Stories
Slash Boxes
Comments

SoylentNews is people

Submission Preview

Link to Story

This company uses A.I. to stop cyberattacks before they start

Accepted submission by exec at 2016-06-10 09:33:24
News

Story automatically generated by StoryBot Version 0.0.1f (Development).

Note: This is the complete story and will need further editing. It may also be covered
by Copyright and thus should be acknowledged and quoted rather than printed in its entirety.

FeedSource: [ComputerWorld] collected from rss-bot logs

Time: 2016-06-08 18:39:49 UTC

Original URL: http://www.computerworld.com/article/3081326/security/this-company-uses-ai-to-stop-cyberattacks-before-they-start.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+computerworld%2Fnews%2Ffeed+%28Latest+from+Computerworld%29#tk.rss_all [computerworld.com]

Title: This company uses A.I. to stop cyberattacks before they start

Suggested Topics by Probability (Experimental) : 20.0 science 20.0 hardware 13.3 security 13.3 business 6.7 technomics 6.7 code 6.7 careers 6.7 breaking 6.7 OS

--- --- --- --- --- --- --- Entire Story Below --- --- --- --- --- --- ---
 
 

This company uses A.I. to stop cyberattacks before they start

An ounce of prevention is worth a pound of cure, as the old saying goes, and that's just as true in cybersecurity as it is in health. So believes Cylance [cylance.com], a startup that uses AI to detect and prevent cyberattacks.

On Wednesday, Cylance announced that it just raised a whopping $100 million in Series D funding. It will use the new infusion to expand its sales, marketing, and engineering programs.

Dubbed CylanceProtect, the company's flagship product promises A.I.-based endpoint security while using a fraction of the system resources required by the approaches used in most enterprises today. Enabling that are technologies including machine learning [computerworld.com].

Whereas current techniques such as signature, heuristics and behavior monitoring take a reactionary approach to threats and require an Internet connection, Cylance uses A.I. to proactively analyze a file’s characteristics and predict before it executes on the local host, whether it is safe or a threat. 

More specifically, Cylance extracts millions of unique characteristics from the code and analyzes them against trained statistical models to determine their intention. Rather than relying on hash comparison or post-run behavior heuristics to determine what to do, Cylance evaluates objects in less than 100 milliseconds, early in the run time process. That way, if the object is determined to be malicious, execution can be stopped. 

The software protects against system- and memory-based attacks, spear phishing, zero-day malware, privilege escalations, scripts and malicious programs, Cylance says, and eliminates the need for antivirus and intrusion detection and prevention systems. No Internet connection or daily software updates are required.

Cylance claims more than 1,000 customers.

“Our goal of reinventing endpoint security by using machine learning to think like a cyber hacker has been achieved," said Cylance CEO Stuart McClure. "We now must ensure that it is put in the hands of security leaders inside enterprises, organizations, governments, and small businesses as quickly as possible.”

-- submitted from IRC


Original Submission