SecDrift: Measuring Sector-Conditioned Security Drift in AI-Generated Code

arXiv:2607.25225 · cs.CR, cs.LG, cs.SE · Submitted 2026-07-28 · Read on arXiv

Narayanaswami Natraj Bharadwaj, Dhivya Chandramouleeswaran

cs.CR, cs.LG, cs.SE

Submitted: 2026-07-28

Comments: 11 pages, 3 figures

Code: https://github.com/widdendream/secdrift_revised

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Benchmark — 11× in this paper · explained in 2 episodes
Abstention — 8× in this paper · explained in 1 episode
Analyzer — 6× in this paper · explained in 1 episode
Aggregation — 3× in this paper · explained in 1 episode
Robustness — 3× in this paper · explained in 5 episodes
Consistency — 2× in this paper · explained in 3 episodes
Core — 2× in this paper · explained in 2 episodes
Generative AI — 2× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 4 episodes
Clustering — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Grounding — 1× in this paper · explained in 3 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Prompt Engineering — 1× in this paper · explained in 4 episodes
Transformer — 1× in this paper · explained in 2 episodes
Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

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