What Is Your Backend Really Telling AI Models?
Your teams are using external AI APIs from your production servers and cloud infrastructure, but you have no visibility into what they are sending. Qpoint illuminates every connection from your backend to AI services, so you can innovate safely.
Proprietary Data is Leaking from Your Production Systems
When developers use AI APIs in backend services or CI/CD pipelines, they can inadvertently send sensitive information like proprietary source code and customer PII to public models without your knowledge.
Key Pains
Leaked Source Code
Backend services can send proprietary code snippets to AI models, risking your IP.
Exposed Customer Data
Customer PII from your production databases can be sent as context to AI services, violating privacy.
Zero Visibility
Encrypted TLS traffic from your servers to AI vendors is a black box, making it impossible to audit.
Visibility for Safe AI Adoption in Your Infrastructure
See Every AI Connection. Classify Every Payload.
Qpoint gives you the ground truth needed to embrace AI confidently. We show you exactly what data is being sent from your backend infrastructure to any AI service, before it's encrypted.
Key Capabilities
Identify Every AI Connection
Get a complete, real-time inventory of every backend process connecting to external AI APIs.
Classify Transmitted Data
See the exact contents of the payloads, with automatic classification of source code, PII, and credentials.
Build Safe Usage Policies
Use definitive evidence to create and enforce safe AI usage guidelines for your teams.
Link to the Source
Trace every AI-bound request back to the specific process, container, and host in your production environment.
We enabled our developers to use AI safely. Qpoint showed us which backend jobs were sending customer PII to an LLM. We can now prove that our AI integrations are secure and compliant.