The Cybersecurity Skills Gap Won't Be Solved in a Classroom

Unfilled cybersecurity jobs are expected to reach 1.8 million by 2022, up 20 percent from 1.5 million in 2015, according to the Center for Cyber Safety and Education. The cybersecurity skills gap isn’t going anywhere. Yet, lack of formal education isn’t slowing down new recruits to the cybersecurity talent pool. There is an army of ethical hackers all over the world that won’t be hired into traditional full-time roles. In the years to come, I predict there will be over a 1,000,000 ethical hackers.

A global study from ESG and ISSA confirmed “that the cybersecurity skills shortage is exacerbating the number of data breaches,” with the top two contributing factors to security incidents being “a lack of adequate training of non-technical employees” (31 percent) first and “a lack of adequate cyber security staff (22 percent)” second. Cybersecurity can be a thankless job. Security professionals are on the front lines protecting our digital society, yet they rarely get called out for effectively defending and always get called out when something goes wrong. We need security teams and they need resources. Thus, the skills gap is widening, education is lagging, and society is paying the price with data breach after data breach.

Computer science programs struggle to offer adequate cybersecurity courses for the next generation of technologists. Of the top 50 computer science programs in the U.S., only 42 percent offer three or more information security-specific courses for undergraduates. Yet, we must acknowledge that this is progress. I’m sure this is far more than what was available five or ten years ago. Today, the University of Maryland College Park, among the top computer science programs in the U.S., offers a cybersecurity concentration for computer science majors. University of California Berkeley also offered a Cyberwar class in 2017 teaching 80 students how to hack for good. Northeastern University offers 11 courses that cover some aspect of security, including a class covering laws, ethics and policy related to digital technologies.

This article originally appeared on forbes.com To read the full article, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

If you would like to learn more, click here.