Insurance Outlook for LLM-Induced Risk
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Accès restreint UNIL
Etat: Public
Version: de l'auteur⸱e
Licence: CC BY 4.0
Accès restreint UNIL
Etat: Public
Version: de l'auteur⸱e
Licence: CC BY 4.0
ID Serval
serval:BIB_12DCF9D6FEF6
Type
Partie de livre
Sous-type
Chapitre: chapitre ou section
Collection
Publications
Institution
Titre
Insurance Outlook for LLM-Induced Risk
Titre du livre
Large Language Models in Cybersecurity
Editeur
Springer Nature
ISBN
9783031548260
9783031548277
9783031548277
Statut éditorial
Publié
Date de publication
2024
Peer-reviewed
Oui
Langue
anglais
Résumé
<jats:title>Abstract</jats:title><jats:p>During the development of information systems, security, and safety considerations often take a back seat to market pressures, demanding shorter development cycles, faster releases, and new product features. Unfortunately, right until a cyber-incident, the price of the trade-off between security and safety and other market imperatives is unclear and, given the general rarity of cyber-incidents, often under-estimated. Fortunately, calculating the security and safety side of the trade-off is the domain of expertise of actuaries in insurance companies offering cyber insurances. It used to be an after-thought for most companies since the 2013 Target data breach, which cost nearly 300 million but was covered at 30% by insurance payout. Since then, insurance for risks of information systems malfunctions has become standard for most companies, and premium reduction has become a primary driver for improving cybersecurity costs for companies. The role of this chapter is to transpose what we have learned about the insurance of cyber-incidents over the last couple of decades and use it as a basis to produce a qualitative forecast of the insurance outlook for a security and safety landscape involving LLMs.</jats:p>
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Création de la notice
17/07/2024 12:55
Dernière modification de la notice
18/07/2024 6:06