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PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research introduces PARSE, a prompt injection defense for LLM agents, demonstrating improved resilience on a new benchmark of real enterprise documents.
OneBench interpretation
Institutional assessment
So what
Prompt injection defenses are critical for deploying LLM agents in sensitive financial domains, and this research validates a new approach against real-world data.
Do what
Your model risk and architecture teams should evaluate PARSE's methodology as a potential defense for agentic AI systems handling proprietary or client data.