
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.
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.
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.
In this lesson, we explore how React helps defend your application against one of the most pervasive web threats: Cross-Site Scripting (XSS).
React’s default behavior provides solid protections against many forms of XSS — but it’s not bulletproof. This video will show you how React's JSX rendering engine escapes content, and when those protections can break down.
You'll learn:
Why React auto-escapes content — and how that stops most injection attacks
Where developers unintentionally disable protections using APIs like dangerouslySetInnerHTML
Common anti-patterns that reintroduce XSS vulnerabilities into React apps
How AI tools and prompt engineering can help identify and fix risky patterns automatically
By the end of this video, you’ll understand how React defends against XSS, and how to write components that leverage these protections correctly — without bypassing them by accident.
User-controlled URLs can be deceptively dangerous — especially in React apps that dynamically generate links, redirects, or embedded content. If mishandled, they can lead to serious vulnerabilities like open redirects, XSS, and phishing exploits.
In this lesson, you'll learn:
What makes a URL "dangerous" in the context of web security
Common mistakes like blindly injecting user input into href, src, or redirect logic
How to safely handle untrusted URLs in JSX, navigation, and routing
How to prompt AI tools to audit and sanitize URL usage in your React components
Safe coding patterns to avoid injection or redirect-based attacks
We’ll walk through practical examples of unsafe vs. secure URL handling — and show you how to use prompt engineering to catch these mistakes before they go live.
By the end of this video, you'll know how to treat URLs as a critical attack surface — and how to use both code and AI tools to keep them safe.
Rendering user-generated HTML in React is one of the most dangerous patterns you’ll encounter — and it’s a common gateway for XSS attacks if not handled with extreme care.
In this lesson, we dive into:
Why rendering raw HTML is a high-risk operation in React
How dangerouslySetInnerHTML works — and why it's named that way
Safer alternatives for displaying user content (like Markdown rendering with sanitization)
How to use AI tools and prompt engineering to flag and fix insecure HTML rendering patterns in your codebase
Real-world attack scenarios that exploit improperly sanitized content
This is one of the most critical security concepts in frontend engineering — and one of the easiest places to make a mistake. You’ll learn how to recognize unsafe patterns, choose safer options, and leverage AI to automate guardrails during development.
By the end of this video, you’ll know when (and if) it’s ever safe to render user HTML — and exactly how to reduce your exposure if you must.
Embedding JSON directly into your frontend — whether in HTML, <script> tags, or inline data — is a common and often overlooked security risk in modern React apps.
In this lesson, you'll learn:
Why embedding JSON is useful for client-side hydration, preloading data, or sharing server state
How improperly embedded JSON can open the door to XSS attacks, especially in SSR (Server-Side Rendered) apps
Safe techniques for embedding JSON in HTML — including how to escape characters like <, >, and </script>
How to use prompt engineering to generate safe, reusable data serialization helpers with AI
Examples of both secure and insecure patterns in real-world React code
By the end of this video, you’ll be able to confidently embed JSON into your frontend without creating unexpected vulnerabilities — and you’ll have AI-assisted patterns to back you up every time.
Styled Components and other CSS-in-JS solutions offer powerful styling capabilities in React — but when used carelessly, they can introduce subtle and dangerous security issues.
In this lesson, you’ll explore:
How Styled Components and similar libraries inject dynamic CSS into your app
The risks of injecting untrusted user input into dynamic style definitions
How attackers can exploit unsafe styling logic to leak data or manipulate DOM behavior
How to use AI and prompt engineering to audit CSS-in-JS patterns for security flaws
Best practices for safely using props in styled components without creating injection risks
We’ll look at real code examples where style logic becomes an unexpected attack surface, and how to prevent that from happening in your own React apps.
By the end of this lesson, you’ll know how to spot and avoid dangerous patterns in styled components — and how to use AI tools to detect style-related injection vulnerabilities before they hit production.
Directly accessing the DOM in a React app can seem harmless — but when done improperly, it can introduce critical security vulnerabilities, bypass React’s safety mechanisms, and create maintenance headaches.
