Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911095160045568 |
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| author | Atta, Hammad Huang, Ken Bhatt, Manish Ahmed, Kamal Haq, Muhammad Aziz Ul Mehmood, Yasir |
| author_facet | Atta, Hammad Huang, Ken Bhatt, Manish Ahmed, Kamal Haq, Muhammad Aziz Ul Mehmood, Yasir |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_10457 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems Atta, Hammad Huang, Ken Bhatt, Manish Ahmed, Kamal Haq, Muhammad Aziz Ul Mehmood, Yasir Cryptography and Security Artificial Intelligence Machine Learning 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. |
| title | Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems |
| topic | Cryptography and Security Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2507.10457 |