INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/26/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents arXiv:2606.26627v1 Announce Type: new Abstract: Large language model agents increasingly query databases, search document collections, call external APIs, remember past interactions, and act on a user's behalf. As they move from answering questions to operating over sensitive data, privacy becomes harder to enforce. An agent touches many data sources, runs multi-step workflows, keeps state across sessi…
https://arxiv.org/abs/2606.26627
sha256:5384b35af0905112e8a2424e824201b2ffa3c81883d4eb972db29ff000c33340
What we pulled out
Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).
Indicators
Linked with report → mentions → indicator. Values open the indicator workspace.
No indicators linked for this report.
Malware families
Allowlist token matches only.
Threat actors mentioned
Allowlist mentions — not a formal attribution verdict.
ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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