ConsultingWorkbench-backed AI security engagements — map, attack, defend, and prove your AI systems.
Scope a Review
Red Team & Data Systems
Backend engineering and adversarial data modeling.
Service tracks: choose the right path
| Decision pressure | Recommended engagement | Track | Duration | Primary output | |
|---|---|---|---|---|---|
| Launching or reviewing an AI feature | AI App Threat Modeling Sprint | Rapid Assessment | 2–4 weeks | Threat model, risk map, control backlog | View details |
| RAG, retrieval, or knowledge system risk | RAG Security Design Review | Rapid Assessment | 2–5 weeks | RAG threat model, controls, 7 implementation artifacts | View details |
| Agents, tools, delegated action, or workflows | Agent & Tool-Use Control Plane Review | Architecture Review | 3–6 weeks | Control plane review, authZ model, 8 artifacts | View details |
| Prompt injection, RAG abuse, or adversarial validation | Prompt Injection & RAG Red Team | Red Team | 3–6 weeks | Attack findings, reproductions, remediation plan | View details |
| Governance, evidence, or executive pressure | Security Governance Program Advisory | Program Advisory | Monthly | Operating cadence, evidence plan | View details |
| Model, data, supply chain, or regression concerns | Specialized Review | Specialized | 2–8 weeks | Focused risk review & artifacts for your risk | View details |
Expertise buckets
Rate surface
Rates set per engagement — contact for scope and quote.
Service mapping
SaaS Product Security Review
Supports Red Team data modeling, graph-based attack surface analysis, and backend tooling requirements.
Request quote →Alex is a CS student at Athens Technical University, Class of 2027. He is deeply focused on the intersection of backend scalability and adversarial security. His work includes developing automated Red Team tooling and architecting graph-based database structures for complex threat modeling.
Book a short intro to map your AI security challenge to the right engagement path.
