System and method for autonomous threat mitigation in agentic artificial intelligence systems using runtime enforcement mechanisms for large language models

A system for autonomous threat mitigation in agentic artificial intelligence systems using runtime enforcement mechanisms for large language models, the system comprising:

• a runtime observation processor configured to continuously capture intermediate reasoning states, contextual execution representations, token generation sequences, memory access activities, external communication requests, tool invocation instructions, and autonomous workflow transitions generated by one or more large language model agents operating within a distributed computational environment;
• a semantic interpretation processor operatively coupled to the runtime observation processor and configured to transform captured runtime activities into contextual semantic representations comprising intent vectors, execution dependency structures, behavioral embeddings, and contextual trust indicators;
• a contextual policy validation processor configured to evaluate the contextual semantic representations against dynamically adaptive governance policies, execution authorization conditions, semantic trust boundaries, operational safety constraints, and contextual compliance parameters;
• a threat correlation processor configured to identify adversarial reasoning patterns, recursive exploitation sequences, prompt injection attempts, memory poisoning activities, unauthorized privilege escalation operations, and anomalous behavioral transitions associated with autonomous execution activities;
• an execution interception processor configured to selectively interrupt, suspend, redirect, modify, isolate, or terminate execution instructions associated with elevated threat conditions prior to transmission toward external computational resources;
• a behavioral containment processor configured to autonomously enforce mitigation operations comprising capability restriction, execution sandbox isolation, contextual memory segmentation, execution rollback restoration, communication quarantine, and trust degradation control;
• a distributed synchronization processor configured to exchange runtime threat intelligence, behavioral signatures, contextual trust information, and mitigation policies among multiple interconnected autonomous artificial intelligence agents;
• and
• a communication interface configured to securely communicate with external databases, cloud infrastructures, robotic control systems, industrial automation devices, and distributed application environments.