AI Data Leakage
AI data leakage is the unintended exposure of sensitive information through an AI system, whether via user inputs sent to external models, model outputs that reveal training data, or agent actions that expose data through connected tools.
How AI Data Leakage Happens
AI systems create data exposure paths that traditional security tools do not fully see.
- Inputs to external models: Employees pasting sensitive text into consumer AI tools, sending proprietary data to model providers as part of everyday work.
- Outputs from models: Generated content that inadvertently reproduces training data, exposes information from retrieval sources, or reveals system prompts.
- Agent actions: Autonomous agents accessing sensitive data through connected tools and passing it to downstream systems that should never have received it.
Each path bypasses traditional DLP controls in different ways. DLP built for file transfers and email does not consistently catch text pasted into a browser-based AI tool.
Why AI Data Leakage Is a Major Risk
AI adoption has outpaced most organizations' ability to control what employees send to which models. Shadow AI makes the exposure worse, since unsanctioned tools may not have enterprise contracts limiting how vendors use submitted data.
The result is a large, distributed, largely unmeasured data exfiltration channel that operates through legitimate employee behavior rather than adversarial action. See how to discover, monitor, and manage shadow AI across the enterprise.
Controlling AI Data Leakage
Controls typically span AI asset discovery to identify where AI is in use, browser and endpoint controls to detect and block sensitive submissions, contractual controls to ensure sanctioned tools handle data appropriately, and continuous monitoring to catch new leakage paths as they emerge.
How Kovrr Approaches AI Data Leakage
Kovrr's AI Security and Governance Platform uses connected browser, endpoint, and network telemetry to detect sensitive data flowing to AI systems, whether sanctioned or shadow, and integrates the findings into the enterprise AI risk register.
Related Terms
Full AI Visibility. Full Control. One Connected Platform.
Enterprise AI is expanding faster than most governance programs can track. Kovrr connects every AI signal across browser, endpoint, network, identity, and vendor systems into a single platform so security, governance, and risk teams work from the same evidence.
