Column: Risk Management

Sizing Disaster

By: | November 1, 2017 • 3 min read
Joanna Makomaski is a specialist in innovative enterprise risk management methods and implementation techniques. She can be reached at [email protected]

I write this column in a week following many serious natural disasters — Hurricanes Harvey and Maria and the less discussed Hurricane Nate. It is the impact of Nate, specifically, that I feel personally. I spend much time throughout the year in the beautiful country of Costa Rica.


This week, the tropical storm surges of Nate caused many deaths and left thousands of people, some of them friends and neighbors, desolate.

As of today, many of my friends are still without water, power, roads, bridges and essential services. Rivers exploded from flash flooding and washed their homes and land into the ocean in just a matter of hours.

Worse still, people had to sleep in trees as to not to be eaten by crocodiles, which are now swimming freely in streets and back yards.

The average wage in Costa Rica is about $4 per hour, so the idea of buying insurance is a pipe dream for most and considered a luxury item for the wealthier. Replacing a basic appliance such as a refrigerator will no doubt be a deep financial struggle for the average family and will likely take a few years to repay or procure. It is heartbreaking.

For this reason, I deeply took to heart the words of President Trump when he clumsily compared Hurricane Katrina to Maria and stated one was a “real” disaster as it had more casualties than the other. As awkward as this statement was, it did make me think.

Do we, in our risk management community, have a consistent way of measuring and ranking one disaster over another? Do we have a system that can clearly paint a holistic picture of the full range of impacts in a catastrophe?

The average wage in Costa Rica is about $4 per hour, so the idea of buying insurance is a pipe dream for most and considered a luxury item for the wealthier.

Quick research seems to indicate we often rank disasters using three metrics: number of fatalities, economic loss and insured loss.

At first glance, these sole metrics are deeply inadequate to portray the true impact of such natural disasters.

What of long-term resultant injuries, loss of uninsured habitat, recovery ability and duration, total population affected, gravity and concentration of property damage, crop destruction, and social damage?

There are so many other effects on humans and the environment critical to understand.

With hurricanes in the U.S. accounting for about two-thirds of all insured losses, we have done much in the way of developing sophisticated hurricane tracking and early warning systems. Truly impressive feats.

This work in turn reduced the number of fatalities and assisted in much-improved evacuation planning efforts. But it feels as if we are left blind to the real magnitude and diversity of impacts.


The fundamental difference between disaster management and risk management is that it is emergency and recovery management. Effective emergency management requires us to pre-quantify and properly size all potential damages, losses and post-disaster needs.

Assessing the potential scale and duration of needs before the return to normalcy and re-establishment of basic services is essential for meaningful disaster planning and budgeting.

I see a need to better aggregate data that measures true diversity of disaster impacts to assist us in future planning.

I would like to see the development of some form of universal disaster index with clear classifications, which has the means of describing disasters in a multidimensional and unified way. Only with that will insurers, communities, responders, government and the public really stand to gain. &

More from Risk & Insurance

More from Risk & Insurance

Risk Focus: Cyber

Expanding Cyber BI

Cyber business interruption insurance is a thriving market, but growth carries the threat of a mega-loss. 
By: | March 5, 2018 • 7 min read

Lingering hopes that large-scale cyber attack might be a once-in-a-lifetime event were dashed last year. The four-day WannaCry ransomware strike in May across 150 countries targeted more than 300,000 computers running Microsoft Windows. A month later, NotPetya hit multinationals ranging from Danish shipping firm Maersk to pharmaceutical giant Merck.


Maersk’s chairman, Jim Hagemann Snabe, revealed at this year’s Davos summit that NotPetya shut down most of the group’s network. While it was replacing 45,000 PCs and 4,000 servers, freight transactions had to be completed manually. The combined cost of business interruption and rebuilding the system was up to $300 million.

Merck’s CFO Robert Davis told investors that its NotPetya bill included $135 million in lost sales plus $175 million in additional costs. Fellow victims FedEx and French construction group Saint Gobain reported similar financial hits from lost business and clean-up costs.

The fast-expanding world of cryptocurrencies is also increasingly targeted. Echoes of the 2014 hack that triggered the collapse of Bitcoin exchange Mt. Gox emerged this January when Japanese cryptocurrency exchange Coincheck pledged to repay customers $500 million stolen by hackers in a cyber heist.

The size and scope of last summer’s attacks accelerated discussions on both sides of the Atlantic, between risk managers and brokers seeking more comprehensive cyber business interruption insurance products.

It also recently persuaded Pool Re, the UK’s terrorism reinsurance pool set up 25 years ago after bomb attacks in London’s financial quarter, to announce that from April its cover will extend to include material damage and direct BI resulting from acts of terrorism using a cyber trigger.

“The threat from a cyber attack is evident, and businesses have become increasingly concerned about the extensive repercussions these types of attacks could have on them,” said Pool Re’s chief, Julian Enoizi. “This was a clear gap in our coverage which left businesses potentially exposed.”

Shifting Focus

Development of cyber BI insurance to date reveals something of a transatlantic divide, said Hans Allnutt, head of cyber and data risk at international law firm DAC Beachcroft. The first U.S. mainstream cyber insurance products were a response to California’s data security and breach notification legislation in 2003.

