Fundamentals of AI Agent Security — WalkSelf
4.8 (20) ⏱ 2h 54m 📚 29 lessons

Fundamentals of AI Agent Security

Learn to protect language model applications by understanding prompt injection, implementing guardrails, and sandboxing agent actions.

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About this course

As AI agents become a core part of modern software, securing them against new types of vulnerabilities is essential. Without proper defenses, language models can be manipulated to leak data or execute unintended commands. This course provides a foundational understanding of AI application security. You will explore how to identify common threats and apply practical defense mechanisms to keep your systems safe. By focusing on fundamental concepts, you will gain the confidence to build resilient AI workflows. What you'll learn: • Understand core AI terminology and how language models process instructions • Identify and prevent prompt injection and jailbreaking attempts • Implement robust guardrails to validate inputs and filter model outputs • Secure Retrieval-Augmented Generation (RAG) pipelines against malicious data • Apply sandboxing principles to isolate and control AI agent actions • Design secure architectures for modern language model applications. The curriculum starts with essential definitions and the basic mechanics of language models before guiding you through specific vulnerabilities and defense strategies. You will read through detailed explanations and explore written code patterns to understand how security practices are applied in real-world scenarios. Designed for developers and software engineers who are beginners in AI security, this course requires no prior cybersecurity or advanced machine learning experience. Take the first step toward building secure and reliable AI applications today.

What you'll get

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  • Short & focused
    2h 54m of practical content

Reviews (20)

نورة السالم KW Verified learner
★ 5 · July 24, 2026

شرح ممتاز وواضح جداً للمخاطر.

Ricardo Vargas MX
★ 4 · July 23, 2026

El curso desarma muy bien cómo un atacante puede manipular un agente con instrucciones ocultas en un documento, algo que no había considerado antes. Los ejercicios prácticos ayudan a fijar el concepto en vez de quedarse solo en teoría. Eso sí, la parte sobre evaluación de riesgos se siente un poco apresurada comparada con el resto.

Сергей Петров RU
★ 4 · July 21, 2026

Полезно, но местами суховато подано.

Emma Klein AT Verified learner
★ 5 · July 21, 2026

Endlich Prompt Injection wirklich verstanden.

Patrícia Correia BR Verified learner
★ 5 · July 17, 2026

Gostei muito de como o curso desmonta um ataque de prompt injection passo a passo até mostrar a correção aplicada no código.

Despina Nikolaidou GR
★ 5 · July 16, 2026

Solid walkthrough of how prompt injection actually works against tool-using agents, not just the surface-level 'ignore previous instructions' examples you see everywhere. I liked that it covered defense layers like input sanitization and permission scoping rather than pretending one trick fixes everything. Definitely changed how I think about giving an agent access to email or file systems.

최시우 KR Verified learner
★ 5 · July 13, 2026

프롬프트 인젝션을 직접 막아보고 에이전트 동작을 샌드박싱하는 부분이 정말 실무에 바로 쓸 만했어요.

Olivia Morales UY
★ 5 · July 4, 2026

Muy claro y directo, excelente.

Eko Prasetyo ID Verified learner
★ 5 · July 1, 2026

Kursus ini benar-benar membuka mata saya soal cara kerja prompt injection dan kenapa agen AI bisa dimanipulasi tanpa disadari penggunanya. Materinya disusun rapi dari konsep dasar sampai contoh serangan nyata, jadi gampang diikuti walau saya bukan orang security. Sekarang saya jauh lebih hati-hati saat merancang guardrail untuk aplikasi LLM di kantor.

Sofia Lopez US Verified learner
★ 5 · July 1, 2026

The module on sandboxing tool calls alone was worth going through the whole course slowly and taking notes.

Agus Wijaya ID
★ 5 · July 1, 2026

Baru dua bab masuk saya udah paham kenapa agen AI saya kemarin gampang dibobol lewat input yang aneh-aneh. Penjelasan soal sandboxing dan validasi input dikasih contoh kode yang bisa langsung dicoba, bukan cuma teori. Worth banget buat siapa saja yang lagi bikin produk berbasis LLM.

মফিজুল হক BD Verified learner
★ 4 · June 25, 2026

প্রম্পট ইনজেকশন কীভাবে কাজ করে সেটা উদাহরণ দিয়ে খুব ভালোভাবে বোঝানো হয়েছে, তবে কিছু অংশ আরেকটু ধীরে ব্যাখ্যা করলে ভালো হতো।

Nathan Lefevre FR
★ 5 · June 24, 2026

Enfin je comprends l'injection de prompt.

강지우 KR
★ 5 · June 13, 2026

프롬프트 인젝션이 실제로 어떻게 먹히는지 예제로 보여줘서 막연했던 개념이 확 정리됐어요.

Thiago Lopes BR
★ 5 · June 12, 2026

Explicações claras sobre prompt injection.

Martina Castillo UY Verified learner
★ 4 · June 11, 2026

Explica muy bien los ataques de inyección de prompts, aunque algunos ejemplos de código ya están un poco desactualizados.

David Tremblay CA Verified learner
★ 5 · June 3, 2026

I went into this course thinking I already understood prompt injection pretty well, and it humbled me fast. The instructor breaks down real attack patterns against LLM apps step by step, then walks through concrete mitigations instead of just waving hands at 'be careful with user input.' What stood out most was the section on tool-calling agents getting tricked into leaking data through indirect injection hidden in documents or web pages, something I had genuinely never considered before. The pacing is steady enough that you can pause and actually test the examples yourself rather than just watching. By the end I had a checklist I've already started applying to a chatbot we're shipping at work. If you're building anything that lets a model call tools or read external content, this is time well spent.

Gabriel Rocha BR
★ 5 · June 1, 2026

Depois desse curso passei a revisar todo agente que construo pensando em quem vai tentar manipular o prompt dele.

Ivana Malá CZ
★ 5 · May 31, 2026

Finally understand prompt injection properly.

Hoàng Văn Tuấn VN Verified learner
★ 4 · May 30, 2026

Nội dung hay nhưng hơi nhanh.

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