LLM-assisted PQC development faces new 'coding drift' risk, paper finds

A new paper from Dinithi Nadee Shakya Rathnaikage introduces "Secure Coding Drift in PQC," a model that describes how reliance on LLMs can degrade secure coding practices in post-quantum cryptography development. The research highlights that LLMs, while boosting productivity, can introduce subtle vulnerabilities. To address this, the paper proposes a gamified framework that integrates adversarial evaluation and behavioral feedback to transform LLMs into active security co-pilots for safer PQC implementation. AI

IMPACT Highlights potential security risks in LLM-assisted code generation for critical domains like cryptography.

RANK_REASON Academic paper on a novel socio-technical vulnerability model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Dinithi Nadee Shakya Rathnaikage
• LLM
• post-quantum cryptography
• Secure Coding Drift in PQC

• paper
• safety

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