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Infographic | January 23, 2020

With the number of cyber-attacks on the rise, it’s natural to think that this increase of cyber-attacks is due to new actors and technological developments, said Yakir Golan, the CEO of Kovrr, the Tel Aviv-based provider of predictive cyber risk modeling solutions. “The truth of the matter is, cyber attacks are very often a modified version of an old attack. Whether it’s the same attack vector, same tools or the same vulnerability with a new exploitation, similar types of attacks, methods and techniques are likely to reappear in the near future and re/insurers should be prepared and on the lookout for how they can affect their portfolios,” added Golan.

Infographic | June 30, 2022

Customer experience is the single most crucial factor determining loyalty 85% of insurers are using CX initiatives throughout the customer journey & 90% have a c-suite position dedicated to the consumer experience

Infographic | January 8, 2020

The technology risks and manifestations are potentially interconnected, e.g. a breach could be caused by a staff error which leads to extortion which rejected leads to interruption.

Infographic | December 17, 2019

All too often, the same question is asked. What is Professional Indemnity Insurance? Given how many professionals work in Australia, it’s benefits should be more well known. In this infographic, professional Indemnity Insurance is explained simply and easily so you can get the most out of your business insurance.

Infographic | February 11, 2020

Weight is an important factor when it comes to getting your life insurance application approved. In fact, it could be just as challenging to obtain life insurance if underweight, as if you weigh a few extra pounds. We wanted to take the time and touch on this topic. In this guide, we would outline some of the reasons, steps, and tools to help you get the best available option.

Infographic | January 16, 2020

AI can improve productivity and help in decision making through training datasets. According to the survey of the Dataconomy, nearly 81% of 225 data scientists found the process of AI training more difficult than expected even with the data they had. Around 76% were struggling to label and interpret the training data.