Story image

Cylance ink OEM agreement with ContentKeeper to provide predictive malware blocking

08 Sep 2017

ContentKeeper Technologies and Cylance have signed an original equipment manufacturer (OEM) agreement to embed the Cylance OEM Engine into ContentKeeper’s Multi-layered Gateway Security Platform.

The new predictive malware blocking engine will add artificial intelligence-driven, pre-execution malware blocking to ContentKeeper’s multi-layered gateway security platform.

ContentKeeper says this will deliver a powerful combination of innovative security technologies to prevent malware and advanced persistent threats.

David Wigley, ContentKeeper CEO says, “Cylance’s innovation and vision to provide the next level of security automation is well-aligned with our gateway security platform approach.

“The speed and accuracy in which the technology analyses and identifies advanced threats and malware is unparalleled in our industry, and we look forward to helping organisations streamline and scale their security defences.”

ContentKeeper says their gateway security platform is a multi-layered malware defence system that unifies multiple critical security functions into a single cohesive, easy to manage next-generation solution.

Predictive malware blocking will provide an advanced level of malware protection beyond the signature-based antivirus pattern-matching technology currently used.

Craig Whetstone, Cylance director of OEM says, “At Cylance, we’re dedicated to delivering artificial intelligence/machine learning wherever possible, since current technology can’t keep up with today’s mutating malware, ContentKeeper’s Multi-layered Gateway Security Platform is a natural fit.

“Now, ContentKeeper customers can proactively block targeted attacks using Predictive Malware Blocking as part of a comprehensive, integrated solution that’s been proven around the world.”

Cylance OEM Engine is an embeddable malware detection technology that uses Cylance’s predictive models to classify files as good or bad by correlating them with the features found in millions of good and bad samples.

Cylance says Its models detect even zero-day and previously unknown malware not in the original training set, and checks for various capabilities that are prevalent in malware and provides a threat indicator report to explain the classification.

Slack users urged to update to prevent security vulnerability
Businesses that use popular messaging platform Slack are being urged to update their Slack for Windows to version 3.4.0 immediately.
Secureworks Magic Quadrant Leader for Security Services
This is the 11th time Secureworks has been positioned as a Leader in the Gartner Magic Quadrant for Managed Security Services, Worldwide.
Deakin Uni scores double win with Exabeam partnership
Australia’s Deakin University is partnering with SIEM security company Exabeam in an effort to boost the university’s cybersecurity degree program and strengthen its SIEM capabilities.
Google puts Huawei on the Android naughty list
Google has apparently suspended Huawei’s licence to use the full Android platform, according to media reports.
Voter vulnerabilities: Cybersecurity risks impact national elections
The outcome of elections have an enormous impact on the political and cultural landscape of any democratic society. 
Using data science to improve threat prevention
With a large amount of good quality data and strong algorithms, companies can develop highly effective protective measures.
General staff don’t get tech jargon - expert says time to ditch it
There's a serious gap between IT pros and general staff, and this expert says it's on the people in IT to bridge it.
ZombieLoad: Another batch of flaws affect Intel chips
“This flaw can be weaponised in highly targeted attacks that would normally require system-wide privileges or a complete subversion of the operating system."