Jimaan Sané, technology underwriter, Beazley

Of more recent vintage, Europe’s first cyber policies’ wordings initially reflected U.S. wordings, with the focus on data breaches. “So underwriters had to innovate and push hard on other areas of cyber cover, particularly BI and cyber crimes such as ransomware demands and distributed denial of service attacks,” said Allnut.

“Europe now has regulation coming up this May in the form of the General Data Protection Regulation across the EU, so the focus has essentially come full circle.”

Cyber insurance policies also provide a degree of cover for BI resulting from one of three main triggers, said Jimaan Sané, technology underwriter for specialist insurer Beazley. “First is the malicious-type trigger, where the system goes down or an outage results directly from a hack.

“Second is any incident involving negligence — the so-called ‘fat finger’ — where human or operational error causes a loss or there has been failure to upgrade or maintain the system. Third is any broader unplanned outage that hits either the company or anyone on which it relies, such as a service provider.”

The importance of cyber BI covering negligent acts in addition to phishing and social engineering attacks was underlined by last May’s IT meltdown suffered by airline BA.

This was triggered by a technician who switched off and then reconnected the power supply to BA’s data center, physically damaging servers and distribution panels.

Compensating delayed passengers cost the company around $80 million, although the bill fell short of the $461 million operational error loss suffered by Knight Capital in 2012, which pushed it close to bankruptcy and decimated its share price.

Mistaken Assumption

Awareness of potentially huge BI losses resulting from cyber attack was heightened by well-publicized hacks suffered by retailers such as Target and Home Depot in late 2013 and 2014, said Matt Kletzli, SVP and head of management liability at Victor O. Schinnerer & Company.


However, the incidents didn’t initially alarm smaller, less high-profile businesses, which assumed they wouldn’t be similarly targeted.

“But perpetrators employing bots and ransomware set out to expose any firms with weaknesses in their system,” he added.

“Suddenly, smaller firms found that even when they weren’t themselves targeted, many of those around them had fallen victim to attacks. Awareness started to lift, as the focus moved from large, headline-grabbing attacks to more everyday incidents.”

Publications such as the Director’s Handbook of Cyber-Risk Oversight, issued by the National Association of Corporate Directors and the Internet Security Alliance fixed the issue firmly on boardroom agendas.

“What’s possibly of greater concern is the sheer number of different businesses that can be affected by a single cyber attack and the cost of getting them up and running again quickly.” — Jimaan Sané, technology underwriter, Beazley

Reformed ex-hackers were recruited to offer board members their insights into the most vulnerable points across the company’s systems — in much the same way as forger-turned-security-expert Frank Abagnale Jr., subject of the Spielberg biopic “Catch Me If You Can.”

There also has been an increasing focus on systemic risk related to cyber attacks. Allnutt cites “Business Blackout,” a July 2015 study by Lloyd’s of London and the Cambridge University’s Centre for Risk Studies.

This detailed analysis of what could result from a major cyber attack on America’s power grid predicted a cost to the U.S. economy of hundreds of billions and claims to the insurance industry totalling upwards of $21.4 billion.

Lloyd’s described the scenario as both “technologically possible” and “improbable.” Three years on, however, it appears less fanciful.

In January, the head of the UK’s National Cyber Security Centre, Ciaran Martin, said the UK had been fortunate in so far averting a ‘category one’ attack. A C1 would shut down the financial services sector on which the country relies heavily and other vital infrastructure. It was a case of “when, not if” such an assault would be launched, he warned.

AI: Friend or Foe?

Despite daunting potential financial losses, pioneers of cyber BI insurance such as Beazley, Zurich, AIG and Chubb now see new competitors in the market. Capacity is growing steadily, said Allnutt.

“Not only is cyber insurance a new product, it also offers a new source of premium revenue so there is considerable appetite for taking it on,” he added. “However, whilst most insurers are comfortable with the liability aspects of cyber risk; not all insurers are covering loss of income.”

Matt Kletzli, SVP and head of management liability, Victor O. Schinnerer & Company

Kletzli added that available products include several well-written, broad cyber coverages that take into account all types of potential cyber attack and don’t attempt to limit cover by applying a narrow definition of BI loss.

“It’s a rapidly-evolving coverage — and needs to be — in order to keep up with changing circumstances,” he said.

The good news, according to a Fitch report, is that the cyber loss ratio has been reduced to 45 percent as more companies buy cover and the market continues to expand, bringing down the size of the average loss.

“The bad news is that at cyber events, talk is regularly turning to ‘what will be the Hurricane Katrina-type event’ for the cyber market?” said Kletzli.

“What’s worse is that with hurricane losses, underwriters know which regions are most at risk, whereas cyber is a global risk and insurers potentially face huge aggregation.”


Nor is the advent of robotics and artificial intelligence (AI) necessarily cause for optimism. As Allnutt noted, while AI can potentially be used to decode malware, by the same token sophisticated criminals can employ it to develop new malware and escalate the ‘computer versus computer’ battle.

“The trend towards greater automation of business means that we can expect more incidents involving loss of income,” said Sané. “What’s possibly of greater concern is the sheer number of different businesses that can be affected by a single cyber attack and the cost of getting them up and running again quickly.

“We’re likely to see a growing number of attacks where the aim is to cause disruption, rather than demand a ransom.

“The paradox of cyber BI is that the more sophisticated your organization and the more it embraces automation, the bigger the potential impact when an outage does occur. Those old-fashioned businesses still reliant on traditional processes generally aren’t affected as much and incur smaller losses.” &

Graham Buck is editor of He can be reached at