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Deep Instinct 2020 Predictions: The Threat Landscape is Evolving - What to Expect in 2020

VMblog Predictions 2020 

Industry executives and experts share their predictions for 2020.  Read them in this 12th annual VMblog.com series exclusive.

By Guy Caspi, CEO and co-founder at Deep Instinct

The Threat Landscape is Evolving - What to Expect in 2020

As we approach the final quarter of the year, it's a good time for companies to take stock of their cyber protection ahead of the New Year. Considering the frequency and speed that cyber-attacks are developing daily, and the complexity and sophistication of attacks show no signs of slowing, the industry is undergoing a lot of turmoil. Enterprises need to ensure they're prepared against new attacks as the threat landscape continues to shift and change.

Here are a few things to look out for in 2020:

  • AI-Based Cyber Attacks Are Coming: Parts of the cybersecurity industry are just starting to understand the power of AI-based solutions and are gradually adopting it. In the coming months attackers will try and find ways to challenge AI-based protection, and vendors that are not prepared for those scenarios will not prove successful against these adversaries. The developing ability for attackers to bypass machine learning-based technologies, will increasingly put these vendors into a high-risk position. Due to the design and nature of the technology, its internal workings are relatively easy to understand through reverse engineering, making it susceptible for malicious actors to manipulate the models.
  • A New Threat Landscape with Collaboration: Malware proliferation trends will cause the threat landscape to become less diverse, as a relatively small number of dominant threat actors and their malware families will control the threat landscape. This movement will entail increased collaboration between threat actors with source code and malware being shared, as well as droppers and even C2 infrastructure.
  • Development of Nation State Cyberwarfare: Nation-state cyber units will increasingly employ AI-based technology, ushering in a new era of malware sophistication and complexity never seen before. This new AI-based malware will have the ability to bypass most existing cybersecurity solutions in the market, with the potential to bring entire economies to a standstill.
  • The Skills Shortage Will Get WORSE: According to non-profit IT security organization (ISC)², the cybersecurity skill shortage is currently sitting at close to 3 million unfilled jobs - And it's going to reach epidemic levels soon. The impact for enterprise and governments will mean that they will be more vulnerable to attack as more security jobs sit vacant.
  • Breaches Will Get Worse: Enterprise and governments will continue to experience breaches, but they will be worse in terms of volume, and more devastating in scope and capability. Commonly used security solutions simply won't be enough to detect these highly evasive attacks, and for the attacks that finally do get caught, damage will already be done.
  • Uptick in Endpoint Protection M&As: In the last several months there has been a record number of M&As within the endpoint cyber security market. There have been eight different acquisitions of EDR solutions, of both publicly traded companies and smaller pinpoint solutions, this is even more astounding when you consider that there were only 12 companies to begin with. The criticality of the endpoint is propelling this development, as it is effectively the only place where you can really prevent an attack, and not just detect it.

On top of this, many of the vendors that have been acquired will be very busy with adapting their product suite to the meet the business objectives of the company that bought them. Rather than providing better endpoint protection, these acquisitions will re-orientate products to serve other objectives.

The threat landscape is expanding, and enterprises need to get ahead of threats now to ensure they're prepared for 2020. The best way to do that is with a preventative approach, like that found in a deep learning-based solution. This is especially important as malware threats become stealthier and more evasive, and simultaneously more sophisticated and dangerous. The preventative approach of deep learning ensures that companies can remain secure and free from attack, no matter what the future may bring.

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About the Author

Guy Caspi 

Guy Caspi is the CEO and Co-founder of Deep Instinct, the first and only company to apply end-to-end deep learning to cybersecurity.

A seasoned executive and serial entrepreneur, Guy is an expert in artificial intelligence and deep-learning, with practical applications in the cybersecurity space. From startups to established companies, Guy has spearheaded companies through their entire life-cycle, accelerating their growth, and even seeing them through to IPO on NASDAQ.

Published Thursday, November 07, 2019 7:32 AM by David Marshall
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