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
Threaded  |  Newest First  |  Oldest First
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
US Formally Attributes SolarWinds Attack to Russian Intelligence Agency
Jai Vijayan, Contributing Writer,  4/15/2021
News
Dependency Problems Increase for Open Source Components
Robert Lemos, Contributing Writer,  4/14/2021
News
FBI Operation Remotely Removes Web Shells From Exchange Servers
Kelly Sheridan, Staff Editor, Dark Reading,  4/14/2021
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
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-2020-7856
PUBLISHED: 2021-04-20
A vulnerability of Helpcom could allow an unauthenticated attacker to execute arbitrary command. This vulnerability exists due to insufficient authentication validation.
CVE-2021-28793
PUBLISHED: 2021-04-20
vscode-restructuredtext before 146.0.0 contains an incorrect access control vulnerability, where a crafted project folder could execute arbitrary binaries via crafted workspace configuration.
CVE-2021-25679
PUBLISHED: 2021-04-20
** UNSUPPORTED WHEN ASSIGNED ** The AdTran Personal Phone Manager software is vulnerable to an authenticated stored cross-site scripting (XSS) issues. These issues impact at minimum versions 10.8.1 and below but potentially impact later versions as well since they have not previously been disclosed....
CVE-2021-25680
PUBLISHED: 2021-04-20
** UNSUPPORTED WHEN ASSIGNED ** The AdTran Personal Phone Manager software is vulnerable to multiple reflected cross-site scripting (XSS) issues. These issues impact at minimum versions 10.8.1 and below but potentially impact later versions as well since they have not previously been disclosed. Only...
CVE-2021-25681
PUBLISHED: 2021-04-20
** UNSUPPORTED WHEN ASSIGNED ** AdTran Personal Phone Manager 10.8.1 software is vulnerable to an issue that allows for exfiltration of data over DNS. This could allow for exposed AdTran Personal Phone Manager web servers to be used as DNS redirectors to tunnel arbitrary data over DNS. NOTE: The aff...