Instead of running security tasks by hand, you build agents that handle threat modeling, testing, and audits continuously across your systems.
Threat modeling takes time, testing creates noise, and audits depend on manual effort that doesn’t keep up with how fast systems change. This training focuses on a different approach: instead of running these tasks by hand, you build agents that can perform them consistently across your environment.
Over two days, you’ll build and connect agents that handle threat modeling, code analysis, runtime testing, and infrastructure audits. You’ll work with real inputs like code, architecture docs, and cloud configurations, and learn how to make these systems reliable using memory, tool integrations, and grounded data.
Security workflows run consistently across threat modeling, testing, and audits
Manual review effort drops, so teams spend less time on repetitive tasks
Coverage expands across services and infrastructure without adding headcount
Teams focus on high-impact risks instead of sorting through low-value findings
Threat Modeling Agents: Generate threat models from code and architecture so design risks are identified early
SAST Agents: Analyze code and trace real data flows to find exploitable vulnerabilities with context
DAST Agents: Discover attack surfaces and execute runtime tests to validate real-world security
Kubernetes Security Agents: Inspect clusters and workloads to identify misconfigurations and exposure risks
Cloud Security Agents: Audit cloud infrastructure and IAM policies to catch risky configurations at scale
Agents with reasoning and memory: Handle multi-step security tasks and improve over time based on past analysis
RAG for context-aware outputs: Ground findings in your code, architecture, and data instead of generic results
MCP for real tool integration: Connect agents directly to security tools, APIs, and infrastructure for execution
Multi-agent workflows: Coordinate specialized agents to handle complex security processes across the lifecycle
Experience with application security activities such as threat modeling or penetration testing
Working knowledge of Python and ability to read and modify code
Familiarity with DevSecOps concepts and modern application architectures
Basic understanding of LLMs or agent-based systems (helpful, not required)
A laptop ready for hands-on labs and development work
Comfort working with code, APIs, and command-line tools
Willingness to build, test, and iterate through real security 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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