> <p>The document outlines the main technical risks associated with artificial intelligence systems, highlighting 20 different threat categories. Each risk is described with practical examples, including data poisoning, model inversion, backdoor attacks, API exploitation, hardware vulnerabilities, adversarial attacks, and AI-powered social engineering. The document emphasizes the broad attack surface and governance challenges in AI deployment, covering risks from unauthorized AI use to precision-targeted cyberattacks. This comprehensive overview serves as a guide to understanding and mitigating AI security risks.</p> </div> </div> </div> </div> </div> <div> <div> </div> </div> <div> </div>
title Top Technical Risks and Threats in Artificial Intelligence Systems: A Comprehensive Overview
url https://doi.org/10.5281/zenodo.17646655