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U.S. based Cylance Inc. and Japan’s MOTEX Unite to Establish Advanced Cyber Threat Prevention Solutions in Japan

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Cylance Motex Collaborate
CylancePROTECT Cat, a solution for endpoint protection against cyber threats.

Introduction:

Cylance Inc. is the first company to apply artificial intelligence, algorithmic science and machine learning to cyber security, it has now collaborated with MOTEX as an original equipment manufacturer (OEM) to integrate MOTEX LanScope (a leading endpoint systems management solution) and CylancePROTECT®, (Cylance’s leading enterprise product that provides real-time detection and prevention of malware).

The Motex-Cylance Agreement:

Motex will be merging CylancePROTECT’s technology into their LanScope CAT (Check-Action-Trace) and offer it as an advanced threat module to LanScope users. The integration will deliver key security event information directly from CylancePROTECT for presentation within the LanScope console.

The end product apparently will be called CylancePROTECT Cat, a solution that will give power to enterprises for prevention against cyber attacks and give an exceptional visibility into what applications and potentially unwanted programs are residing on their endpoints.

“We are privileged to be working with MOTEX to equip their thousands of customers with advanced threat prevention capabilities that work without requiring a complex incident response process,” said Stuart McClure, president and CEO at Cylance. “Cylance believes that best-in-class tools must integrate in order to provide the most effective preventive approach to information security possible. Companies in Japan will now have a best-in-class product to protect their organizations.”

“MOTEX would like to express sincere congratulations to Cylance on its entry into the Japanese market,” said Tatsuya Gonokuchi, President of MOTEX Inc. “It is now a well-known fact that that we cannot completely protect our assets from cybersecurity risk by using traditional solutions. In today’s threat environment, the next-generation pr oduct developed by Cylance can help usher in a new age in external threat protection for Japanese enterprises. By integrating with LanScope Cat, which we are proud to note maintains number-one market share in Japan, CylancePROTECT Cat will ensure genuine endpoint protection against both internal and external threats. As always, MOTEX will provide complete support for our customers’ information loss prevention with Cylance as we move into the future.”

About Motex & LanScope:

Motex Inc. operates as a subsidiary of Kyocera Communication Systems Co., Ltd. and offers security software services. The company was founded in 1990 and is based in Osaka, Japan. LanScope Cat is their flagship product besides other offerings.

“LanScope Cat” is an all-in-one package comprising the necessary functions for information leak countermeasures and IT asset management. Generally, it offers analysis of the IT assets, monitor asset performance by implementing the appropriate measures against risk, and prevent major problems from occurring. Further, if an exception occurs it is capable of tracing the problem by revisiting the data previously logged by the software.

About Cylance & CylancePROTECT:

By applying mathematical proofs to the endpoint, the Cylance engine operates in a way that goes beyond all traditional methods of malware detection and prevention. Cylance says, “Our mission is to stop the execution of bad files before they can cause any damage.”  With this approach, the endpoint system is safe even if the file is resident on disk.

CylancePROTECT is their main product which is capable of real-time detection and prevention of malware. It functions by analyzing potential file executions for malware in both the operating system (OS) and memory layers and prevents the delivery of malicious payloads.

Humans are not made such that they are able to handle huge volumes of data either mentally or physically, but with Cylance, machine learning and data mining go hand-in-hand. While Machine learning focuses on prediction based on properties learned from earlier data, data mining focuses on the discovery of previously unknown properties of data, so those properties can be used in future machine learning decisions. Machine learning involves a four phase process:

  • Collection
  • Extraction
  • Learning
  • Classification

After the completion of all these processes, Cylance produces results that differentiate malicious files from safe or valid ones.

Conclusion:

With the ever growing cyber threats and risk Cylance is capable of providing protection against them with their other range of products as well. Presently, with the help of Cylance’s advanced malware detection and attack prevention technology many global organizations and computers are working under a protected environment.

Besides this, a whitepaper published by Cylance describes how the amalgamation of Mathematical Modeling, Artificial Intelligence and Machine Learning can help combat against the cyber attacks.

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