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CIO AI Review

An architecture-and-operations review for technology executives deciding how AI should enter the enterprise stack, which controls must follow it, and where vendor demonstrations leave material questions unanswered.

Authority-to-use-case crosswalk

OWASP Top 10 for LLM Applications 2025 and enterprise ai platform architecture

A decision-specific crosswalk between OWASP Top 10 for LLM Applications 2025 and enterprise ai platform architecture for AI for CIOs, with authority class, evidence requirements, human ownership, and interpretation limits kept visible.

Direct answer

Translate common risk categories into application-specific abuse cases and tests.

Start with the authority class

LLM application security risks

Before applying the record, determine whether it is binding law, regulator guidance, a technical or management standard, a professional code, an industry framework, or a voluntary risk resource. Preserve issuer, jurisdiction, version, status, effective date, intended audience, and the exact passage connected to the decision. Similar language does not make two authorities interchangeable.

Define the executive use case

The CIO can standardize model access, retrieval, evaluation, observability, and policy services without forcing every workload onto one model or vendor. The target architecture should show the system of record, identity path, failure behavior, and exit path for each use case.

The crosswalk should name the affected population, decision or action, source data, model or product, provider and customer roles, human judgment, possible harm, and the evidence another reviewer would need. Authority language should be connected to this operating record—not attached to a generic AI inventory entry.

Map requirements to operating evidence

Review dimensionEvidence to retainExecutive question
Scope and applicabilityEntity, jurisdiction, population, system, purpose, version, and interpretation ownerWhy is this authority relevant to this exact workflow?
Data and inputSource, rights, quality, lineage, permitted use, retention, and affected groupsWhich evidence makes the output reviewable?
Human authorityReview, approval, challenge, override, escalation, and stop rightsWhich judgment remains with an accountable person?
Control operationConfigured rule, test result, exception, user action, and monitoring recordHow do we know the control works here?
Change and incidentTrigger, impact assessment, correction, notification, and reapprovalWhat reopens the decision?

Question-by-question application

1. Which services are common and which remain workload-specific?

Read this question through the scope of OWASP Top 10 for LLM Applications 2025. Translate common risk categories into application-specific abuse cases and tests. Record the exact source passage, the interpretation owner, the affected enterprise ai platform architecture step, and the evidence that would show the decision is operating as intended. If the authority does not answer the question directly, preserve that gap instead of filling it with a provider claim or an editorial assumption.

The OWASP GenAI Security Project boundary matters here: The authority record does not certify a product, provider, program, or organization and does not determine buyer-specific applicability. For CIOs, the answer should state what changes in responsibility, information, review, approval, monitoring, or communication. It should also name what remains outside the authority's scope and which legal, risk, privacy, security, financial, employment, marketing, coaching, or technical specialist must confirm the conclusion.

2. How can a team change a model without rewriting the application?

Read this question through the scope of OWASP Top 10 for LLM Applications 2025. Translate common risk categories into application-specific abuse cases and tests. Record the exact source passage, the interpretation owner, the affected enterprise ai platform architecture step, and the evidence that would show the decision is operating as intended. If the authority does not answer the question directly, preserve that gap instead of filling it with a provider claim or an editorial assumption.

The OWASP GenAI Security Project boundary matters here: The authority record does not certify a product, provider, program, or organization and does not determine buyer-specific applicability. For CIOs, the answer should state what changes in responsibility, information, review, approval, monitoring, or communication. It should also name what remains outside the authority's scope and which legal, risk, privacy, security, financial, employment, marketing, coaching, or technical specialist must confirm the conclusion.

3. Where are prompts, retrieval indexes, evaluations, and logs versioned?

Read this question through the scope of OWASP Top 10 for LLM Applications 2025. Translate common risk categories into application-specific abuse cases and tests. Record the exact source passage, the interpretation owner, the affected enterprise ai platform architecture step, and the evidence that would show the decision is operating as intended. If the authority does not answer the question directly, preserve that gap instead of filling it with a provider claim or an editorial assumption.

The OWASP GenAI Security Project boundary matters here: The authority record does not certify a product, provider, program, or organization and does not determine buyer-specific applicability. For CIOs, the answer should state what changes in responsibility, information, review, approval, monitoring, or communication. It should also name what remains outside the authority's scope and which legal, risk, privacy, security, financial, employment, marketing, coaching, or technical specialist must confirm the conclusion.

Use-case questions

  1. Which services are common and which remain workload-specific?
  2. How can a team change a model without rewriting the application?
  3. Where are prompts, retrieval indexes, evaluations, and logs versioned?

Evidence needs

  • current official authority source
  • configured workflow evidence
  • representative normal and exception results
  • named interpretation and decision owners

Risks of a superficial mapping

  • platform lock-in
  • shared-service blast radius
  • architecture that exists only in presentation diagrams
  • a framework name used as a substitute for scoped applicability
  • provider documentation treated as proof of organizational conformity
  • a control described in design but not tested in operation
  • a source revision that does not trigger reassessment

A useful mapping is deliberately modest. It identifies the decision, operating obligation, responsible person, evidence, unresolved question, and next review trigger. It does not turn a publication summary into legal advice or a product feature into an assurance conclusion.

Review record to retain

  1. Capture the current official source and exact relevant passage.
  2. Record who interpreted it and which professional owner must confirm applicability.
  3. Map the interpretation to the actual enterprise ai platform architecture workflow and affected population.
  4. Identify preventive, detective, corrective, and governance controls.
  5. Test at least one normal case, difficult exception, override, and source change.
  6. Preserve the conclusion, dissent, residual risk, evidence, and date for re-review.

Framework-application lens

For enterprise ai platform architecture, map the authority's concepts to named owners, decisions, evidence, normal operations, exceptions, monitoring, incidents, and review triggers. Preserve which parts are adopted, adapted, deferred, or out of scope; citing a framework name does not show that its practices operate.

Use the source as a common risk language, then test the actual workflow. The record should distinguish voluntary guidance, internal policy, contractual duties, professional judgment, and binding law so that one source is not asked to answer a question outside its authority class.

Interpretation boundary

The authority record does not certify a product, provider, program, or organization and does not determine buyer-specific applicability.

The publication supports research and executive decision preparation. It does not provide legal, financial, accounting, employment, clinical, cybersecurity, investment, procurement, or implementation advice.

Official authority source: OWASP GenAI Security Project