A micro-SaaS idea for checking AI prompts before they leak data
Companies such as financial institutions face a real risk when employees paste client data, internal financial details, or PII into tools like Copilot and ChatGPT. often depends on people remembering not to do that. Standard DLP tools can catch fixed patterns such as credit card numbers, but they are less suited to judging meaning and .
GaaS Guard is a prototype built as a lightweight . It intercepts the prompt before a person submits it to an LLM interface. It checks the text against a local or cached company policy, then redacts or blocks high-risk content on the device.
The goal is to stop sensitive data before it reaches an outside LLM server. The main product question is whether this should live in the browser or in an API gateway.
Key points
- The risk is employees pasting sensitive company or client data into ChatGPT or Copilot.
- Standard DLP tools may miss risks that depend on the meaning of the text, not just fixed patterns.
- GaaS Guard is being tested as a that checks prompts before submission.
- The prototype aims to redact or block risky content locally before it reaches an outside LLM server.
- A key product decision is control versus an API gateway.