Federated Geometric Intrusion Detection and Mitigation for Persistent Cognitive Machines

A computer-implemented system for detecting and mitigating adversarial geometric influence on a persistent cognitive machine, comprising a processor and a memory storing instructions that, when executed by the processor, cause the system to:

• maintain a cognitive substrate comprising a structured geometric space whose geometry persists across interactions and is reshaped by accumulated experience;
• evaluate, without reference to semantic content or input payload, a plurality of geometric indicators of the cognitive substrate to produce a composite assessment of whether the geometric structure of the cognitive substrate remains within admissible epistemic regimes;
• issue an intrusion determination when the composite assessment satisfies a detection threshold, the intrusion determination classifying detected adversarial influence by geometric attack type;
• apply, upon issuance of the intrusion determination, one or more geometric mitigation controls to affected regions of the cognitive substrate, wherein regions of the cognitive substrate not implicated in the detected adversarial influence continue normal operation throughout the mitigation period;
• generate an intrusion signature encoding a structural characterization of the detected adversarial influence, wherein generating the intrusion signature does not incorporate semantic content of any input associated with the detected adversarial influence and wherein the intrusion signature is stored in a form that cannot be accessed by or incorporated into the task learning operations of the cognitive substrate;
• and
• emit active admissibility constraints derived from the intrusion signature that restrict future cognitive trajectory selection in the cognitive substrate, wherein the emitted constraints persist independently of the mitigation controls applied upon issuance of the intrusion determination and accumulate across successive adversarial interactions such that structural immunity of the cognitive substrate against recurring geometric attack classes increases over the operational lifetime of the system.