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Cybersecurity AI (CAI) Dataset

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arXiv:2605. 28146v1 Announce Type: new Abstract: We present CAI Dataset, a fourteen-month corpus of cybersecurity LLM trajectories collected through the open-source CAI agent framework, built in response to PentestGPT's finding that expert operator trajectories, not base-model capability, are the bottleneck for cybersecurity LLM performance.

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Authors: V\'ictor Mayoral-Vilches
Released: 2026-05-28 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Cybersecurity AI (CAI) Dataset overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: text, source, token, rate, capability, test, model. Source: arxiv cs.CR (Cryptography and Security).
arXiv: 2605.28146

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