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3/13/2020
12:35 PM
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What Cybersecurity Pros Really Think About Artificial Intelligence

While there's a ton of unbounded optimism from vendor marketing and consultant types, practitioners are still reserving a lot of judgment.
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AI in Cybersecurity Will Experience Marked Increases in 2020 
According to a study last year by Capgemini Research Institute, before 2019 only about one in five cybersecurity organizations used AI in their technology stacks. But Capgemini researchers said 'adoption is poised to skyrocket,' with about 63% of organizations planning AI deployments by the end of 2020. The use cases with the highest potential tend to be in operational technology (OT) and the Internet of Things (IoT).
Image Source: 'Reinventing Cybersecurity with Artificial Intelligence,' Capgemini Research Institute

AI in Cybersecurity Will Experience Marked Increases in 2020

According to a study last year by Capgemini Research Institute, before 2019 only about one in five cybersecurity organizations used AI in their technology stacks. But Capgemini researchers said "adoption is poised to skyrocket," with about 63% of organizations planning AI deployments by the end of 2020. The use cases with the highest potential tend to be in operational technology (OT) and the Internet of Things (IoT).

Image Source: "Reinventing Cybersecurity with Artificial Intelligence," Capgemini Research Institute

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Waltsz61@gmail.com
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[email protected],
User Rank: Apprentice
4/15/2020 | 10:22:02 AM
AI needs network and detailed end point dat
AI will always work if given the raw network and endpoint data that the process needs.  Without data, AI can not work.

99% of organizations have no idea of what's on their network, that includes users, endpoints, software and hardware and end point behavior.

what do you expect AI to analyze, you might as well use a crystal ball.  That works without data and your results will be better.

Walt

cleararmor.com

9083105916

 
rstatsinger
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rstatsinger,
User Rank: Apprentice
4/18/2020 | 5:20:24 PM
AI sweetspot: lots of date
Remember that AI thrives on large datasets against which the AI can be trained - or can self-organize - to detect patterns and draw correct inferences. This implies that the most natural fit for AI in cybersecurity is in perimeter defense - WAFs, NGWAFs, IDSs, etc - which are constantly bombarded with traffic from both the 'good guys' and the 'bad guys'. Using AI to help distinguish which is which - and to present humans with business decision assistance - is probably the lowest hanging fruit for AI in our business.
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