AI DLP guide
ChatGPT data security issues enterprises need to control.
ChatGPT and similar AI tools create business value, but they also introduce data security issues when employees paste customer data, internal records, credentials, or protected documents into prompts. PromptWall addresses these risks through AI DLP and prompt-layer governance.
Data
DLP aware
Detect sensitive prompts, regulated data, and document leakage risk.
Evidence
Audit ready
Keep explainable records for security, risk, and compliance reviews.
Control
Policy first
Map every AI interaction to allow, flag, mask, or block decisions.
The risk is not ChatGPT alone. It is ungoverned prompt behavior.
Enterprise data security issues appear when AI usage grows faster than policy enforcement. Users may paste regulated records, confidential notes, code fragments, customer context, or internal documents without understanding where that data goes or whether it should be sent.
Prompt risk
Sensitive prompts
Detect data that traditional DLP may miss because it appears inside natural language prompts.
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Workflow
DLP for Copilot and ChatGPT
Govern employee AI workflows without relying on policy documents alone.
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Adoption
Shadow AI detection
Identify and govern AI usage that happens outside approved rollout paths.
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What enterprise controls should do
Controls should inspect the prompt before it leaves the user workflow, detect sensitive entities and document leakage risk, apply a policy action, and create an audit record. Blocking everything is rarely sustainable, so masking and flagging are critical for safe adoption.
Control ChatGPT data security risk with PromptWall
See how PromptWall detects, masks, flags, and audits sensitive AI prompts before provider dispatch.
Frequently asked questions
What are common ChatGPT data security issues?+
Common issues include employees pasting customer data, confidential documents, credentials, regulated records, or proprietary business context into AI prompts without inspection or audit.
Can AI DLP help without banning ChatGPT?+
Yes. AI DLP can mask, flag, or block sensitive content based on policy, which supports governed adoption instead of blanket bans.