Classic DLP does not see the prompt well enough
It was not built around prompt-by-prompt AI interactions inside modern browser workflows.
Why Existing Solutions Fail
The tools you already have were not built to govern prompts.
That is the buying trigger. Traditional controls operate too early, too late or in the wrong place. PromptCloak exists because prompt-level AI risk is a different problem.
Positioning
This is not classic DLP. It is AI governance at the point of prompt submission.
Classic DLP
Sees files, endpoints or traffic patterns.
Misses the exact AI interaction
PromptCloak
Inspects the prompt itself before it reaches the external model.
HTTPS inspection is unstable and messy
It adds technical fragility, legal concerns and operational overhead without giving clear prompt-level governance.
AI bans fail in the real world
Employees still use AI because the productivity gain is too strong. Bans create shadow usage, not safety.
[Comparison Graphic]
Classic DLP vs PromptCloak.
Show old controls as broad, indirect and late. Show PromptCloak as precise, pre-send and auditable.
The structural problem
Cloud and SaaS broke the old control model. AI finished the job.
Perimeter logic assumed data moved through channels security teams could mediate centrally. Prompting external AI tools is fast, direct and often personal to the employee workflow.
Old model: control the route
That worked better when traffic, apps and data flow were more centralized.
New reality: control the moment of use
That is where the risk is actually created now.
PromptCloak fits the new reality
It governs the exact interaction that existing tools routinely miss.
If your controls do not see prompts, they do not control AI leakage