INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/25/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
SoK: AI Secure Code Generation: Progress, Pitfalls, and Paths Forward arXiv:2606.25195v1 Announce Type: new Abstract: The increasing use of AI systems for code generation raises a central security question: what can today's models and coding agents actually do to produce secure code, where do they still fail, and what would move the field forward? Existing work has explored prompting, fine-tuning, reinforcement learning, and agentic workflows for secure code generation, but …
https://arxiv.org/abs/2606.25195
sha256:14bb6208339fcedcb7e9ef202b9ef3b4a2a067c810553e42c5f26c4806e989e5
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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