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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.

AI for Offensive Security: How Smart Offense is Changing the Face of Cybersecurity

Explore how AI is revolutionizing offensive security, empowering red teams with advanced tools for reconnaissance, exploit generation, and social engineering.

SOC 2 Without the Headaches: A Developer-Friendly Guide to Attestation

Learn how to simplify SOC 2 compliance with integrated security testing, streamlined audits, and workflows that support fast, secure development.

Achieving ISO 27001 Compliance: Key Challenges and Best Practices

Learn how to overcome ISO 27001 challenges and embed security into developer workflows with scalable, audit-ready best practices.

The Rise of Agentic AI and What It Means for Us

Agentic AI is an innovative technology that can make decisions and take action on its own to get things done. But what is the impact of Agentic AI on cybersecurity?

Developer-First Security: Building Fast and Secure in CI/CD Pipelines

Learn how integrating security into CI/CD pipelines empowers developers to deliver secure, high-quality applications without compromising speed or agility.

Cursor's One-click Install MCP in Action

Next-Level CI/CD: Embedding Security in Your DevOps Journey

Discover how to integrate robust security into your CI/CD pipeline to safeguard against emerging threats and ensure compliance.

The Gorilla Guide to Security & Governance for AI

Snyk in 30: Building AI Trust with Snyk

Demystifying Traditional (Symbolic) AI

If deep learning is instinct, Symbolic AI is wisdom. Uncover the power of traditional, rule-based AI, why its explainability is critical for security , and how it creates powerful hybrid systems when combined with machine learning.