Articles

What Is Threat Modeling and Why Is It Essential for DevSecOps?

Learn how continuous threat modeling strengthens DevSecOps by identifying, prioritizing, and mitigating risks across evolving code, data, and pipelines.

AI in Ethical Hacking: Revolutionizing Cybersecurity Testing

AI in ethical hacking revolutionizes cybersecurity testing. Discover how AI transforms vulnerability assessment, penetration testing, and threat intelligence with cutting-edge tools and methodologies.

Evals for LLMs: Understanding Evaluation Systems for AI Models

Learn how Eval frameworks act like pen-tests for LLMs—helping cybersecurity teams assess resilience to adversarial attacks, ensure accuracy, manage risks, and integrate security into the AI lifecycle.

The Highs and Lows of Vibe Coding

"Vibe coding" with AI builds billion-dollar startups fast, but it also creates massive security risks. With 40% of AI code vulnerable and major data leaks emerging, explore the highs and lows of this trend and the path to securing it.

The Frictionless Developer Security Experience: Securing at the Speed of AI

Traditional security creates friction, slowing developers down. Learn how a frictionless approach embeds fast, AI-powered security and automated fixes into the dev workflow. Empower your teams to build securely without sacrificing development velocity.

From Models to Compound AI Systems: Building the Future of AI

AI systems combine multiple AI models and tools to tackle complex tasks, for enhanced performance, versatility, & reliability.

Let AI Detect and Patch Your Vulnerable Code: Claude Desktop and Snyk MCP Server

Integrate Claude Desktop with Snyk's official MCP Server to enhance security in your development workflow. Learn how to set up, configure, and use Snyk's security scanning tools to detect and patch vulnerabilities, streamlining DevSecOps and securing your code.

Context Engineering: Building Intelligent AI Systems Through Strategic Information Management

Discover how context engineering shapes AI behavior, enhances user experience, and drives intelligent automation.

$800K+ Up for Grabs: 12 AI Hacking Competitions That Could Launch Your Security Career

Survey the best AI security competitions in Q4 2025 and beyond. Discover 12 AI hacking competitions with over $800,000 in prizes, organized by difficulty, to launch your security career.

Preventing Path Traversal Vulnerabilities in MCP Server Function Handlers

Learn how to secure your MCP servers with best practices and Snyk Code's SAST tool to detect and fix security issues before they become a problem.

Unlocking Digital Health: Mastering Asset Discovery in Healthtech

Explore the vital role of asset discovery in safeguarding Healthtech, ensuring robust security and compliance.

MIT ライセンスとは

最も単純なオープンソースライセンス契約の 1 つである MIT ライセンスについて詳しく学び、ライセンスコンプライアンスを既存のワークフローに統合しましょう。

Ethical Hacking: Skills & Training

Both technical and non-technical skills are required for ethical hacking, find out what you need to learn, and where to learn it!

Ethical Hacking: Certifications

Ethical hacking certifications are a key part of learning. Find out which certifications are popular and how to prepare for ethical hacking exams.

Cybersecurity audit types explained

Learn the different types of security audits, when you should use each of them, and where to integrate audits into existing security pipelines.

サイバーセキュリティに不可欠なクラウドセキュリティ

公開クラウドプロバイダーは、そのビジネスモデルからして社会的信用を維持する必要があるため、セキュリティが優先されますが、従来のオンサイト型の IT インフラを縛っていた境界線は、クラウドには存在しません。

SAST vs.SCA テスト: 違いは何ですか？組み合わせて使えますか？

SAST と SAST について学び、安全なソフトウェアをリリースし、真に安全なアプリケーションを作成するためにそれらをどのように活用するかを学びましょう。

Protecting the Heart of Healthcare: Cybersecurity Strategies and Solutions

Explore the essentials of healthcare cybersecurity and learn how to protect sensitive patient data from cyber threats effectively.

静的アプリケーションセキュリティテスト (SAST)

静的アプリケーションセキュリティテスト (SAST)、その長所と短所、およびソースコードを安全に保つのに役立つ方法の詳細をご覧ください。

How chat memory manipulation can ruin your AI system

Discover how chat memory manipulation can disrupt AI performance, lead to data drift, and compromise user trust. Learn key risks, real-world examples, and how to safeguard your AI systems.