In The Press

Parametric Insurance – Hurricane Insurance for Florida

05.07.2018
Natural Hazards
blog hurricane florida

As MIC Global gears up to launch its first parametric insurance product in partnership with AXA and Brokerslink in Miami, Fl, we thought it a good time to open up a discussion on the subject. The product is Hurricane Insurance for Florida.

Parametric insurance or index insurance is growing in awareness across many industries and locations, however adoption of such insurance can be challenging for all concerned. However MIC Global makes it easy.

Insurance companies can be reluctant to offer index or parametric insurance owing to the perception it’s difficult to assess and overall, complicated to evaluate. Many insurers lack the needed knowledge and technical understanding to develop a sustainable and profitable parametric insurance solutions.

This is a pity since today many things can go wrong owing to population growth, urbanisation, climate change, technological growth and an overall growth in economic activity around the world. This environment should be ideal for insurance – the aim of insurance is to offer resilience to its customers in time of need, this is the fundamental thing insurance offers – a way of recovering when things go wrong. As the world grows more complex, insurance should grow in importance and prominence.

The way insurance responds is a challenge. Insurance gets a bad press owing to the policies being complex and when the time comes to make a claim its often hard and time consuming. Consumers and business owners can feel let down in their time of need by their insurer. Greater use of technology and awareness of the customer in insurance is causing changes however and parametric’s is just one example of this.

Parametric insurance is being talked about more and more across the global insurance and reinsurance industry and is often linked to the fact that of all the losses in the world many are not covered by insurance. In the developed world only 30% of losses are covered and in the developed world it is less then 10%. With weather related losses growing this situation is only going to get worse. Parametrics is a way to tackle this protection gap.

The case for parametric insurance is growing and it has several advantages over more established forms of insurance. Parametric insurance can be developed to cover specific needs and can offer very commercially viable forms of protection owing to the high use of tech such as Artificial Intelligence (AI) and Machine Learning to monitor and trigger the insurance payments. Data is the key and new data sets are being used together with technology such as Internet of Things (IoT) and other sensors and devices. Gaining a strong correlation between the insurable risk and the data is key.

Parametric solutions are suitable for many instances, building resilience into personnel lives and commercial businesses alike. Building a suit of products that can be deployed globally based on a set of technology and data points is possible. This is matched with the ability to monitor and manage the claims process with high levels of automation.

Clarity and communication is key to its success, ensuring that customer understand the product and can see and join in with the use of the product. Data analytics and visualisations aimed at the insured can be developed to aid the communication of the policies and these can be transparent to the user, showing in real time how the policy is performing against the event(s) under the policy.

Perhaps this will see customer satisfaction levels move off rock bottom!

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In The Press

Small Business – Scammers Want You!

04.23.2018
Cyber Security
blog email

Scammers don’t just target big companies, it’s small business too! In the press you hear all the big numbers from big events – WannaCry – 250,000 computers globally and parts of the UK’s NHS, HBO’s Game of Hacks – HBO lost data and new releases, NotPetya – Maersk was one of the biggest headlines, Facebook and Google fall for Targeted $100 million Phishing attack, THE Equifax Breach, 3,000,000,000 Yahoo’s and this is just a few from 2017.

Behind these large headline grabbing events are the many micro and small businesses that are also being attacked. Its not true that hackers only go after large businesses. Scammers and Hackers throw a wide net and small businesses are falling into their traps.

For small business security is often not a high priority and many companies don’t have the skills to avoid scammers. For this reason they are often caught up in the scams and attacks and are vulnerable to loosing data, suffering financial loss or worse reputation damage.

Most cyber-attacks start with phishing, this is a technique where a hacker will try to trick you into giving away sensitive information that will allow them to break into your accounts.

Phishing attacks usually come via email, often disguised as something legitimate – the use of the Tax office is a common attack or, recently, mass attack where hackers sent out fake Uber receipts, with a link at the bottom to a bogus complaints website. These emails looked genuine, the hacker is trying to get you to click on something and when you do….. you give the hackers access to your system.

So how can you tell the fake emails from the real ones? The first thing is to be aware, know that it can happen to you and your company. It can be tricky to see, but these are the top tips.

