Smartstealth agent for secure cognitive user profiling in cybersecurity systems
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The invention relates to cybersecurity systems leveraging neuro-cognitive user profiling for real-time anomaly detection. It introduces a stealth-mode endpoint agent designed to collect encrypted micro-interaction telemetry—including cursor dynamics, typing cadence, window focus ETC—without significantly impacting system performance or requiring elevated privileges. Captured signals are transmitted to a centralized AI engine that constructs individualized behavioral baselines and detects deviations using adaptive learning algorithms. The system supports both agent-based and agentless deployments, enabling hybrid use in cloud, on-premise, and BYOD environments. Privacy compliance is addressed through local preprocessing and encryption, aligned with frameworks such as GDPR and HIPAA. The invention is designed to improve behavioral anomaly detection while minimizing operational impact and supporting compatibility across enterprise environments.
A method for secure neuro-cognitive user profiling within an enterprise cybersecurity system, comprising:
A system for secure neuro-cognitive user profiling within an enterprise cybersecurity environment, comprising:
Dependencies are inferred from the claim text.