Sign inGet started
Paper · arXiv

Cyber Threat Intelligence for Artificial Intelligence Systems

As artificial intelligence (AI) becomes deeply embedded in critical services and everyday products, it is increasingly exposed to security threats which traditional cyber defenses were not designed to handle. In this paper, we investigate how cyber threat intelligence (CTI) may evolve to address attacks that target AI systems. We first analyze the assumptions and workflows of conventional threat intelligence with the needs of AI-focused defense, highlighting AI-specific assets and vulnerabilities. We then review and organize the current landscape of AI security knowledge. Based on this, we outline what an AI-oriented threat intelligence knowledge base should contain, describing concrete i...

AuthorsNatalia Krawczyk, Mateusz Szczepkowski, Adrian Brodzik et al.
Primary categorycs.CR
Published5 March 2026
Last updated at source5 March 2026
cs.CRcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/e80b4e87-049b-4eec-b411-7eb0729fe4dd" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.