Insights from experts shaping secure development

最近、Selligent Marketing CloudのソフトウェアエンジニアであるDimitri Vanderhaegheに話を聞きました。Selligent Marketing Cloudは、高度に統合されたAIを活用したオムニチャネルマーケティング自動化プラットフォームで、野心的なB2Cマーケターが今日のネット接続された消費者とのあらゆるやり取りを最大限に活用できるようにします。ペースの速いB2Cテクノロジー企業にとって、規模を拡大し、市場の高まる需要に応えることは極めて重要です。これらの要求に応えるためには、サイバーセキュリティに重点を置くことが挙げられます。最も重要なのは、開発者主導のセキュリティスキルプログラムです。

これは地味な統計としてどうだ？中小企業の 60% は、サイバー攻撃が成功してから6か月以内に廃業します。大企業は何百万（あるいは数十億！）もの大企業が大量倒産しています。一方、ブランドの評判は薄れていきました。安全なコーディング手法を採用する組織が増えるにつれ、「シフトレフト」が起こっています。DevSecOps の台頭に伴い、SDLC が始まった当初から安全なコードが焦点になりつつあります。

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Kamer van Koophandel shares how it embedded secure coding into everyday development through role-based certifications, Trust Score benchmarking, and a culture of shared security ownership.

See how Paysafe's partnership with Secure Code Warrior led to a 45% boost in developer productivity and a major reduction in code vulnerabilities.

DigitalOcean's use of Secure Code Warrior training has significantly reduced security debt, allowing teams to focus more on innovation and productivity. The improved security has strengthened their product quality and competitive edge. Looking ahead, the SCW Trust Score will help them further enhance security practices and continue driving innovation.

The Federal Government’s recent mandate, PSPF Direction 002-2024, aims to significantly bolster cybersecurity measures within Australian Government entities by requiring them to identify and actively manage risks tied to vulnerable technologies. The announcement has sparked reactions from key figures in the cybersecurity industry, who have shared their insights on its implications and potential impacts.

CISA’s Secure by Design movement has gained significant momentum, with governments around the world—like Australia, New Zealand, Canada, Singapore, Japan, Germany and the U.K.—contributing to its creation or following it directly as part of their own publicized cybersecurity strategies.

Developers, it appears, will not be replaced by artificial intelligence – at least not yet, anyway. What they will need to do is learn or improve their skills in providing templates for AI, become masters of fixing problems in AI-generated code, and actually learn the best uses for AI in software development.

See how 16 leading AI models actually code, scored across 11 real-world frameworks and 1,760 codebases — the framework matters as much as the model.

AI risk doesn't stop at engineering. Get the one-pager on Citizen AI — build AI literacy and safe habits across your whole workforce.

From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.