INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/3/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety arXiv:2607.01277v1 Announce Type: new Abstract: Large language models (LLMs) can be induced to produce harmful content through multi turn strategies in which no single user message appears clearly unsafe. Existing runtime safeguards commonly evaluate prompts or responses as isolated messages, which limits their ability to recover ac-cumulated intent, verify asserted authority, or detect harmful …
https://arxiv.org/abs/2607.01277
sha256:227c0eb637ad146a15d841bdd0472621eae26aae5cc19bf6361a67bc14229611
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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