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Explore the productivity promises of AI code generation using ChatGPT to build a Node.js file upload API. As security vulnerabilities easily slip in, Snyk can help developers, regardless of their background, catch and fix these risks, ensuring secure application delivery.

We leverage LLMs for a real-world use case that financial banking applications might use to understand the real business impact of adversarial AI security regarding prompt injection.

Think your AI financial assistant is harmless? Learn how LLMs can be tricked via prompt injection to generate SQL injection payloads, weaponizing your application. Discover how insecure coding practices expose you and how Snyk can help detect and fix these dangerous vulnerabilities.

Explore LLM guardrails, why they matter, and how you can effectively implement them to ensure safe and trustworthy AI interactions.

Discover 7 Model Context Protocol (MCP) servers that connect AI assistants like ChatGPT to your product management tools. Streamline workflows for issue tracking, feature flags, analytics, and CRM, enhancing productivity and insights.

ChatGPT security risks include data leaks, AI-powered phishing, and compliance issues. Learn how enterprises can mitigate threats and use AI safely.

Explore the growing risks of shadow AI in software development. Learn about the common AI tools used in shadow AI, the associated risks, and how to implement the necessary security measures.

Explore the future of web application security—AI-driven defense, automation, Zero Trust, and proactive strategies to stay ahead of evolving threats.

Discover how AI accelerators improve AI performance, from training models to real-time inference. Learn about the key types of AI accelerators, their benefits, and the challenges of integration. Explore how Snyk can help secure your AI-generated code and ensure safe deployment.