Secret Scanner Agent: Extracting Secrets and Access Context from Unstructured Documents
3.00T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.09011.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA multi-agent LLM system (Secret Scanner Agent) that extracts both leaked credentials and the resources they unlock ('doors') from unstructured documents like emails and tickets. Pairs a recall-focused detection agent with a review agent. Tested on synthetic benchmarks across six models and compared against 13 security analysts.
Why it mattersConcrete division of labor between a detection agent and a review agent, with measured precision and recall gains on a task where single-agent LLMs and regex both underperform.
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