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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. 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

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

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