Stopping GenAI Data Leakage Before It Starts
The fastest-growing data-loss channel in most companies isn't a hacked database — it's an employee pasting a customer record into a public chatbot to "just summarize this real quick." Policy alone doesn't stop it; you need controls at the edge.
Know where GenAI is already used
Shadow AI usage is already happening — browser extensions, personal accounts on managed devices, unsanctioned API keys in scripts. You can't govern what you haven't discovered first.
Control the edge, not just the policy
A written policy doesn't stop a paste. CASB and browser-level DLP that inspects outbound traffic to AI endpoints catches it before it leaves the network.
- CASB rules scoped to known GenAI domains and APIs
- Regex + classifier DLP for PII, secrets and source code in outbound requests
- Block personal-tier accounts on managed devices, allow enterprise-tier with data controls
Give people a sanctioned option
Banning GenAI outright just pushes usage underground. Stand up an enterprise-tier tool with a zero-retention agreement and your DLP already pointed at it, and adoption of the sanctioned path goes up fast.
Watch the agent and plugin layer
Browser copilots and IDE assistants read whatever is on screen or in the repo. Scope their permissions and treat them as a new data-egress path, not a productivity footnote.
Tools mentioned
GenAI leakage is a DLP problem wearing a new hat. Discover shadow usage, control the edge, and give employees a sanctioned path — in that order.