ConsultingWorkbench-backed AI security engagements — map, attack, defend, and prove your AI systems.
Scope a Review
Cyber Risk, Data Protection & Product Strategy Advisor
Risk translation, governance, and security tool guidance grounded in product and enterprise experience.
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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.
Public-safe profile; commercial scope and rates are set per engagement.
Service mapping
AI Security Operating Model
Translates cyber risk, data protection, and tool governance into inventories, controls, ownership, evidence, and operating rhythm.
Request quote →Tim Kerimbekov's public profile reflects a blend of cyber risk leadership, product management, and data-protection work. He focuses on helping teams simplify complex security decisions, align stakeholders, and build practical pathways from governance intent to implementation. His background includes Verizon leadership in data protection, security technology enablement, and security risk management, where he helped shape cyber-tool governance, security roadmaps, training content, vendor governance practices, and product-security operating models. Earlier work at kloudkey, go90, and related product and technical roles adds hands-on exposure to identity, federation, app security basics, vulnerable-system analysis, coaching, and customer-facing solution design. That mix makes him especially useful where governance has to become ownership, evidence, architecture decisions, and trainable operating habits.
Book a short intro to map your AI security challenge to the right engagement path.
