INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/9/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
SGTO-MAS: Secure Gorilla Troops Optimization for Multi-Agent LLM Systems arXiv:2606.07940v1 Announce Type: new Abstract: Multi-agent large language model (LLM) systems offer strong capabilities for complex reasoning and decision-making, yet coordination across agents introduces error propagation, security risks, and inefficient use of resources. Existing methods often rely on heuristic, static strategies and lack a principled mechanism for balancing performance, security, an…
https://arxiv.org/abs/2606.07940
sha256:57274dfd1a2b603ccde6e6a4caa7690008a88676b49d486f105d25fb23e6e51f
What we pulled out
Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).
Indicators
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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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