Both AIR and the RMS/Cambridge team have agreed to highlight common elements when they publish their data schemas later this month and most importantly each has agreed to use similar terminology and precise definitions. The common core data requirements can be found at

Tom Bolt, Lloyd’s Director of Performance Management, said:
“Cyber insurance is an important new area of coverage and it is essential that we have good quality standardised data to track exposures. I am delighted that the RMS/Cambridge team and AIR, in consultation with the Lloyd’s Market Association, have worked with us to propose standard definitions for some common data. I have written to major brokers to ask them to endeavour to provide this data to Lloyd’s underwriters.

“The cyber insurance industry is showing real innovation and demonstrates the ability of insurers to develop policies to cover modern, complex risks. Due to the growing importance of this risk class, quality standardised exposure data is critical for increased levels of insurance coverage and better risk modelling.

“Models for natural catastrophe risks are well developed in the (re)insurance industry and the data requirements are relatively standardised. But in comparison, models for cyber risks are still developing and need the industry to work collectively so that risk can accurately be calculated. Lloyd’s is pleased to have worked with AIR, RMS and the Cambridge Centre for Risk Studies to progress this issue.”


Notes to Editors:
The more detailed schemas from each modelling group have been developed over the course of 2015 in consultation with a cross section of brokers, (re)insurers, both London-based and international, and other model developers.

The AIR schema entitled AIR Cyber Exposure Data Schema and Preparer's Guide ( and the RMS and the Cambridge Centre for Risk Studies Cyber Insurance Exposure Data Schema v1.0 ( will be available later in January. 
For further information, please contact:

Alex Dziedzan or Annie Roberts
Tel: +44 (0)20 7327 6125 Email:  
Tel: +44 (0)20 7327 5514 Email:

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