Talk around artificial intelligence (AI) has reached fever pitch; the technology has become the 'sexy' new thing for companies to be associated with.
And as cyber-security conference Black Hat 2018 kicks off in the US this week, we can be certain that there will be even more talk around how AI and it's sidekick Machine Learning (ML) can transform cyber-security practices for the better - making threat detection faster and more accurate than ever before.
It's working too; people are buying into the hype. According to global cyber-security firm ESET, three in four IT decision makers now believe that AI is the ‘silver bullet’ to solving their cyber-security challenges.
But, if we look more closely, is the hype actually just making matters worse for IT decision makers?
The simple truth is that there is no 'silver bullet' in cyber-security. We've seen how quickly and severely the threat landscape can change in a matter of minutes so it would be near impossible for one universal solution to solve all of a business' cyber-security challenges. The marketing materials that say otherwise are misleading.
What's more, it appears the terminology in these marketing materials could be making matters all the more confusing - as they often interchange the terms 'ML' and 'AI'. In fact, ESET also found that just 53% of IT decision makers think their company fully understands the difference between the two.
In today's business environment, we shouldn't be making things more complicated for IT decision makers. There needs to be greater clarity around the ML and AI in cyber-security because, right now, the hype is muddling the message for those making key decisions on how best to secure their company’s networks and data.
"Overhyping" advanced technologies such as AI and machine learning could cause decision makers to not recognise the real security threats within their organisation.