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.

Cloud

3/13/2020
12:35 PM
Connect Directly
Twitter
RSS
E-Mail
50%
50%

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.
Previous
1 of 7
Next

The cybersecurity industry has been targeted by technology and business leaders as one of the top advanced use cases for artificial intelligence (AI) and machine learning (ML) in the enterprise today. According to the latest studies, AI technology in cybersecurity is poised to grow over 23% annually through the second half of the decade. That'll have the cybersecurity AI market growing from $8.8 billion last year to $38.2 billion by 2026.

The question seasoned cybersecurity veterans are asking themselves right now is, "How much does AI really help security postures and security operations?" There's a ton of unbounded optimism from the vendor marketing and consultant types, but practitioners are still reserving a lot of judgment. As we piece together the surveys of cybersecurity industry perceptions, it becomes clear that a big part of the industry's evolution in the 2020s will be how it can effectively balance AI and human intelligence. Here's what the data shows at the moment.

 

Ericka Chickowski specializes in coverage of information technology and business innovation. She has focused on information security for the better part of a decade and regularly writes about the security industry as a contributor to Dark Reading.  View Full Bio

Previous
1 of 7
Next
Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
rstatsinger
50%
50%
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.
Waltsz61@gmail.com
50%
50%
[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

 
COVID-19: Latest Security News & Commentary
Dark Reading Staff 9/21/2020
Hacking Yourself: Marie Moe and Pacemaker Security
Gary McGraw Ph.D., Co-founder Berryville Institute of Machine Learning,  9/21/2020
Startup Aims to Map and Track All the IT and Security Things
Kelly Jackson Higgins, Executive Editor at Dark Reading,  9/22/2020
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-2015-4719
PUBLISHED: 2020-09-24
The client API authentication mechanism in Pexip Infinity before 10 allows remote attackers to gain privileges via a crafted request.
CVE-2020-15604
PUBLISHED: 2020-09-24
An incomplete SSL server certification validation vulnerability in the Trend Micro Security 2019 (v15) consumer family of products could allow an attacker to combine this vulnerability with another attack to trick an affected client into downloading a malicious update instead of the expected one. CW...
CVE-2020-24560
PUBLISHED: 2020-09-24
An incomplete SSL server certification validation vulnerability in the Trend Micro Security 2019 (v15) consumer family of products could allow an attacker to combine this vulnerability with another attack to trick an affected client into downloading a malicious update instead of the expected one. CW...
CVE-2020-25596
PUBLISHED: 2020-09-23
An issue was discovered in Xen through 4.14.x. x86 PV guest kernels can experience denial of service via SYSENTER. The SYSENTER instruction leaves various state sanitization activities to software. One of Xen's sanitization paths injects a #GP fault, and incorrectly delivers it twice to the guest. T...
CVE-2020-25597
PUBLISHED: 2020-09-23
An issue was discovered in Xen through 4.14.x. There is mishandling of the constraint that once-valid event channels may not turn invalid. Logic in the handling of event channel operations in Xen assumes that an event channel, once valid, will not become invalid over the life time of a guest. Howeve...