Architecture: CylancePROTECT Desktop
CylancePROTECT Desktopdetects and blocks malware using machine learning techniques to render new malware, viruses, bots, and future variants useless.
CylancePROTECTcloud services use sophisticated AI, machine learning, and efficient mathematical models to process large volumes of data from global sources, retain and continuously learn from the patterns and properties of that data, and use that data to make intelligent predictions and decisions about the risk potential of software, files, and Internet destinations in near-real time. The
CylancePROTECTservices provide the threat scoring for files that are scanned by the
CylancePROTECT Desktopagent. The file score determines what action the agent should take for the file, based on the device policy assigned to the agent.
The cloud-based management console allows you to view various threat-related events, manage device policies to configure agents on endpoints, and manage global lists for quarantined and safe files.
Devices with the
CylancePROTECT Desktopagent must be installed on a device (endpoint) to protect the device.
CylancePROTECT Desktopagent on each endpoint maintains a secondary copy of the model that the
CylancePROTECTservices use to score files. If the agent is unable to connect to the
CylancePROTECTservices, the local model calculates file scores.