Resources

From Development to Deployment: Building an AI-Driven Secure Web Application Ecosystem

Discover the critical challenges of securing modern web applications, from handling complex APIs to combating advanced, AI-driven threats. Learn how to integrate robust, AI-powered security measures effectively at every stage of the development lifecycle.

Modern Technology Environments Demand Modern Application Security Testing

Legacy security testing tools fail to protect modern applications. Learn the hallmarks of a modern, developer-first DAST solution built for today's complex CI/CD pipelines and APIs.

Road to AI TrustOps

How Cryptojacking Works and How to Defend Against It

Learn what cryptojacking is, how it works, and how to detect and prevent hidden crypto mining attacks across code, cloud, and container environments.

What’s Lurking in Your AI? A Deep Dive into AISPM with Snyk

Guardians of the Gateway: How API Security Testing Tools Protect Your Data

Explore how API security testing tools enhance digital defenses, ensuring robust protection and operational continuity.

Between You and the Data: Defending Against Man-in-the-Middle Attacks

Learn how Man in the Middle (MITM) attacks work, how to detect them, and how to prevent interception risks across your code, infrastructure, and apps.

Build Apps Anytime, Anywhere - New Cursor Web & Mobile Agents

Beyond the Basics: Advanced Insights into XSS Vulnerabilities

Explore XSS attacks and empower your development teams with AI-powered prevention strategies. Uncover their mechanisms and learn how to secure web applications and protect user data.

Security That Thinks: How AI Is Rewriting the Rules of SecOp

Discover how AI SecOps enhances detection, reduces noise, and automates response, plus steps to implement it with the right models, data, and tools.

Scaling LLMs Securely Starts with the Right Ops Framework

Learn what LLMOps is, how it differs from MLOps, and what it takes to build, scale, and secure large language models in real-world production.

Achieving DevSecOps With Snyk | Snyk in 30 Demo

Is AI Agentic Development Environment Here? (Warp 2.0)

Eliminate the BOREDOM and Focus on the FUN: How to Use OpenAI Codex Cloud

Decoding SQL Injection: Strategies for Secure Web Applications

Explore the intricacies of SQL Injection: learn its workings, impacts, and robust strategies to shield your web applications from this threat.

Building Interactive MCP Servers Experience on the Terminal using Python Fast Agent AI Framework

Learn to create AI-enabled chat experiences on the terminal using Fast Agent, a Python open-source framework. Integrate MCP servers for features like file system access and URL fetching to enhance your agentic workflows.

The Rise of API Security: Why It Matters More Than Ever

Discover why API security is essential in the age of AI-driven development. Learn how to manage risk, ensure compliance, and empower developers with real-time, AI-powered defense to safeguard vital data.

AWS AI Security: How to Identify, Prevent & Mitigate AI-Specific Risks

Learn how to secure AI workloads on AWS by identifying, addressing & mitigating model risks, data leakage, prompt injection, and compliance across the full AI lifecycle.

Unified Security: Protecting Applications with SAST and DAST

Discover how combining SAST and DAST provides full application security, bridging gaps in visibility and ensuring protection from code to runtime vulnerabilities.

Building a Security News Summary with CrewAI AI Agent

Learn how to create an AI agent using the CrewAI framework to curate and summarize critical security vulnerabilities from the Snyk database. Automate your security news feed and stay informed effortlessly.

High velocity, low risk: How tech leaders can secure innovation without slowing down

Struggling with security in high-speed development? Learn how to embed developer-first security into your SDLC. Empower your team to secure innovation and reduce business risk without sacrificing velocity.

Scaling Threat Modeling Through Security Champions

Secure Your Runtime Apps with Snyk API & Web DAST

Data Quality in AI: Challenges, Implementation, Audits, & Best Practices

Discover how to improve AI performance with better data quality, including key metrics, tools, best practices, and common pitfalls to avoid.