Johansmeyer, Tom (2023) How Bad Can Systemic Cyber Get? In: 7th ASTIN Cyber Workshop, 30 October 2023, London, United Kingdom. (Unpublished) (KAR id:105934)
Microsoft PowerPoint
Presentation
Language: English |
|
Download this file (Microsoft PowerPoint/7MB) |
|
Request a format suitable for use with assistive technology e.g. a screenreader |
Abstract
What does a comparison of the scale of natural activity data to cyber event data suggest about the risks that cyber could pose to the global insurance market?
1. The prospective scale of systemic cyber has largely relied on hypotheticals
2. Many believe that “the big one” has yet to come, albeit without supporting evidence
3. Natural disaster losses suggest that the potential quantum for systemic cyber may be much lower than many fear, given the wide disparity seen during peak years of cyber risk (1999-2004)
4. Although there is no direct correlation between natural disaster and cyber economic losses, the sheer magnitude of the former (and attendant insurance market activity) suggests that a smaller and declining magnitude of economic threat in the latter speaks not just to insurability but also remoteness of risk
Item Type: | Conference or workshop item (Speech) |
---|---|
Uncontrolled keywords: | cyber insurance, cyber reinsurance, insurance, reinsurance, natural disasters, natural catastrophes, risk management, cyber security, economic security |
Subjects: |
H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management H Social Sciences > HF Commerce > HF5351 Business H Social Sciences > HG Finance |
Divisions: | Divisions > Division of Human and Social Sciences > School of Politics and International Relations |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
Depositing User: | Tom Johansmeyer |
Date Deposited: | 12 May 2024 15:45 UTC |
Last Modified: | 13 May 2024 12:24 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/105934 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):