What does ThreatLocker primarily rely on for determining application status?

ThreatLocker primarily relies on the system's learning of the environment to determine the status of applications. This means that it actively monitors and assesses the behavior of applications in the context of the specific environment in which they operate. By employing a learning approach, ThreatLocker can establish a baseline of what is considered normal and identify any deviations from that baseline, which may indicate potential threats.

This method enhances security by allowing the system to dynamically adapt to changes and understand how applications interact with each other and the system as a whole. Learning the environment is crucial for effective application control because it provides detailed insights and context that static definitions or user feedback alone may not capture.

While user feedback, built-in definitions, and databases of known threats can aid security measures, they often lack the adaptability and contextual awareness that a learning-based approach offers. Such reliance on environmental learning helps in recognizing new or unknown threats that do not yet have definitions in threat databases.