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

Image Source: Adobe

Image Source: Adobe

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
Oldest First  |  Newest First  |  Threaded View
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

 
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.
News
FluBot Malware's Rapid Spread May Soon Hit US Phones
Kelly Sheridan, Staff Editor, Dark Reading,  4/28/2021
Slideshows
7 Modern-Day Cybersecurity Realities
Steve Zurier, Contributing Writer,  4/30/2021
Commentary
How to Secure Employees' Home Wi-Fi Networks
Bert Kashyap, CEO and Co-Founder at SecureW2,  4/28/2021
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Current Issue
2021 Top Enterprise IT Trends
We've identified the key trends that are poised to impact the IT landscape in 2021. Find out why they're important and how they will affect you today!
Flash Poll
How Enterprises are Developing Secure Applications
How Enterprises are Developing Secure Applications
Recent breaches of third-party apps are driving many organizations to think harder about the security of their off-the-shelf software as they continue to move left in secure software development practices.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2021-20538
PUBLISHED: 2021-05-10
IBM Cloud Pak for Security (CP4S) 1.5.0.0 and 1.5.0.1 could allow a user to obtain sensitive information or perform actions they should not have access to due to incorrect authorization mechanisms. IBM X-Force ID: 198919.
CVE-2021-20559
PUBLISHED: 2021-05-10
IBM Control Desk 7.6.1.2 and 7.6.1.3 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 199228.
CVE-2021-20577
PUBLISHED: 2021-05-10
IBM Cloud Pak for Security (CP4S) 1.5.0.0 and 1.5.0.1 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force I...
CVE-2021-29501
PUBLISHED: 2021-05-10
Ticketer is a command based ticket system cog (plugin) for the red discord bot. A vulnerability allowing discord users to expose sensitive information has been found in the Ticketer cog. Please upgrade to version 1.0.1 as soon as possible. As a workaround users may unload the ticketer cog to disable...
CVE-2020-13529
PUBLISHED: 2021-05-10
An exploitable denial-of-service vulnerability exists in Systemd 245. A specially crafted DHCP FORCERENEW packet can cause a server running the DHCP client to be vulnerable to a DHCP ACK spoofing attack. An attacker can forge a pair of FORCERENEW and DCHP ACK packets to reconfigure the server.