Full Engagement Simulations
End-to-end red team engagement simulations that replicate real-world AI security assessments, from scoping through report delivery.
About These Simulations
These simulations replicate real-world AI red team engagements. Each one provides a complete scenario including a target application description, scope boundaries, timeline constraints, and expected deliverables. You will work through the full engagement lifecycle.
Simulation Structure
Each simulation follows this workflow:
Scoping & Authorization
Review the engagement scope, rules of engagement, and authorized testing boundaries. Identify what is in-scope and what is off-limits.
Reconnaissance
Map the target application's architecture, identify AI components, and catalog potential attack surfaces.
Testing & Exploitation
Execute systematic attacks against identified surfaces. Document all findings with evidence.
Analysis & Reporting
Synthesize findings into a professional red team report with severity ratings and remediation recommendations.
Available Simulations
| Simulation | Target Type | Difficulty | Duration |
|---|---|---|---|
| Customer Chatbot | Customer service bot | Advanced | 4 hours |
| Enterprise RAG | RAG-powered knowledge base | Advanced | 4 hours |
| Agentic Workflow | Multi-tool AI agent | Expert | 5 hours |
| Multimodal App | Vision + text application | Advanced | 4 hours |
| Code Assistant | AI coding assistant | Advanced | 4 hours |
| Healthcare AI | Clinical decision support | Expert | 5 hours |
Related Topics
- Red Team Operations -- Operational frameworks for engagements
- Report Writing -- Writing effective red team reports
- Planning & Scoping -- Engagement planning fundamentals
What distinguishes a full engagement simulation from an isolated lab exercise?