🚨 NEW COURSE ALERT: “Prompt Injection” — The Exploit Hiding in Plain Sight
Generative AI is everywhere. It's writing our emails, summarizing our meetings, debugging our code, and even helping us craft love letters or cat bios. Whether you're a developer, marketer, analyst, or customer support guru, chances are you’ve got an AI co-pilot riding shotgun.
And for good reason: according to McKinsey’s 2025 Global AI Pulse, over 72% of enterprises now actively use generative AI in production, with ROI improvements averaging 18–24% across product development, customer engagement, and internal ops. AI isn't just a buzzword anymore—it’s a market-defining differentiator. Need proof? Companies adopting GenAI are 3x more likely to release new products faster than their competitors.
But just as fast as we’re building with AI, threat actors are racing to break it.
And they’re doing it with… words.
🎭 Enter Prompt Injection: The AI Hacker’s Favorite Toy
Welcome to the dark side of AI. While you’ve been prompting ChatGPT to plan your vacation or DALL·E to generate watercolor dragons, attackers have been quietly finding ways to hijack those prompts—manipulating models to do things they shouldn’t.
This is called Prompt Injection, and it’s not some far-fetched academic concern. It’s real, rampant, and risky.
The OWASP Top 10 for LLM Applications (2025) ranks Prompt Injection as #1: “Most Prevalent AI Vulnerability”. And it’s easy to see why:
- 📧 Gmail Prompt Injection attacks tricked AI-driven email systems into leaking sensitive data.
- 🎯 Trend Micro’s 2025 report exposed “Link Trap” attacks, where generative AI inserted malicious URLs into helpful-looking outputs.
- 💬 AI chatbots, browser assistants, and customer service tools have all been caught parroting poisoned prompts—sometimes days or weeks after the original injection.
Even worse, as we move into Agentic AI ecosystems using the Model Context Protocol (MCP)—where multiple LLM agents talk to each other and execute real-world tasks—the blast radius of a single prompt injection grows exponentially. One bad prompt, and you’ve got AI agents downloading malware, exposing secrets, or rewriting policy documents with a smile.
📚 New eLearning Course: Prompt Injection – Spot It. Break It. Fix It.
We’re thrilled to announce the launch of our newest course: Prompt Injection — a fun, immersive, hands-on journey into one of AI’s most critical security challenges.
Whether you’re building LLM apps, securing AI pipelines, or just curious how attackers manipulate language models, this course equips you with:
- ⚙️ A clear, practical understanding of how Prompt Injection works
- 🛠️ Dozens of Python code snippets that show how to break and fix vulnerable prompts
- 🧠 Deep dives into Agentic AI, MCP, and multi-agent attacks like tool poisoning, delegation injection, and persistent memory exploits
- 🛡️ Step-by-step defenses including prompt validation, output inspection, and integration with open-source tools like Llama Guard and LLM Guard
- 🧪 Live code walkthroughs simulating real-world attacks on LLM systems
This isn’t just theory. You’ll see how seemingly harmless code like:
prompt = f"Generate a description for {product_name}. {user_input}"
…can open the door to full-blown spam, phishing links, and sensitive data leaks. And more importantly, how to shut that door before an attacker walks through it.
🧩 Why This Course Matters — Right Now
AI is revolutionizing how we live and work—but it’s also introducing a new class of vulnerabilities, ones that don’t rely on SQL injections or cross-site scripting, but on clever words and context abuse.
And the stakes are high: AI systems are now generating everything from patient diagnoses to legal contracts. A single poisoned prompt can have cascading effects across organizations, platforms, and people.
By taking this course, you’re not just leveling up your skills—you’re helping shape a future where AI is secure by design.
🎉 Let’s Build a Safer AI Future—One Prompt at a Time
So, are you ready to inject some knowledge before someone injects your model?
Check out our new Prompt Injection course, available now. Learn how attackers think, how systems break, and how you can build apps that stay strong—even when the inputs get weird.
Remember: when it comes to AI security, it’s not the model’s fault—it’s the prompt’s.
Let’s fix that, together.