Integration
Secure Azure OpenAI with policy, DLP, and audit in front of the model.
Teams use Azure OpenAI for enterprise copilots, knowledge assistants, regulated workflow automation, internal productivity tools, and approved application teams. PromptWall adds a secure control layer around those workflows so security teams can inspect prompts, mask regulated records, customer data, internal knowledge base excerpts, protected documents, and operational context, and record governance decisions before model traffic leaves the organization.
Traffic
Gateway aligned
Apply controls before prompts reach external model providers.
Data
DLP aware
Detect sensitive prompts, regulated data, and document leakage risk.
Control
Policy first
Map every AI interaction to allow, flag, mask, or block decisions.
Evidence
Audit ready
Keep explainable records for security, risk, and compliance reviews.
Provider risk
Azure OpenAI security is a content problem, not only an API problem.
Authentication, network controls, and provider configuration matter, but they do not answer the most important AI security question: what is inside the prompt, why is it being sent, and what should happen before it reaches the provider?
PromptWall connects centralized policy, audit evidence, data masking, and gateway alignment around Azure OpenAI traffic. That makes provider usage part of the same AI governance platform story as browser AI tools, internal copilots, and secure AI applications.
Prompt firewall
Prompt inspection
Detect prompt injection, unsafe instructions, and suspicious AI requests before dispatch.
Read more
AI DLP
Data loss prevention
Mask regulated records, customer data, internal knowledge base excerpts, protected documents, and operational context before provider calls are completed.
Read more
Gateway
Gateway architecture
Centralize provider traffic, policy decisions, and audit-ready enforcement.
Read more
Deployment story
Give platform teams flexibility without losing security consistency.
Enterprises rarely stay with one model path forever. They add providers, switch models, route different workloads, and tune application behavior over time. PromptWall keeps the security policy stable as Azure OpenAI usage expands or changes.
If your roadmap includes retrieval workflows, pair this integration with secure RAG pipeline guidance.
Buyer outcome
Turn provider adoption into an auditable enterprise control.
PromptWall helps security teams show which prompts were inspected, which sensitive entities were detected, what was masked or blocked, and which provider route was used. That evidence is what turns provider experimentation into a governed rollout.
Use case
AI Security for SaaS
Secure customer-facing AI features and internal copilots.
Read more
Comparison
AI Security Tools Comparison
Compare PromptWall against point tools and generic filters.
Read more
Architecture
Enterprise AI Security Architecture
Plan a platform-level architecture for AI governance.
Read more
Review your Azure OpenAI security path
Map prompts, sensitive data, provider routes, and audit requirements into a PromptWall rollout plan.
Frequently asked questions
Does PromptWall replace Azure OpenAI?+
No. PromptWall is not a model provider replacement. It is a security and governance layer that helps enterprises inspect, mask, route, and audit AI usage around approved providers.
What does PromptWall inspect?+
PromptWall can inspect prompt content, sensitive entities, policy signals, prompt injection patterns, and gateway metadata depending on the deployment path.
Can this support multi-provider AI strategy?+
Yes. PromptWall is designed to support a multi-provider strategy by keeping policy, DLP, and audit controls consistent as model routes change.