  1. Don’t click links blindly – think before you click. Use your mouse to hover over the link, this will show you the URL. If that doesn’t match up to the URL you’re expecting, then delete the email.
  2. Treat emails with attachments with suspicion. Attachments are used to down load packets on to your machine. If you receive an attachment that you’re not expecting and you don’t recognise the sender, it could well be a phishing attempt. Delete.
  3. Again on attachments – sometimes you can be asked to “enable macros” when you open it. Don’t, unless you know the person and it is from their business email.
  4. If you’re in any doubt about the legitimacy of an email, don’t open any attachments from it or click any links. Always check with the person – using a NEW clean email or phone – replying to dodgy emails might be playing right into the phisher’s hands.

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In The Press

No Single Future of Work

04.21.2018
Sharing Economy
blog holdingmoney

There is no single future of work. The only more certain thing is that all work will change, hours, terms, tools, colleagues, coffee and hopefully the commute.

Today all the buzz is about Uber, Upwork, AirBnB and anything with a blockchain or is sharing something. In my earlier life I worked for Microsoft and when I told people who I worked for, they had never heard of it, yet we all believed we were changing the world just like the millennials of today. The big difference is the buzz around the importance of technology and the changing work place.

A recent report from Australia focuses on Uber’s rapid growth as it becomes the cheerleader for the growth in the freelancer or gig economy. This new economy is being touted as giving people all the flexibility they want with the ability to work. The freelancer economy is where people perform work on an irregular, on-demand basis, paid by the task, and without the stability or security of traditional paid employment.

As this model has grown globally and especially in the conservative labour law based western economies, the freelancer model is raising concerns about the erosion of labour standards, minimum wages, paid leave, wait time, maternity and other benefits.

The report uses simulations and shows that typical Uber drivers earn much less than would be required under relevant minimum wage standards in Australia.

The report highlights that the headline rates are soon cut down by all the deductions bringing the overall income levels down. This is the problem with many of the freelancer and sharing economy jobs, however the flip side of the value, flexibility, is often not added back. The fact that people can and do have more than one stream of income allows overall a very flexible way to build up good income levels. However the report shows that these workers end up earning less than the minimum wage of a country and states that this is a ‘subsidy’ and this has allowed for Uber and other companies, rapid expansion.

The arguments miss the benefits of what these companies have brought and the technology has enabled. From the best education being available to ‘anyone’ (internet being available) in the world to enabling a new arrival in a strange new city being able to actually get a job that starts them on an employment journey.

These benefits will become more critical, especially in the countries where there is a growing number of people entering the workforce at the same time as when automation is becoming a stark reality.

Approximately 300 million people will be entering the workforce in the next 10 years, a third of those from India. This requires not only skills acquisition but in a form of experiential learning which makes those skills applicable on the job from day 1.

The ability to find and build income through new platforms, have access to build new skills and to grow skills are all key to building a new partnership with technology, allowing individuals to have flexible work patterns – which leads us to the growth of an open relationship between universities, technology and industry partners. The future of work is flexible, adaptable and changing.

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In The Press

Time to Take Back Your Data?

04.06.2018
Cyber Security
blog socialdata

Recently, well for the past 3 years or so, there has been an increasing focus on the insurance industry to change and for users to have simplified processes. This focus is even more apparent to enable shared economy insurance and Gig worker or freelancer insurance to work. The pressure has been put on the existing players in the industry to shake up and start to work out how to build tailored insurance policies that are fit for purpose in this new shared and gig world of work. Progress? Right now, it’s just hard!

This difficulty is starting to allow new companies to come in and threaten the existing players. This is a good thing and we are seeing the industry embracing these new companies and accepting them.

This was all looking like an interesting play for the likes of Google and Facebook. That is until you hear that Facebook now have said that most of its 2 billion users could have had their data accessed improperly, giving fresh evidence of the ways the social-media giant failed to protect people’s privacy while generating billions of dollars in revenue from the information.

These companies want to do everything (books, to travel; insurance to home cleaning) and use their power over the data to exploit their users. But now we see the cost.

“What we didn’t do until recently and what we are doing now is just take a broader view looking to be more restrictive in ways data could be misused. We also didn’t build our operations fast enough — and that’s on me.”

Sheryl Sandberg, COO Facebook

Their focus is on ‘customer experience’ and sucking every business income stream into their machine. Google and Facebook use AI and machine learning to read data and monitor your usage of their technology to serve you up what they think you need and what’s profitable for them. This data usage has been abused to drive revenue to match their huge future focused valuations.

