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React Security with AI
Rating: 4.6 out of 5(9 ratings)
42 students

React Security with AI

Master Secure Web App Development Using ChatGPT and LLMs
Last updated 4/2025
English

What you'll learn

  • Build secure React applications by integrating AI-assisted development workflows using tools like ChatGPT and local LLMs.
  • Design and refine security-focused prompts to identify and mitigate common web vulnerabilities (XSS, CSRF, Insecure Auth, etc.) in React code
  • Automate secure code generation, refactoring, and code review using AI prompt patterns that are tailored for React components and APIs.
  • Apply AI-driven static analysis and secure-by-design techniques to protect sensitive user data and prevent common attack vectors in the browser.
  • Build and deploy React applications with confidence using AI-enhanced DevSecOps practices for CI/CD and secure environment config.
  • Develop a reusable library of prompt engineering patterns for secure frontend development, tailored for real-world team use.

Course content

2 sections14 lectures1h 46m total length
  • Introduction25:48

    In this first lesson, you'll get a clear understanding of what React Prompt Engineering is — and why it’s becoming a must-have skill for modern frontend developers.

    We’ll explore how AI tools like ChatGPT and open-source LLMs are being used to accelerate development, identify security issues, and enhance code quality — especially in React-based apps.

    You'll learn:

    • What “prompt engineering” means in the context of React and modern UI workflows

    • Why prompt design is critical for security-aware development

    • The role of AI in detecting bugs, optimizing code, and guiding secure architecture decisions

    • A high-level view of how we’ll integrate LLMs into the React development lifecycle

    By the end of this intro, you'll understand the why behind this course — and how it can reshape the way you build and secure web applications.

  • What is XSS?16:17

    In this lesson, we break down one of the most common and dangerous web vulnerabilities: Cross-Site Scripting (XSS).

    Whether you’ve encountered XSS before or this is your first deep dive, you’ll walk away with a solid understanding of:

    • What XSS is and how it works

    • The different types of XSS (Reflected, Stored, DOM-based)

    • Why React helps — but doesn’t eliminate the risk entirely

    • Real-world examples of how attackers exploit XSS in modern frontend apps

    • How LLMs can help you identify and mitigate XSS early during development

    We’ll also look at how prompt engineering can be used to guide AI tools like ChatGPT to audit and secure your components — ensuring your app is hardened against malicious input.

    By the end of this video, you’ll understand not just the theory of XSS — but how to spot it, prevent it, and explain it to your team.

  • What is React security?9:50

    React makes building powerful frontends easier — but secure React development requires more than just using the framework correctly.

    In this lesson, we’ll define what “React Security” really means in the modern development landscape. You’ll learn how to recognize the key security concerns specific to React, and why relying solely on framework defaults can still leave you vulnerable.

    We’ll cover:

    • Common React-specific security pitfalls

    • Why built-in protections (like auto-escaping JSX) don’t stop all attacks

    • Key concepts like component-level trust boundaries, secure routing, and safe API integration

    • How AI tools and prompt engineering can assist in automating secure coding patterns

    This lesson will help you shift from just "building React apps" to building secure-by-design React apps — with a mindset that anticipates and defends against real-world threats.

Requirements

  • Basic understanding of JavaScript and modern React (hooks, components, JSX)
  • Curiosity about security and AI — no prior experience in either is required
  • Access to tools like ChatGPT or other local/open LLMs

Description

AI is changing how we build software — and security can’t be an afterthought.


In this hands-on course, you'll learn how to use AI tools like ChatGPT and local LLMs to build and secure modern React applications from the ground up.

Whether you're a frontend dev, full-stack engineer, or just React-curious, you'll walk away knowing how to engineer effective prompts, automate code reviews, and harden your apps against common web attacks — all with the help of AI.

You'll learn the same secure-by-design principles used by top tech teams, but with a modern twist: AI isn't just assisting you — it's helping you think like a security expert.

What you’ll do in this course:

  • Build React apps that are secure, scalable, and AI-enhanced

  • Engineer prompts that help AI find and fix bugs before attackers do

  • Catch common security flaws like XSS, CSRF, and insecure auth

  • Use AI to automate code review, refactoring, and dependency analysis

  • Integrate AI into your DevSecOps pipeline and daily workflow

  • Create a reusable prompt playbook for secure React development

This course is for you if:

  • You're a developer who wants to build safer frontends without becoming an AppSec guru

  • You’re curious about using AI tools like ChatGPT or open-source LLMs in real projects

  • You want to stay ahead of the curve by combining React, security, and AI

  • You’re ready to build with confidence — and ship code that’s smart and secure

No security background? No problem.
We start from first principles and guide you step by step — with real-world examples, best practices, and AI workflows you can use right away.

Ready to write secure React apps with AI as your co-pilot?
Let’s get building!

Who this course is for:

  • Frontend developers who want to build more secure React applications and level up their security skills without needing a deep AppSec background.
  • React developers curious about integrating AI tools like ChatGPT or open-source LLMs into their workflows for smarter coding, refactoring, and secure code generation.
  • Full-stack engineers looking to improve the security posture of their frontend code by learning how to think like attackers — and defend like professionals.
  • AI enthusiasts and prompt engineers who want to apply their skills to real-world software security problems using React as the sandbox.
  • Technical team leads and DevSecOps engineers interested in bringing secure-by-design and AI-driven practices into their frontend teams and CI/CD pipelines.