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Formerly Moody’s RMS

The recent call by the Association of British Insurers (ABI) for the U.K. government to mandate the reporting of cyber-attacks is another welcome attempt to improve the collective learning opportunities presented by the continuous stream of cyber events. Every attack provides new data which can be fed into probabilistic models which help build resilience against this growing corporate peril – so long as we are able to find out about those attacks. Thus initiatives like this, which will lead to the sharing of valuable information and insights, are paramount.

Reporting cyber attacks is already mandatory in most U.S. states where laws require companies to notify their customers and regulators as soon they suffer a security breach. In 2018 a similar EU law, The European Network Information Security Directive, will make it mandatory for certain firms to provide alerts of cyber incidents.

However, having more information on data breaches still only provides just part of the picture required to fully understand cyber as a peril.

Current security breach notification laws, where they exist, do not require companies to report the many other types of cyber-attack that are increasingly being used to target organizations. Cyber extortion, for example, is a growing trend. Firms typically choose not to report this type of attack to limit damage to their corporate reputation.

Historical attacks not a good indicator of the future

While having access to data on historical cyber breaches is valuable, the threat is constantly evolving, such that previous attacks have rarely been a good indicator of future events. Even a small shift in the balance between the capabilities of hackers and cyber defenses could lead to a significant shift in the frequency and severity of cyber attacks.

Staying on top of the myriad of threat actors and their motivations and resources, as well as having a broad view of the range of viable attack methods that exist today, is crucial to understanding and managing cyber risk. But is challenging to manage.

As a first step to help insurers better understand their existing cyber risk loss potential, RMS recently launched its Cyber Accumulation Management System. This tool provides insurers with a framework to organize and structure their data, identify their accumulations and correlated risk, and stress test their portfolios against a range of cyber loss methods. Having this capability enables insurers to understand the potential size of cyber catastrophes and set their risk appetite to safely grow capacity for this line of business.

Cyber attacks are an increasingly significant threat to the global economy. The combination of new cyber risk management solutions combined with initiatives such as mandatory reporting will help the insurance industry to continue to play its crucial role in ensuring the resiliency of our economy.

Contact the RMS cyber team for more information cyberrisk@rms.com.

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October 10, 2019
Cyber Risk Seminars Introduce New Solutions to Address Evolving Threat Landscape

During September, RMS ran a series of cyber risk seminars in London and New York. These half-day events coincided with the release of RMS Cyber Solutions version 4.0 and featured both RMS and industry experts discussing cyber risk and the opportunities for the cyber insurance industry. At both events, the day kicked off with Dr. Andrew Coburn, senior vice president for RMS, examining recent developments within the cyber risk landscape by outlining the approach RMS takes to tracking and categorizing the wide range of evolving threat actor groups. He also proposed some key future trends, such as the potential impact of a “gloves-off” nation-state cyberattack and its implications for the cyber insurance industry. Former ethical hacker Eireann Leverett dug deep into the topic of contagion mapping and how hacking groups – both good and bad, are utilizing innovative techniques to map out the digital world. He also touched on the growing use of deepfakes in spear phishing attacks, whereby executive identities are faked to trick employees into fraudulently transferring funds out of the business. To provide the industry’s perspective, we were delighted to be joined by two expert panels in London and New York discussing the cyber market and the role of models to support growth. Thanks to Jamie Pocock (Guy Carpenter), Laila Khudairi (Tokio Marine Kiln), Rory Egan (Munich Re), and Kirsten Mitchell-Wallace (Lloyd’s) for participating in London, and to Anthony Shapella (AIG), Jon Laux (Aon), and Kara Owens (Markel) in New York. RMS Cyber Risk Seminars held in London (left) and New York (right)For the second half of the agenda, members of the RMS cyber team focused on the release of RMS Cyber Solutions version 4.0. This release features substantial enhancements to the RMS model and capabilities across several key areas including exposure data enrichment, expanded model data sources, and new stochastic modeling approaches to quantify cyber risk. Dave Gatey, senior director – modeling for RMS, revealed how new modeling methods, such as agent-based modeling and multi-compartment models were being used in RMS Cyber Solutions v4. Chris Vos, lead modeler for RMS, took to the stage in New York, and myself in London, to give context as to how these improvements to the model and software will assist clients in understanding their cyber risk and therefore making better decisions for their business. In New York, the RMS cyber seminar was followed by a half-day terrorism seminar. Introducing RMS Cyber Solutions Version 4.0 For many insurers, obtaining complete and accurate exposure data from cyber submissions remains a challenge. Often, these submissions are missing key information such as business revenue, profit, or business sector – all attributes that are critical to understanding the potential effect of cyber events. To address this, RMS has released a company database consisting of 13 million companies across 30 countries, alongside a data enrichment engine that uses a custom similarity matching algorithm to allow users to enrich their exposure data. This will help ensure the inputs into the model are as accurate as possible, reducing model uncertainty, and minimizing an insurer’s data collection efforts. Although historical data does not show you the whole picture when it comes to cyber risk, it is still critical to inform the lower return period scenarios. To enable this, RMS has invested substantially in automating our historical event data collection techniques by employing bespoke machine learning algorithms that extract event data from hundreds of thousands of unstructured data sources. These new data sets cover multiple event types including breach, malware, ransomware, and cloud outages and allows our v4 model to be run at a significantly increased level of granularity, supporting greater risk differentiation. RMS has continued to research the causal processes that drive cyber risk, working closely with our partners across cybersecurity and academia, to map out and build simulations of these underlying processes. By stochastically modeling these individual components and applying game theory models to explore threat actor behavior, we can extract probabilities associated with both short- and long-tail cyber events. Investing in Cyber-Physical Loss Models Finally, RMS has maintained its substantial investment in cyber-physical loss models. These models take data from the EDM (the RMS property exposure data store) and other casualty classes to quantify the impact of clash-type cyber catastrophe events such as power blackouts. This allows insurers to explore the potential for silent cyber losses across their business, supporting regulatory reporting. Many insurers are exposed to this type of cyber risk, even if they don’t write affirmative cyber insurance policies. These new insights and models continue to be delivered within an open modeling framework, allowing complete transparency into each of the modeling components. This transparency allows users to validate each component and create custom models to support their own view of risk. This new solution from RMS represents a significant step forward for the insurance industry to model its cyber risk. For more information, please contact cyberrisk@rms.com.…

cyber event
July 03, 2019
The Future of Cyber Risk
Tom Harvey
Tom Harvey
Head of Cyber Product Management, RMS

Tom is the Head of Cyber Product Management for RMS, and since early 2015 has worked together with the Cambridge Centre for Risk Studies and RMS’ development partners to bring the RMS Cyber Accumulation Management System and subsequent RMS Cyber Solutions to the market. Tom joined RMS in 2013 as a technical sales expert assisting a number of leading (re)insurers further their catastrophe management practices.

Prior to joining RMS, Tom spent 4 years at Hewlett Packard Software within the European presales team working closely with a number of HPS’ IT security products.

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