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).
An Evaluation of Data Leakage Risks in Tool-Using LLM Agents in Realistic Scenarios arXiv:2606.17114v1 Announce Type: new Abstract: AI agents are increasingly being adopted in enterprise and personal settings with access to emails, databases, documents, and other tools where they can read, update, and disseminate sensitive information. Much of prior research on data leakage risks in agents has focused on adversarial data exfiltration through prompt injections and jailbreaks.…
https://arxiv.org/abs/2606.17114
sha256:f3d3424ec5ea82a4281a9b0537405c9aff239f2f8e109c3d56744771afe0009a
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.
CONTINUE INVESTIGATION
High-signal pivots without leaving the thread you started in search.
Browse the report corpus.