Luca BertonAI vendors often arrive with impressive demos and weak control evidence. A C5 readiness assessment helps buyers separate product capability from operational assurance.
Assessment Areas
- Service scope: what is hosted, processed, stored, and operated by the vendor
- Identity: SSO, MFA, role model, privileged access, lifecycle integration
- Data handling: prompts, outputs, embeddings, logs, training use, retention, deletion
- Providers: cloud, model, vector database, observability, subprocessors
- Security operations: vulnerability management, monitoring, incident response, backups
- Evidence: assurance reports, policies, access reviews, test results, incident records
Red Flags
- No clear list of model and infrastructure providers
- No deletion story for embeddings or traces
- Shared administrator accounts
- Opaque prompt and output retention
- No customer-specific audit logs
- Security answers that depend on "the model should not do that"
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Kubernetes Recipes
A practical guide for container orchestration and deployment by Grzegorz Stencel & Luca Berton (Apress).
Watch on Skillshare →Bottom Line
A C5 readiness assessment for AI vendors should focus on evidence quality. The vendor does not need a perfect answer to every question, but weak ownership, weak logs, and weak data lifecycle controls are procurement risks.
C5
AI vendor assessment
vendor readiness
GenAI procurement
cloud compliance
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