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.
Meet 'Bro': The Best-Kept Secret of Network Security
Greg Bell, CEO, Corelight,  6/14/2018
Containerized Apps: An 8-Point Security Checklist
Jai Vijayan, Freelance writer,  6/14/2018
Four Faces of Fraud: Identity, 'Fake' Identity, Ransomware & Digital
David Shefter, Chief Technology Officer at Ziften Technologies,  6/14/2018
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
Flash Poll
The State of IT and Cybersecurity
The State of IT and Cybersecurity
IT and security are often viewed as different disciplines - and different departments. Find out what our survey data revealed, read the report today!
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2018-0363
PUBLISHED: 2018-06-21
A vulnerability in the web-based management interface of Cisco Unified Communications Manager IM & Presence Service (formerly CUPS) could allow an unauthenticated, remote attacker to conduct a cross-site request forgery (CSRF) attack and perform arbitrary actions on an affected device. The vulne...
CVE-2018-0364
PUBLISHED: 2018-06-21
A vulnerability in the web-based management interface of Cisco Unified Communications Domain Manager could allow an unauthenticated, remote attacker to conduct a cross-site request forgery (CSRF) attack and perform arbitrary actions on an affected device. The vulnerability is due to insufficient CSR...
CVE-2018-0365
PUBLISHED: 2018-06-21
A vulnerability in the web-based management interface of Cisco Firepower Management Center could allow an unauthenticated, remote attacker to conduct a cross-site request forgery (CSRF) attack and perform arbitrary actions on an affected device. The vulnerability is due to insufficient CSRF protecti...
CVE-2018-0371
PUBLISHED: 2018-06-21
A vulnerability in the Web Admin Interface of Cisco Meeting Server could allow an authenticated, remote attacker to cause a denial of service (DoS) condition. The vulnerability is due to insufficient validation of incoming HTTP requests. An attacker could exploit this vulnerability by sending a craf...
CVE-2018-0373
PUBLISHED: 2018-06-21
A vulnerability in vpnva-6.sys for 32-bit Windows and vpnva64-6.sys for 64-bit Windows of Cisco AnyConnect Secure Mobility Client for Windows Desktop could allow an authenticated, local attacker to cause a denial of service (DoS) condition on an affected system. The vulnerability is due to improper ...