Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Careers & People

10/7/2019
10:00 AM
Guy Caspi, CEO & Co-founder, Deep Instinct
Guy Caspi, CEO & Co-founder, Deep Instinct
Sponsored Article
100%
0%

The Cybersecurity Skill Shortage Epidemic

The gap between the threat capability of modern-day attacks and the skilled personnel able to mitigate them, is perpetually widening. Technology is one way to close the gap.

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.

  • There are a number of fundamental shifts that need to happen in order to rectify the situation both on a national level and within organizations:
  • There needs to be national level leadership on the issue. Governments need to pursue this issue to the extent of appointing a minister for cybersecurity, who would be responsible for establishing metrics, driving programs and reporting on national progress.
  •  A more thorough partnership between public and private enterprise where national governments adopt a more focused effort on working with the cybersecurity technology community.
  • An integrated industry effort between technology and cybersecurity leaders to ensure that organizations adopt technology tools that work to resolve this issue, rather than amplify it.

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:

  • As an automated zero-time prevention platform, it reduces the range of tasks normally carried out by a cyber security team. As a result of the solution predicting, preventing and analyzing threats autonomously, dependency on humans to monitor and remediate events is minimized.
  • The solution operates in a pre-execution stage, where attacks are prevented pre-emptively, rather than in a post execution stage which require a lot of remediation activity by an expert.
  • The deep learning prediction model also produces a far lower level of false positives. Standard solutions typically provide a false positive rate of 1% which equates to thousands of alerts that each needed to be investigated, inevitably overloading CISO’s and wearing them down.
  • Deep learning is designed to automatically identify the relevant features of a malicious file or vector, without engineering from a cybersecurity expert. This is an important factor for solution providers; it means that they are not competing for the same talent pool as other industry players.

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.

Comment  | 
Print  | 
More Insights
Comments
Threaded  |  Newest First  |  Oldest First
7 Tips for Choosing Security Metrics That Matter
Ericka Chickowski, Contributing Writer,  10/19/2020
IoT Vulnerability Disclosure Platform Launched
Dark Reading Staff 10/19/2020
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
Special Report: Computing's New Normal
This special report examines how IT security organizations have adapted to the "new normal" of computing and what the long-term effects will be. Read it and get a unique set of perspectives on issues ranging from new threats & vulnerabilities as a result of remote working to how enterprise security strategy will be affected long term.
Flash Poll
How IT Security Organizations are Attacking the Cybersecurity Problem
How IT Security Organizations are Attacking the Cybersecurity Problem
The COVID-19 pandemic turned the world -- and enterprise computing -- on end. Here's a look at how cybersecurity teams are retrenching their defense strategies, rebuilding their teams, and selecting new technologies to stop the oncoming rise of online attacks.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2020-9994
PUBLISHED: 2020-10-22
A path handling issue was addressed with improved validation. This issue is fixed in iOS 13.5 and iPadOS 13.5, macOS Catalina 10.15.5, tvOS 13.4.5, watchOS 6.2.5. A malicious application may be able to overwrite arbitrary files.
CVE-2020-9997
PUBLISHED: 2020-10-22
An information disclosure issue was addressed with improved state management. This issue is fixed in macOS Catalina 10.15.6, watchOS 6.2.8. A malicious application may disclose restricted memory.
CVE-2020-9927
PUBLISHED: 2020-10-22
A memory corruption issue was addressed with improved input validation. This issue is fixed in macOS Catalina 10.15.6. An application may be able to execute arbitrary code with kernel privileges.
CVE-2020-9928
PUBLISHED: 2020-10-22
Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in macOS Catalina 10.15.6. An application may be able to execute arbitrary code with kernel privileges.
CVE-2020-9929
PUBLISHED: 2020-10-22
A memory corruption issue was addressed with improved memory handling. This issue is fixed in macOS Catalina 10.15.6. A local user may be able to cause unexpected system termination or read kernel memory.