Senior AI Security Engineer & Co-founder, aisecurity.llc
Risk-informed security strategy and operating-model guidance grounded in product and enterprise experience.
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
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$25K – $50K
Public-safe profile; commercial scope and rates are set per engagement.
Service mapping
AI Security Operating Model
Supports risk-informed AI and cyber security strategy decisions for leadership teams.
Request quote →Tim Kerimbekov's public profile reflects a blend of cyber risk leadership and product management experience. He focuses on helping teams simplify complex security decisions, align stakeholders, and build practical pathways from governance intent to implementation.
Book a short intro to map your AI security challenge to the right engagement path.
