{"id":27226,"date":"2019-07-02T09:50:20","date_gmt":"2019-07-02T08:50:20","guid":{"rendered":"https:\/\/digileaders.com\/?p=27226"},"modified":"2019-12-23T16:46:27","modified_gmt":"2019-12-23T16:46:27","slug":"will-data-metrics-scientific-approach-eliminate-human-cyber-risk","status":"publish","type":"post","link":"https:\/\/digileaders.com\/will-data-metrics-scientific-approach-eliminate-human-cyber-risk\/","title":{"rendered":"Will data, metrics and a scientific approach eventually eliminate all human cyber risk?"},"content":{"rendered":"
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In 1971, astronaut David Scott stood before cameras mounted on the Moon armed with a feather in his left hand and a hammer in his right.<\/p>\n

\u201cI guess one of the reasons we got here today,\u201d Scott explains via a microphone hidden beneath his space suit, \u201cwas because of a gentleman named Galileo.\u201d<\/p>\n

Scott is preparing to test of one of Galileo\u2019s famous theories. The theory predicts that, in the absence of air resistance, both the hammer and the feather will fall at the same speed.<\/p>\n

Scott holds both objects in his outstretched arms.<\/p>\n

\u201cI\u2019ll drop the two of them here,\u201d he continues, \u201cand, hopefully, they hit the ground at the same time.\u201d<\/p>\n

Imperfect intuition<\/h4>\n

As several comments below the YouTube clip testify, what happens once Scott releases the objects defies belief. The feather and the hammer descend as equals. Moments later, they meet the Moon\u2019s surface at exactly the same time.<\/p>\n

For those of us who live on Earth, the scene is difficult to comprehend. Our intuition suggests that the heavy hammer should plummet while the light feather lags behind.<\/p>\n

Could our intuition really be that far off the mark?<\/p>\n

The answer is yes \u2013 because our intuition is imperfect. If you need several examples, take a second to look around.<\/p>\n

You\u2019ll be fooled into thinking that the Earth is flat, that it\u2019s bigger than the sun and that the sun must be revolving around our stationary position, all of which have been disproven through scientific evaluation.<\/p>\n

The scientific method<\/h4>\n

Science is, in many ways, the opposite of intuition. Where intuition is the ability to understand instinctively, science is the testing of assumptions through recorded data. Intuition is often imperfect. Arguably, science was born to account for its imperfections.<\/p>\n

Unfortunately, when considering how to reduce human cyber risk, security professionals have historically had no other option than to rely on intuition. The field, after all, is relatively new. But it\u2019s also a field that\u2019s proving difficult to negotiate using intuition alone.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Today, for example, we know \u200braising security awareness alone doesn\u2019t reduce human cyber risk<\/a> \u2013 counter to intuition. Similarly, it seems that demonstrating how to eliminate cyber risk rarely motivates people to do so.<\/p>\n

With today\u2019s \u201cdata revolution\u201d now in full swing, should we consider moving away from intuition?<\/p>\n

Data science is currently making everything from driverless cars to remote cancer diagnoses possible. Could data, measurement and a scientific approach help reduce \u2013 and even eliminate \u2013 human cyber risk?<\/p>\n

Using data to reduce human cyber risk<\/h4>\n

Here\u2019s how it works here at CybSafe.<\/p>\n

First, we interrogate enormous datasets to reveal key indicators of human cyber risk, such as attitudes towards security, for example. A second layer of interrogation reveals the variables that can move indicators of human cyber risk in the right direction (for example, what people think \u200bother people \u200baround them think about security).<\/p>\n

Armed with our metrics, we design, build and launch security interventions that nudge certain variables in the right direction. By continuously monitoring all metrics, we can evaluate progress scientifically and ensure human cyber risk begins to fall. With AI machine learning, the whole process becomes automatic.<\/p>\n

What\u2019s perhaps most exciting is that the above isn\u2019t science-fiction. It\u2019s a method already in use today<\/a>\u200b, with encouraging results. For example, we can now say with confidence that, after a scientifically designed CybSafe behaviour intervention, 91% of CybSafe users no longer exhibit high-risk phishing behaviours that contribute to human cyber risk.<\/p>\n

Time to update<\/h4>\n

While the above is, for me at least, heartening, the question posed at the beginning of this article remains: if our industry continues to take steps in the right direction, will data, metrics and a scientific approach eventually eliminate all human cyber risk?<\/p>\n

Personally, I think that\u2019s unlikely. While \u200bI\u2019m more optimistic than most\u200b<\/a>, I find it difficult to envision a nearby future in which all human cyber risk has been relegated to the history books.<\/p>\n

However, I\u2019m also entirely convinced that a scientific approach, underpinned by deep data-driven nsight, can demonstrably change security awareness, security behaviours and organisational culture for the better, dramatically reducing<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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human cyber risk in turn. It\u2019s irrefutable, and I think it\u2019s time us security professionals updated our collective outlook.<\/p>\n

All the way back in the 16th century, the scientific forefather Galileo Galilei highlighted the advantages of science over intuition.<\/p>\n

Isn\u2019t it time we took the lesson on board?<\/p>\n<\/div>\n

Learn more about CybSafe here.<\/a><\/p>\n

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More thought leadership <\/i><\/a><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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