Resources

$800K+ Up for Grabs: 12 AI Hacking Competitions That Could Launch Your Security Career

Survey the best AI security competitions in Q4 2025 and beyond. Discover 12 AI hacking competitions with over $800,000 in prizes, organized by difficulty, to launch your security career.

Preventing Path Traversal Vulnerabilities in MCP Server Function Handlers

Learn how to secure your MCP servers with best practices and Snyk Code's SAST tool to detect and fix security issues before they become a problem.

Unlocking Digital Health: Mastering Asset Discovery in Healthtech

Explore the vital role of asset discovery in safeguarding Healthtech, ensuring robust security and compliance.

Protecting the Heart of Healthcare: Cybersecurity Strategies and Solutions

Explore the essentials of healthcare cybersecurity and learn how to protect sensitive patient data from cyber threats effectively.

Top 5 Tips to Choose the Right DAST Tool

Choosing the right DAST tool is crucial for safeguarding your web apps and APIs from evolving threats, especially with the accelerated pace of AI-powered development. Learn more about the 5 essential factors to consider when selecting a DAST tool.

Navigating the New Frontier: AI Cloud Security Risks and Mitigation Strategies

Discover the top AI cloud security risks & learn proven mitigation strategies. Explore how to implement secure AI cloud infrastructure to protect data, models, and systems effectively with Snyk.

The Hidden Costs of Ignoring API Security

Discover the hidden costs of ignoring API security, from breaches and fines to lost trust and revenue, and learn how a proactive approach can save your business.

From Patient Portals to EHRs: Securing the Healthcare Ecosystem

Explore the vital role of security in healthcare technology, ensuring data protection and regulatory compliance.

What is AI Explainability? Real-World Applications of Explainable AI

Find out more about AI explainability and how Tools like Snyk's AI BOM help organizations understand the explainability landscape of their AI implementations.

Smarter AppSec: How AI is Revolutionizing Web Application Scanning

Explore how AI is revolutionizing web application scanning. Learn to secure modern apps with smarter, developer-first SAST and DAST tools that find and prioritize real threats, helping developers fix vulnerabilities faster.

Slopsquatting: New AI Hallucination Threats and Mitigation Strategies

Discover how slopsquatting is emerging as a serious AI hallucination threat and learn practical mitigation strategies to protect your content and ensure AI accuracy with Snyk.

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.

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.

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.

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.

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.