Every prompt, plugin, and tool is an attack surface. This training gives you the skills to control them before they become a liability.
AI agents call tools, move data across systems, and make decisions inside your workflows. That creates new attack paths: prompt injection, tool abuse, data leakage, and unintended execution that traditional security controls don’t fully address.
In this hands-on course, you’ll break real agents, map those risks to the OWASP LLM Top 10, and fix them with tested defenses like sandboxing, least privilege, input controls, and secure tool integrations. By the end, you’ll have a structured, repeatable way to secure agent-driven systems.
You use the OWASP LLM Top 10 to structure, prioritize, and communicate risks across agent-driven systems.
Standardize security across development, operations, and cloud environments.
Run security checks continuously across CI/CD pipelines instead of one-off scans.
Catch vulnerable dependencies and misconfigurations before they reach production.
Deploy and manage containers with consistent security controls at scale.
Train your AppSec and DevSecOps teams hands-on, with live labs mapped to real risks.
Build CI/CD pipelines that enforce security controls automatically.
Use DAST, SAST, and SCA in workflows that reduce noise and surface real risk.
Apply threat modeling to prioritize risks using structured approaches like the OWASP Top 10.
Create automation scripts to continuously test and validate application security.
Work through hands-on labs based on real application and infrastructure risks.
Apply security techniques directly in controlled environments.
Use tooling and workflows that mirror production systems.
Test, break, and fix issues without impacting real environments.
Foundational understanding of application security principles and DevSecOps processes.
Familiarity with threat modeling concepts, common vulnerability types (e.g., OWASP Top 10 for Web), and security testing (SAST/DAST/SCA) is beneficial.
Basic knowledge of Python programming or scripting is recommended as labs involve reading/writing simple Python code for AI API/framework interaction.
An eagerness to experiment, a builder's mindset, and an interest in both offensive and defensive security are key.
A laptop with a modern web browser and reliable internet connectivity.
All participants will receive access to a cloud-based lab environment with all required tools, LLMs, and agent frameworks. No special hardware or local software installations are needed.
Our instructor-led training is delivered at leading security conferences, where teams work through real-world scenarios, test modern systems, and apply practical defenses.
The same hands-on approach is used across all our training: focused on real workflows, real risks, and techniques that hold up in production environments.
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Koushik M.
"Exceptional Hands-On Security Learning Platform"
Varunsainadh K.
"Practical Security Training with Real-World Labs"
Gaël Z.
"A new generation platform showing both attacks and remediations"
Nanak S.
"Best resource to learn for appsec and product security"
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