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Cyber Insurance, Software Diversity, and AI Coders
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0002-5716-8467
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0003-2017-7914
2026 (English)In: Communications of the ACM, ISSN 0001-0782, E-ISSN 1557-7317, Vol. 69, no 2, p. 20-23Article in journal (Refereed) Published
Abstract [en]

New automation possibilities offered by AI may change intrinsic properties of cyber risks.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2026. Vol. 69, no 2, p. 20-23
National Category
Computer and Information Sciences Economics and Business
Identifiers
URN: urn:nbn:se:kth:diva-376038DOI: 10.1145/3746131OAI: oai:DiVA.org:kth-376038DiVA, id: diva2:2033834
Note

Funding by Digital Futures, a Swedish Government Strategic Research Area.

QC 20260130

Available from: 2026-01-30 Created: 2026-01-30 Last updated: 2026-01-30Bibliographically approved

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fulltext(2648 kB)15 downloads
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Barreto, CarlosFranke, Ulrik

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  • en-GB
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