Complete Governance for Azure OpenAI Deployments

Q: "Does Raidu replace Azure OpenAI's content filtering?"

"No. Raidu works alongside Azure's built in content filtering. Azure's filters handle harmful content categories at the model level. Raidu adds organizational governance on top: PII masking, custom policy enforcement, role based access controls, and cryptographic compliance proof. They are complementary layers that together provide comprehensive AI governance."

Q: "How does Raidu integrate with Azure OpenAI Service?"

"Raidu integrates at the API layer, intercepting calls to Azure OpenAI endpoints. This can be configured through Azure API Management, SDK integration, or network level routing depending on your architecture. The integration works with all Azure OpenAI models and deployment types without requiring changes to your application code."

Q: "Can Raidu govern Azure OpenAI usage across multiple Azure subscriptions?"

"Yes. Raidu provides centralized governance regardless of how your Azure OpenAI deployments are organized. Multiple subscriptions, resource groups, and regions all feed into a single governance layer. Policies are managed centrally and enforced consistently, while audit trails aggregate into one searchable compliance record."

Q: "We already have Azure's compliance certifications. Why do we need Raidu?"

"Azure's compliance certifications (SOC 2, ISO 27001, HIPAA BAA) cover the infrastructure and platform. They prove that Microsoft operates Azure securely. But regulators also need to know what your organization did with AI on that platform. Raidu provides that organizational layer of accountability: proving which policies you enforced, what data you protected, and how you governed each interaction. Policies say what should happen. Raidu proves what did happen."

Azure's built in content filtering is a starting point, not a finish line. Raidu adds organizational policy enforcement, PII protection, and cryptographic compliance proof to every Azure OpenAI interaction across your enterprise.

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Azure OpenAI

Microsoft's enterprise AI service

Azure OpenAI Service provides enterprise-grade access to OpenAI models including GPT-4, DALL-E, and Whisper within the Microsoft Azure cloud. Organizations use it for applications requiring Microsoft's security, compliance, and regional deployment options.

The Governance Risks

AI adoption without governance creates risk.

Azure Content Filtering Alone Is Not Governance

Azure OpenAI includes basic content filtering for harmful content categories. But content filtering does not cover PII protection, organizational policy enforcement, or regulatory compliance proof. Passing Azure's content filter does not mean an interaction complied with HIPAA, GDPR, or your internal data handling policies.

No Unified Visibility Across Multiple Deployments

Enterprises typically run multiple Azure OpenAI deployments across different subscriptions, resource groups, and regions. Each deployment operates independently, making it difficult to get a consolidated view of AI usage, policy compliance, and risk exposure across the organization.

Proving Compliance Across Azure Regions and Deployments

Regulated industries need to demonstrate governance over every AI interaction, not just infrastructure compliance. Azure provides SOC 2 and ISO certifications for the platform, but proving that your organization governed each specific AI interaction requires a separate accountability layer. Auditors want evidence of what you did, not what Microsoft did.

Uncontrolled Costs and Model Usage Sprawl

Azure OpenAI makes it straightforward for teams to provision GPT-4, GPT-4o, and other models across the organization. Without governance controls, usage can escalate quickly. Teams may deploy expensive models for tasks that cheaper alternatives handle equally well, and cost attribution across departments becomes nearly impossible.

How Raidu Solves This

Purpose-built AI governance that works with your existing tools.

Governance Beyond Azure's Built In Content Filtering

Raidu adds 27 real time guardrails on top of Azure's content filtering. This includes PII detection and masking with 99.2% accuracy, prompt injection blocking, custom policy enforcement, and content controls tailored to your industry. Azure filters harmful content; Raidu enforces your organization's complete governance framework.

Unified Dashboard Across All Azure OpenAI Deployments

Raidu consolidates governance data from every Azure OpenAI deployment into a single view. Whether you run five deployments or fifty across multiple subscriptions and regions, your security and compliance teams see all AI activity, policy enforcement actions, and risk indicators in one place.

Cryptographic Proof for Every Azure OpenAI Interaction

Every API call to Azure OpenAI that passes through Raidu generates a tamper proof audit record. RSA-4096 digital signatures, SHA-256 hash chains, and RFC 3161 timestamps create verifiable evidence that your organization enforced specific policies at specific times. This is the proof layer that sits between Azure's infrastructure compliance and your regulatory obligations.

Cost Controls and Deployment Governance

Raidu lets you set spending limits per team, per deployment, and per model. You can restrict which teams have access to GPT-4 versus GPT-4o Mini based on their use case and data sensitivity requirements. Cost attribution reports show exactly which departments are driving AI spend, making budget conversations straightforward.

SOC 2 Type II (pursuing)

Typically <50ms Added Latency

On-Premise Available

Input + Output Protection

Frequently Asked Questions

Does Raidu replace Azure OpenAI's content filtering?

No. Raidu works alongside Azure's built in content filtering. Azure's filters handle harmful content categories at the model level. Raidu adds organizational governance on top: PII masking, custom policy enforcement, role based access controls, and cryptographic compliance proof. They are complementary layers that together provide comprehensive AI governance.

How does Raidu integrate with Azure OpenAI Service?

Raidu integrates at the API layer, intercepting calls to Azure OpenAI endpoints. This can be configured through Azure API Management, SDK integration, or network level routing depending on your architecture. The integration works with all Azure OpenAI models and deployment types without requiring changes to your application code.

Can Raidu govern Azure OpenAI usage across multiple Azure subscriptions?

Yes. Raidu provides centralized governance regardless of how your Azure OpenAI deployments are organized. Multiple subscriptions, resource groups, and regions all feed into a single governance layer. Policies are managed centrally and enforced consistently, while audit trails aggregate into one searchable compliance record.

We already have Azure's compliance certifications. Why do we need Raidu?

Azure's compliance certifications (SOC 2, ISO 27001, HIPAA BAA) cover the infrastructure and platform. They prove that Microsoft operates Azure securely. But regulators also need to know what your organization did with AI on that platform. Raidu provides that organizational layer of accountability: proving which policies you enforced, what data you protected, and how you governed each interaction. Policies say what should happen. Raidu proves what did happen.

Govern Azure OpenAI with Cryptographic Proof

Add enterprise accountability and compliance proof to every Azure OpenAI deployment across your organization.

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