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papersSEP 12 04:00 UTC

arXiv paper proposes neurosymbolic framework to secure LLM-based SOC pipelines

A new arXiv preprint outlines a neurosymbolic approach for protecting AI-driven security operations centers from attacks on their data pipelines. The work focuses on indirect prompt injection through log poisoning, a vector where adversaries plant malicious text in logs that downstream language models then process. The proposed framework aims to verify pipeline integrity and mitigate such threats rather than relying on LLM defenses alone.