Preventing sensitive data leakage into GenAI tools
The challenge
Employees increasingly paste sensitive data into public GenAI tools and browser-based assistants, creating a fast, invisible new leakage path.
Traditional DLP was not designed for prompts and AI workflows, leaving a growing blind spot for regulated organisations.
The Siberson approach
Classify the data
Veriket labels sensitive data so its movement can be recognised anywhere.
Control AI channels
Verikor DLP inspects web and browser uploads to GenAI tools and applies label-aware policy — allow, warn, mask or block.
Extend toward agents
Siberson's Agentic AI DLP direction targets prompt inspection, AI-response validation and agent-activity monitoring.
Educate in the moment
Warn-and-justify prompts coach users without halting productivity.
Products in this use case
Outcomes
AI leakage path closed
Regulated data blocked from public GenAI tools.
User awareness
In-the-moment coaching reduces risky behaviour.
AI-era readiness
A path from human users today to agent workflows tomorrow.
Compliance & standards
See this use case in your environment.
Request a DemoRelated use cases
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