Recursos

CSPM vs SSPM: Understanding the Differences and When You Need Both

Understand the critical differences between CSPM and SSPM and why modern enterprises need both to secure their cloud infrastructure and SaaS applications. While CSPM focuses on IaaS and PaaS security, SSPM targets risks within SaaS platforms like Microsoft 365 and Salesforce.

Debunking the Top 5 Myths About DAST

Modern Dynamic Application Security Testing (DAST) has evolved far beyond its outdated reputation for being slow or noisy. This guide debunks five common myths, demonstrating how AI-driven DAST provides fast, automated runtime security that catches critical vulnerabilities static analysis often misses.

From SBOM to AI-BOM: Rethinking Visibility in AI-Native Systems

AI supply chains move too fast for SBOMs. Learn why AI-BOM is becoming the foundation for AI security and governance.

Best Practices for DAST Scanning, Execution & Implementation in the SDLC

Master DAST scanning best practices for your SDLC. Learn to define scope, optimize execution in CI/CD, prioritize results, manage false positives, & integrate Snyk API & Web for application security.

SAST for SQL Injection Detection: A Complete Guide

Static Application Security Testing (SAST) is a cornerstone of a proactive defense against SQL injection (SQLi). Snyk Code uses the power of SAST to detect SQL injection vulnerabilities in source code, prevent attacks early, & strengthen application security before deployment.

5 Steps to AI-Ready Security Without Pipeline Drag: A Platform Leader's Cheatsheet

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.

How MCP and the A2A Protocols Impact API Management Gartner Report

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.