Recursos

From Innovation to Integrity: Safeguarding APIs in Complex Ecosystems

A New Model You Haven't Heard About (GitHub Raptor Mini)

How to Add MCP Servers to Google's Antigravity IDE

Beyond AppSec: Discover and Assess Risk in Your AI Lifecycle With Snyk Labs

Catch Vulnerabilities Early: Your Snyk MCP Cheat Sheet

Integrate security into AI workflows with the Snyk MCP Server cheat sheet. Learn installation, configuration, transport types, core security scanning functions (Code, SCA, IaC), and rules for agentic AI tools.

AI Security Tool Evaluation Framework: A Strategic Guide for CISOs

CISO’s Guide to Evolving AppSec in the AI Era: From Reactive Fixing to Proactive Risk Reduction

Top CI/CD Pipeline Security Best Practices for AI-Powered Development

Fortify your AI development lifecycle. Learn top CI/CD security best practices to protect against prompt injection, data poisoning, and model inversion from code to cloud.

Gartner Report: How MCP and the A2A Protocols Impact API Management

How to Add MCP Servers to JetBrains

Implementing SAST in Azure DevOps: A Complete Guide for DevSecOps Integration

By integrating SAST directly into our Azure DevOps pipelines, we catch issues like SQL injection, cross-site scripting, and insecure authentication patterns before they reach production.

Google Gemini 3 Pro Builds an App with ONE PROMPT...

AI in SDLC: A Complete Guide to AI-Powered Software Development

Discover how AI is transforming the Software Development Life Cycle (SDLC). Learn the benefits, challenges, and real-world use cases of AI-powered software development.

Buffer Overflow Security Analysis: From Prevention to Detection & Defense

Protect your applications from buffer overflow attacks with a multi-layered security approach. Learn how SAST, DAST, runtime protections, and Snyk’s proactive tools help detect, prevent, and remediate memory corruption vulnerabilities in C/C++ and other high-risk environments.

What Is Toxic Flow Analysis in Cybersecurity? Framework, Identification Techniques & Implementation

Toxic Flow Analysis maps how sensitive data moves across systems to uncover hidden risks, strengthen defenses, and improve security posture.

288% ROI: Quantifying the Total Economic Impact of the Snyk AI Security Platform

The Gorilla Guide® To Unified SAST and DAST in the AI Era | Snyk

5 AI Cloud Security Best Practices: A Comprehensive Guide for Securing AI Systems in the Cloud

Discover the top 5 AI cloud security best practices to protect your AI models, data, and pipelines. Learn how to secure AI systems in the cloud against emerging threats with this comprehensive guide.

How Claude Code Is Raising the Ceiling of Intelligence

Anthropic's Claude Code is evolving into a customizable agent framework. Learn about 7 new features: extended thinking, tool use, MCP, memory, and secure execution.

From Gatekeeper to Guardrail: Embracing the Role of Governance for the AI Era

AI code assistants demand a new AppSec governance model. Shift from late-stage "gatekeepers" to real-time "guardrails" with Policy-as-Code and developer-first security. Learn how to secure Al-generated code from inception.

Can Claude Opus 4.5 Build a SECURE Note Taking App?

Gemini Nano Banana Cheat Sheet for JavaScript Developers

Explore this cheat sheet for JavaScript/TypeScript developers on integrating Google's Gemini Nano Banana model. Master the AI SDK, prompt engineering, image generation, Data URL conversion, and security best practices with Snyk Studio.

Understanding Toxic Flows in MCP and the Hidden Risk of AI-Native Systems

A deep dive into toxic flows in MCP and how AI agents can unintentionally create attack paths across tools, data, and systems.

Who’s Really in Control? Governing the Invisible Hands of AI | Snyk