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).
Beyond Pass/Fail: Using Process Mining to Understand How LLMs Resist (and Fail) Red Team Attacks arXiv:2606.07833v1 Announce Type: new Abstract: Standard AI red teaming evaluations reduce adversarial campaigns to a single binary outcome, attack success rate (ASR), not taking into account the sequential structure of how models resist or yield to attacks. We propose applying process mining, a discipline for discovering and analyzing process models from event logs, to red teami…
https://arxiv.org/abs/2606.07833
sha256:02eb48bd21fbbea7db02f81f8f5c36cf1f62b1554abf7cadee8029cf96946e1a
What we pulled out
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Indicators
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Malware families
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Threat actors mentioned
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ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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