Build and run AI-assisted development workflows without exposing your code, systems, or secrets.
AI coding tools now write code, execute commands, and interact with local environments. That speed comes with real risk, such as uncontrolled execution, exposed secrets, and unverified tool integrations that can impact systems beyond the codebase.
This training focuses on securing that workflow. It covers how to control agent behavior, isolate execution, enforce guardrails, and validate every action inside the development loop—so AI can be used safely without introducing new attack paths.
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AI-assisted workflows run with defined controls instead of unrestricted execution
Local environments stay protected from unintended or unsafe agent actions
Security checks are enforced automatically before code is executed or committed
Teams adopt AI in development without introducing new security gaps
Secure Agent Configuration: Control permissions, restrict execution scope, and prevent excessive autonomy
Secrets Protection Workflows: Ensure credentials and sensitive data never enter agent context or logs
Sandboxed Execution Environments: Isolate agent actions using containerized and OS-level controls
Automated Guardrails: Enforce security checks using hooks before execution and code changes
Secure Tool Integrations (MCP): Validate and control external tools to prevent misuse and supply chain risks
Permission and execution controls: Limit what the agent can access and execute within local environments
Sandboxing and isolation: Contain agent activity to prevent impact on host systems
Hooks and policy enforcement: Intercept and validate actions before execution or commit
Secure tool integrations: Control how agents interact with external tools and services
Experience with software development and working in CLI-based environments
Familiarity with application security fundamentals
Basic understanding of DevSecOps practices and modern development workflows
Familiarity with containerization (e.g., Docker) is helpful
A laptop with a browser (lab environment provided)
Comfort working with code, scripts, and command-line tools
Willingness to test, break, and secure real workflows
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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