Data Security and Privacy for AI
AI Usage Guardrails: Keep the Productivity of AI Without the Exposure
Employees already use AI for everyday work — drafting customer replies, summarizing documents, improving sales emails, solving engineering problems, reviewing files. The content they paste or upload may contain customer information, personal data, contract terms, credentials, financial figures or source code. Most organizations end up at one of two extremes. With no controls, customer records and financials go straight into public AI tools and are unrecoverable the moment they leave. With too many controls, blanket bans and manual redaction do not survive normal work pressure, and the same work moves to unmanaged shadow AI with no inventory, approval or audit trail.
Mage Data AI Usage Guardrails protect sensitive company data when employees use public GenAI tools such as ChatGPT, Gemini and Claude. The goal is not to stop AI use — it is to stop sensitive data exposure while people keep the productivity that led them to AI. Sensitive content is detected in prompts and uploaded files and masked before anything is shared externally, and real values are restored on the way back so the answer is usable as-is. Mage Data is deployed inside your own VPC or data centre, so only the protected version of a prompt or file ever reaches the public AI service. It masks, it never blocks.
Key Capabilities
Everything sensitive stays inside your environment. The public AI service only ever receives the protected version of a prompt or file.
AI Usage Guardrails Overview
Prompt & File Protection
Sensitive data is removed from prompts and uploaded files before anything leaves the device. The AI service receives correctly formatted stand-ins, so the response is still useful.
Automatic Response Restoration
Real values are restored on the way back when results are copied into the employee's work. The LLM never sees a real identifier, but the person gets an answer they can use as-is.
Policy-Based Classification & Masking
Powered by Mage Data's patented discovery and classification engine with built-in classifications, applying fit-for-purpose protection from 80+ techniques — redaction, masking, encryption and tokenization.
Works With Any AI Tool
ChatGPT, Gemini, Claude — or whatever comes next. Guardrails sit in your environment rather than in an AI provider's cloud, so adding a new tool does not mean rebuilding your controls.
User Reports & SIEM Integration
Personalized reports nudge employees toward better behaviour without admin escalations, and every event exports to SIEM platforms like Splunk or QRadar.
Learn moreRuns inside your environment. Prompts and files are inspected in your own VPC or data centre, not in a vendor cloud. Deploy AI Usage Guardrails standalone, or — if you already run Mage Data — inherit the policies that govern your databases, files and endpoints so AI use follows the same rules.
See it on your own data
Book a 30-minute demo and we will show AI Usage Guardrails protecting a live prompt against your own classification policies.