The new InsurTech / FinTech start-ups are focused on ‘customer experience’ too. This is defined by cutting down questions to a minimum, using ‘social’ data to fill in the blanks to give you a quote for insurance or a loan. These companies use customers social media, third party apps and other accounts to gain information to provide quotes and service with minimum input from the user. But what data is being used and who checks this? And do we ever read the small print?

Is this acceptable? Is complying with new data protection rules enough? Or is it time to take back your data?

When I ask data professionals about taking back your data they shrug and say it’s out there already, so what’s the point. I disagree with this and think now is the time to take a stand and we should stop accepting that companies have a free flow use to your data and just scrape and access data for on the back of providing customer experience.

For example, Facebook’s search tool to find other people, now disabled, has been used to scrape public profile information, and now Facebook have said “Given the scale and sophistication of the activity we’ve seen, we believe most people on Facebook could have had their public profile scraped in this way.” They just noticed this? This was a feature built into Facebook for customer experience.

It’s interesting that Facebooks main defence from Mark Zuckerburg is:

“We didn’t take a broad enough view of what our responsibility was and that was a huge mistake.”

These new young, keen, naïve, start-up companies who want to take over the world live in their own created bubbles – thinking everyone is like them, that they know what an ‘experience’ is and that everyone wants to know who joined, who could be a friend, who’s got a new job, who your friend is dating, etc and allowing this free use of data to create value, not for the user, but the company. This practice is in DNA of these companies, exploiting date is a core theme. It’s the route to their value.

Having worked in the very often slow and frustratingly compliant world of insurance I can say exploiting data is not at its core, risk management is. Hence the customer experience is very very poor for most insurance interaction. It is no wonder that the Insurtech focus has been on ‘experience’ as their main ‘disruption tool’. But at what cost, and shouldn’t the user want to know what data is being consumed to give their quote?

There needs to be a balance between using ‘social’ data and re-modelling the insurance. Real work needs to be done on the very fabric of the way insurance works for the shared economy and gig economy insurance to make the whole experience work. Not just the buying of insurance but the whole process – end to end. Even where the policy lasts only one night or one hour. It’s not about scraping data and using social accounts its about real work dismantling the policies and the process to give insurance focused processes and to show the customer what data is used and how this impacts risk management in the event of a claim.

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In The Press

Sharing Economy – Want Insurance but Can’t Find What You Want?

03.10.2018
Sharing Economy
blog binoculars

As companies grow, their risk management programs generally evolve with them and the insurance industry has gotten used to working each year (once a year) to update the plan or add new features. Companies used to grow at a certain rate and their insurance programme evolved along the same pace. For traditional industries, it can take years to move from one structure to the next. This works very well for the insurance industry which is the quintessentially traditional industry.

Skip forward to now, today. Companies operating in the new world of the sharing economy and gig economies – the tech lead platform businesses, where assets or services are provided by one side of the platform and the clients clamour to use them on the other side – growth rates can be high, extraordinarily high for a few companies. Suddenly this scenario is very different for the insurance industry. They want Sharing Economy Insurance. Insurance built for the sharing economy.

For the companies operating in the new sharing economy, their risk profile evolution happens at a much faster rate. Because of this many of the risks they face are new exposures that are unfamiliar to the commercial insurance market. Not new as such, but upside down or put on their side. The ‘traditional insurance’ companies and markets can’t seem to grasp the sameness, they only look at the differences.

The result of this is that these sharing economy companies tend to be faced with markets that find them less understood and especially as they expand quickly, leaving the insurer capacity limited, meaning that the pricing may be higher and restrictive.

The upshot is that the programs are hard to place and then can be short lived as the costs push them quickly towards being ‘self-insured’.

Are their alternatives?

Captives, a useful insurance vehicle, can provide sharing economy companies with an alternative and many benefits, these are the reasons why companies form captives:

  • Insure otherwise uninsurable risks
  • Control your insurance costs
  • Gain more control over cash flow and budgeting
  • Self-insure your co-pays
  • Adjudicate and control claims
  • Retain investment income
  • Control the investment of the net premium
  • Manage unpredictability of future losses
  • Reduce unpredictability of uninsured losses charged to earnings
  • Create a strategic advantage in negotiating with insurance companies
  • Generate underwriting income
  • Generate investment income

With the ability to gather significant amounts of data with ease, firms with sharing economy models are prime candidates to support and operate alternative risk structures to solve their unique insurance needs.

