Ressources

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

How chat memory manipulation can ruin your AI system

Discover how chat memory manipulation can disrupt AI performance, lead to data drift, and compromise user trust. Learn key risks, real-world examples, and how to safeguard your AI systems.

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.

How to Dockerize MCP Servers in JavaScript

Learn how to Dockerize your JavaScript MCP server. This guide covers creating a Dockerfile and setting up GitHub Actions for automated building, publishing, and signing.

Beyond Predictability: Securing Non-deterministic Generative AI in Today's Cyber Landscape

Explore how to secure non-deterministic generative AI systems in an evolving cyber threat landscape. Learn key risks, real-world implications, and expert strategies for resilient AI deployment.

Can Claude Opus 4.1 Improve My Code Security?

Balancing Efficiency and Security: API Protection in E-commerce

Learn essential strategies to secure retail APIs, protect customer data, and enhance e-commerce trust by mitigating API vulnerabilities and risks.

AI Bill of Materials (AIBOM) for Python Developers: Mapping Your AI Dependencies with Snyk

Snyk's new experimental AIBOM tool helps Python developers by providing automated discovery & cataloging of AI dependencies across your projects.

Protecting Financial APIs: Strategies for Preventing Data Breaches

Explore the key challenges and essential strategies for securing financial APIs, from data privacy and compliance to reducing risks in complex environments.

Snyk in 30: See Snyk in Action | Demo Series

Proving the Payoff: How Security Testing Delivers Tangible ROI

7 Habits of Highly Successful DAST Super Users