The cybersecurity industry is currently experiencing an epidemic. No, I’m not referring to the complex and sophisticated malware that is being generated in increasing numbers every day, but the availability of skilled personnel, available to prevent or remediate them.
In 2018-2019, 53 percent of organizations reported a "problematic shortage" of cybersecurity skills according to CSO Online. Cybersecurity Ventures predicts there will be 3.5 million cybersecurity job opening by 2021. A report coming out of Australia found that 88% of IT decision makers believe there is a shortage of cybersecurity skills within their own organization, but also nationally.
This alarming trend is seriously disadvantaging security efforts. At Deep Instinct, we’ve seen for a while now that security talent isn’t where it needs to be to help curb the cybercrime epidemic and until this is rectified, the industry continues to be outpaced by malicious actors.
To stem this development, organizations need to adopt the mindset of malicious actors. This is not a mindset that can easily be transitioned into by occupational cyber experts or engineers. It draws on the skill set of those who have experience in cyber warfare, understand the objectives of an attacker and can identify the product architecture that’s required to undermine their efforts.
Unfortunately, the reality is that this gap between the threat capability of modern-day attacks and the skilled personnel able to mitigate them, is perpetually widening.
Organizations should also be looking to make sure that the solutions they purchase minimize the pressure on security personnel, rather than exacerbate it. The incorporation of next generation cyber technology, such as Deep Instinct, the first platform to apply deep learning to cybersecurity, reduces dependency on security experts in a few different ways:
For more information on how to address the cybersecurity skills shortage, read the full article.
About The Author
Guy Caspi, CEO & Co-founder, Deep Instinct
A serial entrepreneur, Guy Caspi has spearheaded companies in senior positions through entire life cycles, from start up, accelerate growth and up to IPO in Nasdaq. Guy has in-depth knowledge of machine learning and deep learning assimilation in cybersecurity, which he has applied to his unique go-to-market execution experience.