Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems
Hammad Atta, Ken Huang, Manish Bhatt, Kamal Ahmed, Muhammad Aziz Ul Haq, Yasir Mehmood

TL;DR
This paper identifies a new security vulnerability class in agentic systems where malicious prompts can be covertly injected into memory and tool outputs, bypassing filters and causing unauthorized actions.
Contribution
It introduces LPCI, a novel attack method exploiting logic execution layers and persistent memory to embed covert payloads in large language model systems.
Findings
LPCI can bypass traditional input filters.
Payloads can be triggered across sessions.
It reveals a new security risk in LLM-integrated systems.
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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