Cognitive degradation in agentic AI is defined as a six-stage vulnerability lifecycle, mapped to seven proposed runtime controls that are not implemented or empirically validated.
Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems
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abstract
The integration of large language models (LLMs) into enterprise systems has introduced a new class of covert security vulnerabilities, particularly within logic execution layers and persistent memory contexts. This paper introduces Logic-layer Prompt Control Injection (LPCI), a novel category of attacks that embeds encoded, delayed, and conditionally triggered payloads within memory, vector stores, or tool outputs. These payloads can bypass conventional input filters and trigger unauthorised behaviour across sessions.
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QSAF: A Novel Mitigation Framework for Cognitive Degradation in Agentic AI
Cognitive degradation in agentic AI is defined as a six-stage vulnerability lifecycle, mapped to seven proposed runtime controls that are not implemented or empirically validated.