Integration
OpenAI Security with prompt firewall, AI DLP, and audit controls.
Teams use OpenAI for customer support automation, internal copilots, RAG apps, summarization, and product AI features. PromptWall adds a security layer around that workflow so sensitive data, prompt injection, and governance gaps are addressed before AI traffic becomes unmanaged.
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.
Problem definition
OpenAI security is about prompt content, not only account configuration.
Enterprise teams can configure access and identity correctly but still expose customer data, internal documents, credentials, product context, and regulated records through prompts. PromptWall focuses on what is inside the AI request and what should happen before it reaches the provider.
Risks
Provider adoption creates a new outbound data path.
The risk in OpenAI workflows is not the provider alone. The risk is uninspected prompt content, copied documents, hidden instructions, and missing audit evidence across customer support automation, internal copilots, RAG apps, summarization, and product AI features.
Prompt firewall
Prompt injection
Inspect unsafe instructions and suspicious prompt intent before dispatch.
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AI DLP
Sensitive data
Detect and mask customer data, internal documents, credentials, product context, and regulated records.
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Audit
Provider audit
Record what was allowed, masked, flagged, or blocked.
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PromptWall solution
Add one policy layer around provider usage.
PromptWall evaluates prompts before model dispatch, applies tenant policy, masks sensitive content where appropriate, blocks high-risk requests, and keeps evidence for governance teams.
Technical explanation
Route provider traffic through an LLM security layer.
PromptWall connects provider usage to secure LLM gateway controls and can cross-link to the deeper implementation path for this provider: OpenAI Security.
Use case
A governed OpenAI rollout keeps teams productive and auditable.
A team using OpenAI for customer support automation, internal copilots, RAG apps, summarization, and product AI features can route sensitive workflows through PromptWall, protect customer data, internal documents, credentials, product context, and regulated records, and produce evidence for security review without blocking all usage.
Review your OpenAI security path
Map your provider workflows, prompt risks, sensitive data categories, and audit requirements to PromptWall controls.
Frequently asked questions
Does PromptWall replace OpenAI?+
No. PromptWall is a control layer around AI usage. It helps inspect, mask, route, and audit AI workflows while teams continue using approved providers and platforms.
What does PromptWall inspect?+
PromptWall can inspect prompt content, sensitive entities, prompt injection signals, provider metadata, and policy outcomes depending on deployment path.