Secure Coding Drift in LLM-Assisted Post-Quantum Cryptography Development: A Gamified Fix
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.