リソース

Beyond Predictability: Securing Non-deterministic Generative AI in Today's Cyber Landscape

Explore how to secure non-deterministic generative AI systems in an evolving cyber threat landscape. Learn key risks, real-world implications, and expert strategies for resilient AI deployment.

Can Claude Opus 4.1 Improve My Code Security?

Balancing Efficiency and Security: API Protection in E-commerce

Learn essential strategies to secure retail APIs, protect customer data, and enhance e-commerce trust by mitigating API vulnerabilities and risks.

AI Bill of Materials (AIBOM) for Python Developers: Mapping Your AI Dependencies with Snyk

Snyk's new experimental AIBOM tool helps Python developers by providing automated discovery & cataloging of AI dependencies across your projects.

Protecting Financial APIs: Strategies for Preventing Data Breaches

Explore the key challenges and essential strategies for securing financial APIs, from data privacy and compliance to reducing risks in complex environments.

Proving the Payoff: How Security Testing Delivers Tangible ROI

7 Habits of Highly Successful DAST Super Users

Understanding AISPM: Securing the AI Lifecycle

Learn what AISPM is, why it matters, and how it helps organizations secure AI systems, reduce risk, and support safe, scalable innovation.

How to Add MCP Servers to VS Code (with GitHub Copilot)

What is Bias in AI? Challenges, Prevention, & Examples

Learn what bias in AI is, why it matters, and how to detect and prevent it with real-world examples and best practices.

What We Found with OpenAI's Codex CLI Tool

Stop Data Exfiltration Before It Starts: 9 Proven Strategies

Learn 9 strategies to detect and prevent data exfiltration from insider threats to AI-powered attacks before sensitive data leaves your environment.

From Innovation to Protection: Ensuring Data Security in Healthcare

Secure patient data and Health Tech innovations against evolving cyber threats. Discover strategies for continuous security, from embedding automated testing in your CI/CD pipelines to performing regular risk assessments.

Breaking Down Silos: Collaboration Between Developers and Security Teams

Bridge the gap between developers and security teams. Learn how shared tools, aligned goals, and collaboration can drive secure, high-quality applications faster.

AI Intrusion & Anomaly Detection: Approaches, Tools, and Strategies

Explore AI intrusion detection systems (IDS) and anomaly detection strategies. Learn how ML and deep learning secure AI models against emerging threats and what tools and approaches to use.

Modern DevSecOps: 6 Best Practices for AI-Accelerated Security | AI SecOps

The AI-enhanced Security Champion

Helping Gemini Code Assist to Generate Secure Code

Learn how Snyk's MCP server integrates with Gemini Code Assist to automatically scan and fix security vulnerabilities in AI-generated code, ensuring secure development workflows.

Gorilla Guide to Security Champions in the Age of AI

Next-Generation Dynamic Analysis in a DevSecOps World

9 MCP Servers for Computer-Aided Drafting (CAD) with AI

Explore 9 Model Context Protocol (MCP) servers transforming Computer-Aided Drafting (CAD) with AI. Automate tasks from sketching to assembly modeling across platforms like AutoCAD, Fusion 360, FreeCAD, and Onshape, and learn how to secure your AI-generated designs.

OpenRouter in Python: Use Any LLM with One API Key

Simplify AI development by using OpenRouter to access dozens of LLMs with a single API key in Python. Learn the bare-bones implementation and explore features like model routing, streaming, and vision models, all while building securely with Snyk.

How Snyk API & Web Achieves An Industry-Leading False Positive Rate

How to Add MCP Servers to Claude Code CLI