AI Supply Chain Risk Assessment
Your AI vendors may be your weakest link.
Review of external AI services (cloud LLMs, embedded models, analytics) for security, compliance and resilience. Vendor portfolio assessment per ISO 42001.
Most organizations rely on external AI services — from cloud LLMs (OpenAI, Anthropic, Google) through embedded models in SaaS to analytics and fraud detection tools. Each of these vendors processes your data and influences your business decisions.
We review your AI vendor portfolio for: data security, EU AI Act and ISO 42001 compliance, model transparency, SLA and business continuity planning, and vendor lock-in risk.
Our approach combines third-party risk management methodology with AI-specific threat knowledge — from data leakage through prompt injection to model poisoning in the supply chain.
Benefits
- Risk visibility — complete map of AI vendors with criticality assessment
- ISO 42001 compliance — assessment per AI supply chain clauses
- Concrete recommendations — what to negotiate, change, or phase out
- Shadow AI reduction — identification of unauthorized external AI usage
- Reusable framework — questionnaire and scoring for repeatable assessment
For Whom
- Companies using cloud AI — OpenAI API, Azure AI, Google Vertex, AWS Bedrock
- Organizations with embedded AI — SaaS with built-in ML models
- Regulated sectors — where AI-processed data is subject to compliance
What We Deliver
- AI vendor inventory (known and shadow)
- AI vendor security assessment questionnaire
- Risk assessment report per vendor (scoring)
- Recommendations: contractual, technical, organizational
- Framework for repeatable assessment (annual cycle)
Pricing: from €10,000 per portfolio review | Book an assessment — let’s start with a free call.