INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/19/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
STRIDE-AI: A Threat Modeling Framework for Generative AI Security Assessment arXiv:2605.17163v1 Announce Type: new Abstract: Traditional cybersecurity methodologies target deterministic systems and fail to address the probabilistic nature of AI, leaving systems vulnerable to attack vectors such as model inversion, data poisoning, and prompt injection. Recent industry reports indicate that a majority of organizations deploying AI lack a dedicated security strategy, with adver…
https://arxiv.org/abs/2605.17163
sha256:0bd477e7aa4fb179a86a02cc3a39f8b032ee9eb9d424e07d19e2615d301fb0b4
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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