Validate and modify assumptions as you please with direct access to model insights, leaving no (digital) stone unturned.
Comprehensive Cyber Modeling
Model a diverse range of cyber threats from the account to portfolio level. Ensure that pricing, portfolio optimization, and capital provisions are consistent across perspectives.
Manage Risk Effectively
Stay ahead of the competition by intelligently underwriting, diversifying, and managing catastrophic risk losses and attritional cyber risk.
The comprehensive RMS cyber risk model supports (re)insurers’ end-to-end cyber risk management.
Reflects current cyber risk insights and research into the underlying causal processes that impact both digital assets and operational technology.
Improve model accuracy by backfilling missing exposure characteristics with a global database of over 11 million companies.
Price the Risk
Price individual cyber risks and reliably measure tail risk. At its most granular, RMS Cyber Solutions resolve down to the account-level, but consistently scale to produce full portfolio analytics.
Incorporate your own view of risk alongside the existing model by adding user-defined alternative model parameters.
A Cyber Model You Can Trust
RMS Cyber Solutions provide a transparent, flexible framework to analyze exposure and validate loss results across affirmative and silent cyber insurance policies. The intuitive interface provides streamlined data management and seamless access to analytic insights including open access to all underlying modeling assumptions and data.
Lessons from SolarWinds Breach: How IT Supply Chain Attacks Can Cause Serious Cyber Insurance Losses
This article was originally published in Insurance Day - click here to access (subscription required) Cybersecurity company FireEye was the first to reveal how a serious threat actor had hacked their internal network via a compromised SolarWinds Orion application, closely followed by several U.S. government agencies. SolarWinds Orion IT monitoring and management software has over 300,000 customers worldwide, including 425 of the U.S. Fortune 500 businesses,…
Succeeding in a Changing Cyber Risk Landscape
Though a relatively new peril, cyber risk is dynamic – and 2020 has certainly been a year of rapid change in terms of the nature of cyber risk. Due to national or state-level COVID-19 lockdowns, employees around the globe left the protective IT bubble at their office buildings to work from home, causing cyber exposure to shift radically for cyber insurers. Research from Stanford University published at the end of June 2020 suggested that 42 percent of the entire…
Quantify Your Silent Cyber Exposure With These Three Steps
In 2017, WannaCry infected computers in over 150 countries across the globe, taking out critical functions such as the National Health Service (NHS) in the U.K. One year later, the NotPetya cyberattack brought many household names to a standstill. The pharmaceutical giant, Merck, was reportedly the source of US$1.3 billion of total impact to (re)insurers from the NotPetya attack, 87 percent of which was considered silent exposure. These two major cyberattacks…
Toward a Science of Cyber Risk
A new article, The Science of Cyber Risk: A Research Agenda has just been published in Science. A free, non-paywall version of this paper is available here. Written by a diverse team of 19 authors, including myself, it presents a concise argument for interdisciplinary research, to establish a scientific basis for risk analysis and management in the cyber security domain. As a leading provider of cyber risk models for the (re)insurance…
Cyberterrorism: A Risk Assessment
Technological advances in communications, computing and computer networks are exposing new vulnerabilities that terrorist groups can exploit, making cyberterrorism a potential security concern. The media has extensively discussed this issue, invoking images of massive economic losses and even larger-scale loss of life from a cyberattack executed by a terrorist group. But just how real is the threat that cyberterrorism poses? Fortunately, the fear…
Cyber Risk Modeling and the Data Skeptics
Cyber modeling is growing up and is now more widely accepted by cyber insurers around the world. Despite the many advances that have improved the model over the past four years, some are still skeptical about cyber modeling, claiming that there’s insufficient data. We believe they’re wrong and that cyber modeling can be used effectively for managing exposure and underwriting. In this webinar, we will take a closer look at the extensive data capture conducted by…
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