INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/16/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows arXiv:2607.13078v1 Announce Type: new Abstract: LLMs are now proposed for fraud detection, scam investigation, content moderation, and other trust-and-safety workflows. Much of the public literature still evaluates them as models, with less attention to their behavior as components in operational pipelines. This creates a practical evidence question: what would justify placing an LLM inside …
https://arxiv.org/abs/2607.13078
sha256:d2782bc22f84ac4ea69a9a3de62524030d5a468905e666fda3dbc05770dabb7a
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Malware families
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Threat actors mentioned
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ATT&CK techniques
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