Skip to main content

リソース

Ebook

5 Critical Capabilities for Progressing Your DevSecOps Program

今すぐ読む
種類
トピック

表示中 1 - 24 / 458 リソース

eBook

AI Code Guardrails

Article

What You Need to Know About Agent2Agent Protocol

Discover how Google's new Agent2Agent protocol is set to solve AI interoperability and how it enables AI agents to collaborate across enterprise environments, breaking down silos, reducing vendor lock-in, and accelerating automation.

Article

Understanding the AI Bill of Rights: U.S. Framework for Ethical AI | Principles, Compliance, and Key Takeaways

Learn what the AI Bill of Rights is, why it matters, and how to align with its five core principles to build safer, fairer, and more accountable AI.

Video

Claude 4 Builds Apps from ONE Prompt - An In-depth Overview

Video

Can Google Jules Build a SECURE Note Taking App?

Article

Agentic AI vs Generative AI

Discover the key differences between agentic and generative AI, and why those distinctions matter for innovation, automation, and security planning.

Article

From Vision to Trust: How to Launch an AI Governance Program

Unlock safe AI innovation! Learn how Snyk built its AI governance program from vision to execution, ensuring trust, managing risk, and empowering teams to build securely and responsibly.

eBook

Building AI Trust: Secure Code at the Speed of AI | AI-Driven Security Coding Frameworks

White Paper

Introducing AI TrustOps | Secure AI-Driven Development

Article

StarChat

Discover StarChat, a uniquely tailored internal AI assistant designed to streamline the process of writing StarLang code.

Article

Secure AI Coding With Snyk: Now Supporting Model Context Protocol (MCP)

Snyk’s newfound support for Model Context Protocol (MCP) offers real-time security to AI-powered workflows, expanding secure development across other MCP-supported AI developer tools.

Video

Is Windsurf's SWE-1 Model a Game Changer? Let's See...

Video

Vibe Coding with Claude Agentic AI Tool

Article

5 Best Practices for Building MCP Servers

Building MCP Servers has become a mainstream gateway to externalize product capabilities to AI applications and AI-driven workflows. Here are 5 best practices for building MCP Servers.

Article

From Slack Threads to Structured Knowledge: Implementing RAG at Snyk

Snyk converts Slack conversations into structured knowledge using RAG. Learn how focusing on Q&A and Gemini API extracts valuable insights for a smarter internal knowledge base.

Article

Understanding Prompt Injection: Techniques, Challenges, and Risks

A prompt injection attack is a GenAI security threat where an attacker deliberately crafts and inputs deceptive text into a large language model (LLM) to manipulate its outputs.

Video

Snyk in 30: SAST + DAST Better Together

Article

The Role and Impact of AI in Endpoint Security

Discover AI's transformative impact on endpoint security. Learn how AI enhances threat detection, incident response, and tools like EDR/XDR for robust cybersecurity in the evolving threat landscape.

Article

Navigating AI for Source Code Analysis

Explore AI's role in source code analysis—from detecting bugs and vulnerabilities to optimizing performance. Understand how to use AI tools responsibly for secure and efficient software development.

Article

How To Get Started with AI Compliance and Why It Matters

Master AI compliance! Learn what it is, why it matters, and how to get started with frameworks and best practices to manage risk, security, and trust in AI systems.

Article

Responsible AI Usage: Key Principles, Best Practices & Challenges

Key principles of responsible AI usage include fairness, transparency, and accountability. Best practices when deploying AI are crucial to ensuring ethical and meaningful implementation.

Article

10 MCP Servers for Entrepreneurs Using AI

Uncover ten MCP servers specifically built to support entrepreneurial functions, covering everything from e-commerce and payments to project management and customer communications.

Article

9 MCP Projects for AI Power Users

Explore 9 Model Context Protocol (MCP) projects that transform LLMs into versatile collaborators for power users looking to supercharge their AI workflow.

Article

11 Data Science MCP Servers for Sourcing, Analyzing, and Visualizing Data

Discover eleven MCP servers specifically engineered for data science workflows, spanning everything from dataset discovery and exploration to sophisticated mathematical visualizations.