US 12,743,498 B1 · Unified neuro-cognitive security system for human and synthetic entities

Abstract

The present invention discloses a unified neuro-cognitive cybersecurity system designed to profile, monitor, and protect both human users and synthetic digital entities, including AI agents, bots, copilots, and orchestration scripts. The system captures fine-grained cognitive and behavioral telemetry—such as decision latency, interaction entropy, typing cadence, and response dynamics—to generate persistent neuro-cognitive profiles. A drift analysis engine continuously detects deviations from baseline behavior, even where adversaries operate with valid authentication credentials. A cross-entity attribution module maps anomalies to specific actors within multi-agent environments, enabling accurate identification of insider threats, impersonation attacks, and synthetic entity misuse. The system incorporates a reinforced adaptation layer recalibrates trust thresholds and mitigation strategies in real time. Mitigation actions include session suspension, access throttling, re-authentication, and quarantine. By extending cognitive identity assurance to both human and AI-driven participants, the invention establishes a comprehensive defense architecture against evolving identity-based threats in enterprise and critical infrastructure environments.

Claims28

Dependent claims

A system for unified neuro-cognitive identity enforcement, comprising:

a telemetry acquisition layer configured to capture interaction signals from both human-operated devices and Artificial Intelligence (AI) based digital entities, including autonomous agents, Large Language Model (LLM) powered copilots, chatbots, orchestration scripts, and synthetic accounts;
a profiling engine configured to generate and maintain individualized neuro-cognitive profiles for said entities, incorporating behavioral and cognitive interaction patterns selected from decision latency, interaction entropy, typing cadence, attention switching, or response variability;
a drift analysis engine configured to detect deviations from a baseline profile, including deviations caused by entities operating with valid authentication credentials;
an attribution engine configured to identify a responsible actor within a multi-entity environment based on drift signatures and entropy analysis;
a policy enforcement engine configured to initiate mitigation actions including at least session suspension, re-authentication, access tier adjustment, or entity quarantine;
and
a reinforcement-driven adaptation engine module operatively coupled to the profiling engine and the policy enforcement engine, configured to recalibrate trust thresholds and mitigation strategies in real time based on historical outcomes and contextual feedback.

4 more elements

Dependencies are inferred from the claim text.

Unified neuro-cognitive security system for human and synthetic entities

Life of this patent

Unified neuro-cognitive security system for human and synthetic entities

Life of this patent

Abstract

Claims28