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In The Press

Global Access – Sharing Economy Insurance

03.05.2018
Sharing Economy
blog globalaccess

In today’s world, where companies start and then want to grow nationally, internationally and then globally all in a fraction of the time it used to take, companies need access to new types of partners to support this fast paced growth. For a traditional hotel chain, such as Hilton, the cost of this fast-paced growth would take billions in building investment, for the new economy, the sharing economy world, what you need is great staff, an app and a movement.

This development is by no means simple. It takes an investments of a different kinds, but it is less restrictive in terms of state and country boarders, plus it can be much much faster. It’s one of the reasons why the hotel chains failed to take on Airbnb. These new companies need new thinking and older companies just don’t have it within their ranks.

You would never had gone to the radio companies in the past to produce your television programmes. It takes new people with different skills.

The other dilemma for these new sharing economy companies is access to global partnerships. New types of partners to help and support these new economy companies. Finding companies that have global ambitions and technology that the platform businesses can plug into to support their own growth in areas such as trust through insurance for example.

Insurance is typically poor at technology, marketing and dealing with global issues. Their compliance, whilst very protective, also slows the industry down. It can be very hard to put a global insurance program together based on new areas of risk or a new way of looking at the risk.

On the technology front, brokers and, in many cases, insurers have poor technology infrastructure, relying on local and regional portals that are not capable of scaling to cover volume business internationally. Claims are outsourced to third parties and they have little interest in the data analytics of the business, particularly when focused on continual process improvements.

What is the answer to finding partners? It is to look very carefully before committing, particularly to insurance partners. Companies can quickly have a patchwork of different insurance offerings and be stuck with only partial cover. Companies need to decide if they want to invest in tech to make it efficient and have a team managing the insurance placements, this is all none core business investment.

The global brokers and insurance companies are not always the answer. They have limited resources to put on to this, particularly when it comes to machine learning (ML) and artificial intelligence (AI) technology. They have little to knowledge of platforms and what sets these businesses apart from their normal ‘annual’ traditional core placement businesses.

The partner of choice should have a global capability, access to local knowledge, be investing in ML & AI for partner solutions and have a keen interest and knowledge of the shared, gig, freelance economies.

Take care, look before you leap.

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In The Press

Not Secure By Design?

02.07.2018
Cyber Security
blog go

2018 has kicked off not so well with the outing of basic flaws in the worlds core technology. Spectre and Meltdown show new threats to companies building complex machines and systems to run our lives and upon which we are encouraged to become more and more dependent.

The issues allowing Spectre and Meltdown are built into the basic design of the systems, meaning that these vulnerabilities bypass our software security measures. It is not just desktops or your laptop or only at work, it’s the whole system – mobile, cloud, IoT, servers, tablets…all technology.

Why were these now seemingly basic flaws not noticed years ago?

Our computer systems are growing in complexity and with more and more layers and interaction, the complexity is outstripping our ability to fully understand how it all works. The systems are built to rules and standards that have not been security tested as a whole. Add this to that, put in one of those, add some software, connect to a router, voice enabled and with none of these devices and systems being tested for security from the ground up in design. They are all built to the same standards and using standard components

As we use this complex technology and leave it online, connected into new and old systems, they are providing a tempting target for hackers. This target will be further complicated and expanded with the growth of the Internet of Things (IoT), as we build capabilities into all our devices, tools, home appliances, cloths and garden furniture, all in the name of making our lives easier. With this ‘ease’ comes ever more complexity and as it turns out higher risks.

Market researcher IHS Technology estimates the number of devices using IoT technology will reach 53 billion by 2020, and this is early days – just like the spread of electric power in the 1800’s, the spread of IoT and AI is only just starting.

With this growth so goes the exponential growth in cyber-attacks. Not only attacks of a more traditional nature but now we are to contend with attacks that cannot not be fully detected as the ‘security hole’ being exploited was built into the base design of the computers and systems.

This is the basis of the Meltdown and Spectre attacks which come from combining unrelated design features that were thought to be well understood. Computer science 101 if you like. The attack was not via one individual system or but through the interaction between them, the complexity that humans think they know, but don’t. Its outside our capabilities or understanding.

It’s a bit like Move 39……

The move occurred in a Go match between AlphaGo and Lee Sedol, one of the world’s top players, in 2016. As he approached the match series he was confident. He lost the first match, but he thought he knew why. In the second match we got to move 39 played by AlphaGo. The move perplexed not only Lee but all the commentators saying they would not have played the move, many thought it was a mistake. This was outside the collective expert’s knowledge. It was highly unlikely that any human would have played the move.

