Resources

What Users Want When Vibe Coding

Vibe coding promises speed but delivers tech debt & security risks. Developers need guardrails, not just velocity, to avoid production disasters, cost explosions, and skill erosion. Learn what users truly want for AI-assisted coding.

Reducing False Positives: Best Practices for App Security Testing

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.

How to Add MCP Servers to Goose

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.

How to Add MCP Servers to Kiro (Amazon)

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.

AppSec Speedbumps: When Velocity Compromises Security

Snyk named a Leader in 2025 Gartner® Magic Quadrant™ for AST

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.

How to Add MCP Servers to Windsurf

5 Things You Need to Know About Securing AI-Native Software - AI AppSec Cheatsheet

The Rise of Agentic AI

Secure by Design with the Snyk AI Trust Platform

Secure by Design: A Playbook for AI-Assisted Coding

Learn how to securely scale AI coding tools like Copilot and Gemini using guardrails that protect code without slowing development teams down.

Is This the Best Coding Model in the World? Claude Sonnet 4.5

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.

AI Guardrails in Finance: Enforcing Trust at Scale - LLM Security for Financial Services

Learn how financial institutions can adopt AI coding tools securely using conditional access to meet compliance requirements without slowing developers down.

Secure at Inception: The New Imperative for AI-Driven Development

Traditional security is too slow for AI-driven development. Learn about "Secure at Inception," a new approach that proactively prevents vulnerabilities in AI-generated code and clears backlogs with AI-Accelerated Remediation.

$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.

The case against secrets in .env files