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.

Operations

12/12/2016
11:55 AM
Rutrell Yasin
Rutrell Yasin
Slideshows
Connect Directly
Twitter
RSS
E-Mail
50%
50%

5 Things Security Pros Need To Know About Machine Learning

Experts share best practices for data integrity, pattern recognition and computing power to help enterprises get the most out of machine learning-based technology for cybersecurity.
Previous
1 of 6
Next

The concept of machine learning has been around for decades. Machine Learning (ML) is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed.

Industries and government agencies working with large amounts of data are using machine learning technology to glean insights from this data in real time. Financial institutions use the technology to identify investment opportunities and fraud. Utility companies use the technology to analyze sensor data to increase efficiency and save money. Healthcare practitioners are using the technology to identify trends that could improve diagnoses and patient treatment.

And, cybersecurity experts, inundated by reams of data generated by multiple information technology systems, security tools, networks, and other devices are deploying machine learning technology to detect and thwart internal and external cyber-attacks and threats.

“Machine learning helps humans be more efficient by [aggregating and analyzing] vast amounts of data. It’s not just the volume, but also the scope of data; more data at the same time and more facets of data at the same time,” says Sven Krasser, chief scientist at Crowdstrike, a developer of machine learning-based endpoint security tools.

“One of the big game changers is the emergence of cloud computing,” he says.  By using cloud-based infrastructures, security experts can aggregate more data from vast amounts of resources than ever before.” Traditional techniques where analysts sift through data in some manual fashion to generate rule sets doesn’t work well in today’s dynamically-changing threat environment, Krasser says.

System, sensors, and other networked-devices are generating so much data that it is increasingly difficult for human analysts to find those tidbits – the abnormalities and or patterns – that might give them the insights needed to identify an attack or potential threat, says Matt Wolff, chief data scientist with Cylance, a developer of endpoint security tools based on machine learning technology.

“So, machine learning is an excellent tool and the right approach to take when you have a data intensive problem that you want to solve,” Wolff says.

Industry executives and government agency officials are looking for ways to combat sophisticated attacks and relentless cyber adversaries while coping with a shortage of talented information security professionals. Machine learning-based security tools are yet another technology that they can add to their cyber arsenal.

DarkReading spoke with cybersecurity experts from CrowdStrike, Cylance, Darktrace, and IDC security researcher Peter Lindstrom to get a better sense of what organizations need to know about applying machine learning-based technology for cybersecurity in their organizations.

 

Rutrell Yasin has more than 30 years of experience writing about the application of information technology in business and government. View Full Bio

Previous
1 of 6
Next
Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
JonKim
50%
50%
JonKim,
User Rank: Author
12/15/2016 | 3:02:27 PM
Insightful
Insightful, thank you for sharing.
gopinathmohan861
50%
50%
gopinathmohan861,
User Rank: Apprentice
12/14/2016 | 10:11:16 AM
Machine Learning - Useful points
First of all, a big thanks for the article. The informations (5 security pros) mentioned in this article very useful. As AI and ML is going to rule future world, we need to consider these security pros.
SOC 2s & Third-Party Assessments: How to Prevent Them from Being Used in a Data Breach Lawsuit
Beth Burgin Waller, Chair, Cybersecurity & Data Privacy Practice , Woods Rogers PLC,  12/5/2019
Navigating Security in the Cloud
Diya Jolly, Chief Product Officer, Okta,  12/4/2019
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Write a Caption, Win a Starbucks Card! Click Here
Latest Comment: This comment is waiting for review by our moderators.
Current Issue
Navigating the Deluge of Security Data
In this Tech Digest, Dark Reading shares the experiences of some top security practitioners as they navigate volumes of security data. We examine some examples of how enterprises can cull this data to find the clues they need.
Flash Poll
Rethinking Enterprise Data Defense
Rethinking Enterprise Data Defense
Frustrated with recurring intrusions and breaches, cybersecurity professionals are questioning some of the industrys conventional wisdom. Heres a look at what theyre thinking about.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2019-19619
PUBLISHED: 2019-12-06
domain/section/markdown/markdown.go in Documize before 3.5.1 mishandles untrusted Markdown content. This was addressed by adding the bluemonday HTML sanitizer to defend against XSS.
CVE-2019-19616
PUBLISHED: 2019-12-06
An Insecure Direct Object Reference (IDOR) vulnerability in the Xtivia Web Time and Expense (WebTE) interface used for Microsoft Dynamics NAV before 2017 allows an attacker to download arbitrary files by specifying arbitrary values for the recId and filename parameters of the /Home/GetAttachment fun...
CVE-2019-19617
PUBLISHED: 2019-12-06
phpMyAdmin before 4.9.2 does not escape certain Git information, related to libraries/classes/Display/GitRevision.php and libraries/classes/Footer.php.
CVE-2012-1114
PUBLISHED: 2019-12-05
A Cross-Site Scripting (XSS) vulnerability exists in LDAP Account Manager (LAM) Pro 3.6 in the filter parameter to cmd.php in an export and exporter_id action. and the filteruid parameter to list.php.
CVE-2012-1115
PUBLISHED: 2019-12-05
A Cross-Site Scripting (XSS) vulnerability exists in LDAP Account Manager (LAM) Pro 3.6 in the export, add_value_form, and dn parameters to cmd.php.