Template-Type: ReDIF-Paper 1.0
Author-Name: Iñaki Aldasoro
Author-X-Name-First: Iñaki
Author-X-Name-Last: Aldasoro
Author-Name: Raphael Auer
Author-X-Name-First: Raphael
Author-X-Name-Last: Auer
Author-Name: Jon Frost
Author-X-Name-First: Jon
Author-X-Name-Last: Frost
Author-Name: Fernando Perez-Cruz
Author-X-Name-First: Fernando
Author-X-Name-Last: Perez-Cruz
Title: A Mythos moment? Frontier AI and cyber risk
Abstract: Frontier artificial intelligence (AI) models increase the speed, scale and complexity of cyber attacks, and they also strengthen cyber defence. But the costs are asymmetric and may favour attackers. The medium-term impact on systemic cyber risk depends on the various actors' access to the most advanced tools, on compute power to run the tools and on economic incentives. Given the pace of recent developments, swift adoption of frontier AI models to review code bases and fix vulnerabilities is essential. International coordination can support authorities in addressing these issues.
Length: 8 pages
Creation-Date: 2026-07-20
File-URL: https://www.bis.org/publ/bisbull129.pdf
File-Format: Application/pdf
File-Function: Full PDF document
File-URL: https://www.bis.org/publ/bisbull129.htm
File-Format: text/html
Number: 129
Handle: RePEc:bis:bisblt:129