INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/17/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents arXiv:2606.17467v1 Announce Type: new Abstract: Prompt injection defenses evaluated on synthetic benchmarks do not generalize to real enterprise documents, which are longer, denser, and interleave legitimate authority language with factual content. We demonstrate this gap with a real-document benchmark of 122 tasks across five professional domains (financial, legal, medical, scientific, DevOps)…
https://arxiv.org/abs/2606.17467
sha256:4ff44fcdac2cb686e125ae633f8203811b37fa44b29ea09bbdec08bf33e6cd87
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Malware families
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Threat actors mentioned
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ATT&CK techniques
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