u/Effective_Guest_4835

our team started rolling out internal ai tools but people keep pasting sensitive data into external llms like chatgpt or claude. we see it in logs but no good way to block or track without breaking workflows. tried a couple dlp solutions but they flag too much noise or miss stuff embedded in saas apps.

management wants ai risk management that gives visibility into prompts data flows and risky patterns. ideally agentless browser based or casb integration that scores risks and alerts without proxy lag. whats actually working for you guys on this. any tools handling genai governance at scale without the usual false positives. real experiences please.

We recently got hit with an unexpected bill from AI tools our employees have been signing up for on their own. Different teams are using different tools, some overlapping, some we had no idea even existed in our org. Finance flagged it and now IT and security are both being asked to fix it but honestly we dont even have a clear pic of what tools are being used, who is using them or what data is going into them!!!!!

The cost issue is just what surfaced it but the deeper problem is we have zero visibility into AI usage across the org. No policies, no controls, nothing.

Has anyone dealt with something similar? How did you get visibility into what AI tools are actually being used across your org? Is there something that sits at the browser level or network level that helps with this??