ENTERPRISE AI GATEWAY FOR A GLOBAL IDENTITY-SECURITY PROVIDER
Built for a global identity-security provider
A centralized AI gateway replaced unmanaged browser-based AI use with one governed Azure control layer. Every model call now passes through policy enforcement, routing and audit logging before a response is returned.
By Yashwant Daniel · Solvstrat
Key
Facts
- Sector
- Identity & security
- Built
- Governed AI operating layer on Azure
- Stack
- Azure OpenAI · API Management · Entra ID · Key Vault
- Constraint
- No direct model access; every request auditable
- Outcome
- One control point for AI across SOC, advisory, sales and operations
Challenges
Developers and analysts were reaching public AI tools directly, copying generated code into local environments and pushing changes without central review. The business wanted AI velocity without unmanaged data exposure, inconsistent model use or an audit gap.
Ungoverned AI access
Individual teams connected to different public models with no shared policy, logging or data-handling rules.
No audit trail
Prompts, responses and generated code left no central record, so security and compliance could not reconstruct what happened.
Inconsistent model quality
Each team chose its own model and prompt patterns, producing uneven output and duplicated integration work.
Constraints
All AI traffic must remain inside client-approved Azure hosting.
Enterprise identity and access must be enforced through existing SSO.
No application may call a model provider directly.
Sensitive prompts must be screened and logged before a model sees them.
The platform must support multiple business functions without separate builds.
Reference
Architecture
Interface layer
A small number of approved entry points — chat, IDE integration and internal API — so teams do not need direct provider access. Each entry point authenticates through the corporate identity provider.
Entra ID · Internal API · Chat UI
AI gateway layer
The control point. It authenticates the caller, applies rate limits and policy, routes to the correct model and records the request. Nothing reaches a model without passing through it.
Azure API Management · Policy engine
Orchestration layer
Prompt templates, retrieval over approved knowledge and tool calls are managed here. This keeps prompt logic consistent and prevents each team from rebuilding the same integration.
Prompt templates · Retrieval · Tool calling
Model layer
Approved models sit behind the gateway, selected by task and policy rather than by individual preference. Adding or swapping a model does not change the calling application.
Azure OpenAI · Approved providers
Governance layer
Central logging, sensitive-data screening, spend tracking and audit export. This is the evidence layer security and compliance use to review AI activity.
Azure Monitor · Key Vault · Audit store
Data
Flow
- 1
A user or application authenticates through corporate SSO.
- 2
The gateway applies rate limits and screens the prompt for sensitive data.
- 3
Policy decides whether the request is allowed, blocked or redacted.
- 4
The orchestration layer attaches the approved prompt template and retrieval context.
- 5
The gateway routes the request to the selected model and records prompt, response and metadata.
- 6
The response returns to the caller with an audit record already written.
Delivery
Foundation
Identity, gateway, model connections and logging baseline.
Core framework
Policy enforcement, routing, prompt templates and cost tracking.
Use cases
SOC, advisory, reporting and internal operations onboarded to the gateway.
Optimization
Model selection, latency tuning and governance reporting.
Hard
Problems
Governance without slowing developers
Problem: Heavy approval steps would push teams back to public tools, defeating the purpose.
Resolution: Policy is evaluated in the request path, not through a separate ticket process. Approved patterns pass automatically; only exceptions are reviewed.
Multi-model routing
Problem: Different tasks need different models, but applications should not hard-code a provider.
Resolution: The gateway exposes one interface and selects the model from task type and policy, so providers can change without application changes.
Audit versus privacy
Problem: Full prompt logging is useful for audit but increases exposure of sensitive content.
Resolution: Sensitive fields are screened and redacted at the gateway, and access to logs is role-restricted and itself audited.
Results
One governed entry point
All business functions — SOC, advisory, reporting, sales, marketing, customer success and internal operations — use the same controlled layer.
Auditable AI use
Every prompt, response, policy decision and model selection is recorded and attributable.
Reusable foundation
New AI use cases plug into the gateway rather than rebuilding authentication, logging and data controls.
Technology
Used
Azure
Azure OpenAI
Azure API Management
Microsoft Entra ID
Azure Monitor
Azure Key Vault
Lessons
A gateway is a product, not a proxy — teams adopt it when it is faster than going around it.
Policy is only credible when it is enforced in the request path and evidenced in the log.
Start with two or three real use cases; the governance model improves faster than the architecture.
CLIENT SUCCESS STORIES
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FAQ
Frequently asked questions
An enterprise AI gateway is a single control layer that sits between applications and AI models. It authenticates callers, enforces policy, routes requests to the right model and records every interaction for audit. Applications call the gateway instead of providers directly.
Direct access creates unmanaged data exposure, inconsistent model quality and no audit trail. A gateway keeps the same velocity while giving security and compliance a single place to enforce policy and reconstruct activity.
Yes. The gateway exposes one interface and selects a model from task type and policy. Providers can be added or replaced without changing the applications that call the gateway.
Prompts are screened and redacted before they reach a model, secrets are held in a managed vault, and access to logs is role-restricted and audited.
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