However, it was this move that caused the loss of the game. In review afterwards Lee Sedol said that he now has a new understanding of the game of Go through these matches with AlphaGo and respect of the machine. After playing, and losing to Alpha Go, he went on to win more and more games with this new understanding.

Go, a game played by millions, and for centuries, has been given new insights by a machine. This same reasoning should be applied to our security world, developing new mathematical models that will understand the complexity and show us Move 39 before it hits us hard.

Machines see the world differently to us. A machine, like AlphaGo, can see many more moves than any human. New machines need to look at our complex world and model our security in partnership with humans.

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In The Press

To Blockchain or Not to Blockchain

01.05.2018
Insurance Industry
blog blockchain

By now you must have heard of blockchain and cryptocurrency creating the buzz of the moment.

There are many articles on the internet currently raving about what Blockchain is and how it could potentially disrupt the world as we know it. This article is not about that but rather about the reason we as a company (MIC Global), have made the decision to use blockchain and why we see it as important for our customers.

Back in the mid to late 1990’s, a few early adopters got excited by this new buzz called the internet, a risky concept that was at the time either being laughed at, or simply ignored. A very few of those early adopters scraped through, promising to re-invent whole new industries and have managed to do so, becoming the new companies that we now look up to. By 2010, it was no longer a question as all saw the point and joined the bandwagon, and as we know the rest is history.

So, is blockchain the new buzz to consider for our future? What is the big deal about blockchain? For now, we know that basically it changes the rules of how things use to be and is posed to disrupt industries, just as the internet did.

The real question now is this; what is so important about Blockchain and why do we need to pay attention?

There is an old adage about how on the internet nobody truly knows who is really behind a profile but with Blockchain, that is all about to change! Yay for online dating or padding out your life on Facebook or enhancing your LinkedIn profile.

The issue has always been about trust. How do you trust anyone, or even worse how do you know that you can trust these platforms? To TRUST something today is difficult; there are many businesses and processes built to exploit us. Platforms making %’s on the actual service or process you want or those they make sure you need. You pay, and this cost is built into the systems and products you use. These ‘real trusted’ relationships all must be paid and defended.

Just like selling books online was initially rejected by the traditional industry 20 years ago, many institutions today are very sceptical about Blockchain replacing their value. These are the intermediaries (banks, brokers, lawyers, consultants, etc) who are there to guarantee this real-world trust.

Blockchain aims to virtualise this. It is like the internet was aiming to do back in late 1990’s to shopping. There are now some who are starting to experiment with this new digital technology to defend or build new ‘central’ control and management systems.

Why are they starting this now?

Recent technology waves, e.g. the Internet of Things and the proliferation of smart mobile devices, have all gone global and have given digital attributes to the physical things, i.e. door bells, thermostats, location, motion. This is reminiscent of the spread of broadband that finally kicked off the growth of sales and social on the internet in the early to mid-2000’s.

This digitisation of ‘things’ directly endows physical objects with information and intelligence making the physical virtual. Conversely, because of the Blockchain’s in-built immutability, the data that is generated becomes ‘real’ – it collects physical attributes.

This allows us to consider new products and services, generating a whole new value chain with trust built in and removing the cost and friction of working through the old world of layers of centralised institutions and intermediaries of trust.

No wonder that 2017 saw a big switch with leading institutions and even governments building real applications using blockchain. In India, SBI and 27 other banks joined hands to form BankChain to enable smart contracts and store KYC details. American Express and Santander has partnered with Ripple to enable real-time cross-border transactions. Estonia wants to become the first digital nation with its own cryptocurrency.

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AI and the Insurance Industry: Is It a Threat or an Opportunity?

12.16.2017
AI
blog chess

I hear every day of Artificial Intelligence (AI) startups that are or about to revolutionise this business or that. Today, for example, I was reading about “robot investigators” being widely used to examine documents in complex Serious Fraud Office (SFO) cases. Normally the SFO would use around 30 lawyers over many weeks for a case. Using an algorithm instead, the SFO said it took a tenth of the time to sift through this very complex case and, as bonus, the SFO reported that the algorithm is much more accurate.

Does this mean 100’s of lawyers will be out of a job? That AI will take all our jobs? Possibly.

I take a different view of this new technology when I think of the future, and I use the game of Chess as an example.

IBM’s Deep Blue computer won its first game against a world champion in 1996, in that match Deep Blue whilst it won a match it was overall defeated by a score of 4–2. Over the next year Deep Blue was upgraded, and played again in 1997. Deep Blue won the six-game rematch 3½–2½ and became the first computer system to defeat a reigning world champion.