In this lesson, you’ll learn:
Why React’s virtual DOM exists — and what risks arise when you go around it
How native DOM manipulation can reintroduce vulnerabilities like XSS, insecure event handling, and DOM clobbering
The dangers of using APIs like document.querySelector, innerHTML, or setAttribute on untrusted input
How to prompt AI tools to detect unsafe DOM access patterns and recommend safer alternatives
When (and how) to access the DOM safely using refs, controlled APIs, or sanitized data
We’ll also cover real-world attack scenarios and explore how to build AI prompt patterns that help enforce React’s declarative, secure-by-design philosophy.
By the end of this video, you’ll be equipped to recognize when native DOM access is a problem — and how to code (or prompt) your way out of it safely.
Access control isn’t just a backend problem. Frontend apps — especially in React — often make authorization mistakes that can lead to serious security issues like privilege escalation, data leaks, and unauthorized actions.
In this lesson, you’ll learn:
The difference between authentication and authorization — and why authorization failures are among the OWASP Top 10
How to implement role-based access control (RBAC) and attribute-based access control (ABAC) in React apps
Common access control mistakes, like hiding UI elements but not protecting backend routes
How to use AI prompt engineering to review component-level access logic and suggest secure improvements
Practical strategies for protecting routes, actions, and UI elements based on user roles and permissions
You’ll also see how AI can help you automate permission checks, identify broken access control patterns, and build more resilient authorization logic — all with a React-native approach.
By the end of this video, you’ll understand why frontend access control matters — and how to get it right from both a development and security perspective.
Third-party libraries are the backbone of most React projects — but they also introduce one of the biggest and most underestimated security risks in modern frontend development.
In this lesson, you'll learn:
Why third-party packages are both a superpower and a security liability
How attackers exploit malicious packages, typosquatting, and dependency confusion
What to look for when evaluating the security posture of a library (update frequency, CVEs, transitive risk, etc.)
How to use AI-assisted prompts to audit dependencies, flag risky patterns, and help you make smarter decisions during npm install
Proven strategies for managing and securing third-party components in a scalable way (lockfiles, SBOMs, vetting checklists, etc.)
We’ll also walk through how to craft prompts that let AI analyze your package.json, flag outdated or vulnerable packages, and suggest safer or more secure alternatives.
By the end of this lesson, you’ll have a repeatable strategy — powered by both AppSec best practices and AI tools — for managing dependencies with confidence.
Open redirects are one of the most underestimated frontend vulnerabilities — but they can have serious consequences, especially in React apps that handle navigation, routing, or user input in URLs.
In this lesson, you’ll learn:
What an open redirect is and how attackers exploit it to perform phishing, token theft, and trust abuse
Common React patterns that introduce redirect vulnerabilities, especially when using window.location, navigate(), or query parameters
How to validate and constrain redirect targets using whitelists, URL parsing, and origin checks
How to use AI tools to scan your routing logic and detect open redirect risks using prompt engineering
Secure design strategies to help you avoid these flaws from the start
We’ll look at real-world examples, dissect vulnerable patterns, and show how LLMs can help you automate detection and suggest secure redirect handling code.
By the end of this lesson, you’ll know exactly how to identify and prevent open redirects — and how to harden your React app against this stealthy but serious threat.
Server-Side Rendering (SSR) brings speed and SEO benefits to React apps — but when implemented without proper safeguards, it can open the door to serious security flaws like template injection and data leakage.
In this lesson, you’ll learn:
How SSR works in modern frameworks like Next.js and where the security boundaries live
The dangers of template injection, where untrusted data is rendered unsafely in server-side views
How insecure SSR can expose session data, leak sensitive variables, or allow malicious script injection
How to use AI tools and prompt engineering to identify insecure render logic and injection flaws
Best practices for secure SSR — including strict data encoding, output escaping, and safe hydration strategies
We’ll walk through real-world SSR vulnerabilities, break down how template injection works, and show how to leverage LLMs to review rendering pipelines for risky patterns.
By the end of this video, you’ll know how to recognize and defend against the most dangerous SSR and templating issues — using both manual expertise and AI-assisted review workflows.
We just wish to say goodbye and thank you for taking the time to watch our course!
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!