Recursos

Generative AI vs. Predictive AI: A Practical Guide for Security Professionals

Get a practical roadmap for implementing Generative and Predictive AI in cybersecurity. This guide provides decision factors, budgets, timelines, and phased plans to help you choose the right AI strategy for your organization's security needs.

Generative AI vs Predictive AI: Understanding the types of AI

Explore Generative vs. Predictive AI in cybersecurity. Learn how one creates new content for simulations while the other forecasts threats. Combine both AI types to build an adaptive defense and stay ahead of modern attacks.

Secure Your Agentic Apps with the Right Vendor

Secure Every Layer, Empower Every Team: The Unified Snyk Platform

5 Tips for Agentic Coding with Gemini CLI

Unlock secure agentic coding with Gemini CLI. Learn five tips, including using GEMINI.md for project context, integrating Snyk for security scans, and leveraging custom commands to automate your workflow.

Nx npm Malware Explained: AI Agent Hijacking

AI TRiSM: A Comprehensive Framework for Responsible AI Implementation

Discover what AI TRiSM is, why it matters, and how it ensures trust, risk, and security in artificial intelligence. Learn key strategies to manage AI responsibly.

Package Hallucination: Impacts and Mitigation

Malicious actors can exploit errors in generative AI tools, and packages can hallucinate. Learn how to identify and mitigate package hallucination attacks with Snyk

Transforming Healthtech Security Through Automation

Explore how automation enhances cybersecurity and operational efficiency in Healthtech, ensuring robust data protection.

The Surprising Truth About GPT-5 in Cursor’s Agent Mode

What Is Prompt Engineering? A Practical Guide for Developers and Teams

Learn what prompt engineering is, how it improves LLM outputs, and the tools and techniques you need to write effective, secure AI prompts.

How To Run Models (LLM) Locally with Docker

Master how to run Large Language Models (LLMs) locally with Docker. This quick-start guide is for developers who want to learn more about the process of setting up models to run locally on their laptop.

Unified AppSec RFP Template for AI-Driven Development | Snyk

DevSecOps Modernization RFP Template: Securing AI-Powered Development

Preventing XXE Attacks: Strategies for Secure XML Processing

Discover how to safeguard your XML processes against XXE vulnerabilities with advanced prevention techniques.

AI Inference in Cybersecurity: Real-Time Threat Detection at Scale

Discover what AI inference is, how it powers real-time decision-making in machine learning models, and why it's crucial for edge computing and business innovation.

DAST and Compliance: Bridging the Gap Between Regulation and Innovation

Discover how DAST bridges the gap between compliance and innovation, empowering teams to meet regulatory standards while accelerating secure development.

AI Model Theft: Understanding the Threat Landscape and Protective Measures

Model theft attacks occur when an attacker gains access to the model's parameters. Find out how to prevent and mitigate LLM threats and security risks.

Dark AI: Exploring the Shadows of Artificial Intelligence

Explore how dark AI is transforming cybercrime, the threats it poses to data privacy, and how proactive security can help organizations stay ahead.

AI Chat Memory Manipulation

Unlocking API Security: Strategies for Protecting Your Digital Assets

Speed Meets Security: Shifting Left with DAST and SAST

Snyk in 30: Scaling Security Education with Snyk Learn

API Security in Telemedicine: Protecting Sensitive Patient Data

Explore how secure APIs are essential for telemedicine, addressing data privacy, compliance, and protecting sensitive patient information across platforms.