Recently AlphaZero, the game-playing AI created by Google sibling DeepMind, beat the world’s best chess-playing computer program, having taught itself how to play in under four hours!

So, chess is over right – I mean what’s the point?

Obviously, this is not true, chess is still a great game and more people can play chess on phones and other devises, both learning the game and pitting themselves against chess software. Tournaments are held where Chess Masters, each with computers, do battle in games that are every bit as close and exciting as they ever were. It’s just that the humans have been upgraded, a kind of chess cyborg that elevates even novice players to greatness.

Using this as a template we can return to the use of AI for business. I believe that AI will change nearly every job and wipe out some along the way. It will also create jobs, enabling businesses to become far more insightful and smart and customer facing that ever before. Products, service and insight like never before will be available and delivered at a cost that today we cannot imagine.

Looking at my industry, insurance, data has always been at its heart but poorly used. Data is traditionally split, rekeyed and divided as the customer’s policy is processed through agents, wholesalers, brokers, underwriters, reinsurance, claims and on and on.

Today, there is an ability to create and uncover insights at speed, in real time, and this is pulling process, data and information together. AI and machine learning is and will be used in many ways – the insurance cyborg is coming our way! This is critical for shared economy insurance to work.

This is a BIG win for customers and where they will notice the most is around customer service. Insurance is known to be one of, if not the worst industry when it comes to Customer Service, so it won’t be too hard to be impressive!

What will customers notice? The successful new insurance companies and intermediaries will focus on instant customization, instant claims payments, more frequent relevant touch points to the customer and transactional short-term event based policies that customers will be demanding to meet their event based work and leisure lifestyles.

AI will allow the industry to move away from the constraints of the product and focus on service and doing what insurance is all about – managing risk and paying claims when certain conditions are met, all at a reasonable and understandable cost.

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Cyber Security – Has Anything Really Changed?

11.20.2017
Cyber Security
blog cybersecurity

When the founders of MIC Global first met in 1999 they were focused on understanding the emerging cyber threats that were starting to swirl around the internet and internet based businesses. They became busy building insurance products to help businesses manage these risks.

Since then they have seen the sophistication and number of attacks grow massively with numbers of affected accounts per attack grow to staggering levels. Back in 2000 it would have been almost unbelievable that a single attack could affect over 3 Billion accounts as the 2013 Yahoo case has now finally highlighted. It is also still hard to understand why it took Yahoo so long actually discover the attack. They are meant to have employed the best brains after all.

However, if we look at how our homes and businesses have changed over the past 20 years perhaps we can start to understand this. These changes have drifted into our lives through small incremental steps that have almost gone un-noticed and yet have managed to deliver mind boggling change. How can we or anyone keep up?

Is this the underlying issue that we don’t deal with, keeping up with these small changes and never adding up the true impact?

The sum total of these changes today has completely turned upside down and inside out the way many people run their lives and how small businesses communicate and do business.

We Google everything; Facebook our lives; Uber ourselves home; Stay on airbeds in stranger’s homes; You Tube anything; WhatsApp instead of phoning; Open Online accounts for everything from banking to accountancy to TV to car hire, Have Virtual Assistance for all things useful that we have hired a person for in 1999; Booking a cleaner online and being worried about every review; As for cars, Self-driving cars and trucks are here. The list is endless, and people say its only just started.

Today, as in 1999, we are being asked to ‘Trust’ these new companies as they build the new economies around us. However, the levels of security the companies offer us don’t seem to have changed much.

When we read the scary reports about cyber-attacks nothing much changes in terms of the advice we are given about what we are meant to do to secure our online world; Strong Passwords; Back up everything; Anti-virus software; Firewalls. And finally, Don’t Clink on a Link Unless You Know Where its From – TRUST Nothing, yet trust the new company?

This was the advice 20 years ago and it’s not changed despite everything about the internet getting more complicated and its penetration into our lives going exponential.

Why has nothing seemed to have changed?

A recent survey by Netwrix pointed to the most common reason people and businesses are not so sure about their ability to combat information security threats, these being 1. Lack of budget 2. Lack of time 3. Insufficient training. Or, in other words, we are only human, and we are the weakest link, we are the ones who do nothing.

But if businesses do nothing then, as we hear every day, the consequences can be catastrophic, not just for your business but also for the people you do business for and with.

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