Montréal, Qc | August 5th, 2016 – Prevent a future cyber-attack becomes more and more difficult. Indeed, more and more companies are major victims of cyber-attacks, affecting users and complete systems. Hackers are more imaginative and inventive and it becomes difficult to be a step forward to prevent their multiple attacks.
Would you like to be considerate? Would you like to be on the lookout for any ongoing attack? You would like to have a database of malicious software up to date and even more? We offer you an innovative and revolutionary solution that uses artificial intelligence and learning of your machines to monitor your systems. This solution is designed to work with a minimum of updates, less system resources and a limited impact on your network and your users. In addition, it is a solution that works in all environments of 1,000 users to more than 100,000 users.
Cylance, revolutionized cyber security, with products and services that prevent proactively, rather than detect reactively to advanced persistent threats and malware. Our technology is deployed on more than four million terminals and protects hundreds of enterprise customers worldwide, including Fortune 100 organizations and governmental institutions.
What is CylancePROTECT? It redefines what antivirus (AV) can and should do for your organization by taking advantage of artificial intelligence to detect and prevent malicious software to run on your environment and this in real time.
A mathematical approach for the identification of malicious software and using techniques of machine learning instead of signatures and reactive sandbox patent pending, CylancePROTECT makes malware, new viruses, bots and future unknown variants unnecessary.
At the core of Cylance’s unprecedented malware identification capability is a revolutionary machine-learning research platform that harnesses the power of algorithmic science and artificial intelligence. It analyzes and classifies hundreds of thousands of characteristics per file, breaking them down to study their “DNA” in order to discern whether an object is “good” or “bad” in real time.
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