AIによるコード生成は開発を加速させる一方、由来や判断経路を見えにくくしている。CyberArk Softwareは、人間の判断を工程に残すことが安全性回復の要点だと伝えた。生成コードを理解し、存在理由や責任追跡性を確認する姿勢が不可欠になる。
A critical LangChain Core vulnerability (CVE-2025-68664, CVSS 9.3) allows secret theft and prompt injection through unsafe ...
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Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...
This weekly recap brings those stories together in one place. No overload, no noise. Read on to see what shaped the threat ...
The rules for choosing a tech partner have fundamentally changed. As AI agents automate coding and accelerate development cycles, the vendors who survive won’t ...
Underneath the screens, the Afeela 1 is no gimmick. A 91 kWh battery powers dual electric motors in an all-wheel-drive setup, ...
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Iプログラミングアシスタントツール「GitHub Copilot Chat」を使って、JavaScriptによるWebアプリケーションの開発の仕方を学ぶ本連載。今回は、作成したアプリの品質を保証するための「テスト」を、Copilot ...
Best test management tools for QA testers seeking AI-driven test management software and scalable test management systems to ...
Morning Overview on MSN
What people really use ChatGPT for isn’t what you think
ChatGPT arrived in the public imagination as a coding sidekick and homework machine, but the data now tells a more domestic ...
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