Prevent Sensitive Data From
Leaking Through AI Systems

Gain real-time visibility into how sensitive data moves into, through, and out of AI tools, agents, copilots, prompts, files, and connected workflows. Grafyn helps security teams detect exposure, understand where sensitive information flows, and prevent confidential data from being disclosed through unauthorized or risky AI usage.

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AI Is Creating New Sensitive Data Blind Spots

Employees and applications are using AI to move faster, but sensitive information can now enter prompts, files, model responses, plugins, agents, and downstream workflows without security teams seeing it. For CISOs, the challenge is understanding what data was exposed, where it traveled, which AI system accessed it, and whether the disclosure created security, privacy, or compliance risk.

48%

Employees entered non-public company information into GenAI tools.

45%

Employees entered employee names or employee information into GenAI applications.

48%

Employees uploaded sensitive company information or copyrighted material into public AI tools.

40%

Files uploaded into GenAI tools contain PII or PCI data.

A Complete Solution to Control Sensitive Data Exposure Across AI

Grafyn helps security teams detect sensitive data movement across AI tools, prompts, files, agents, MCP servers, and connected systems before exposure turns into a data security, privacy, or compliance incident.

Detect Sensitive Data Exposure

Identify when employees, applications, or AI workflows share sensitive information such as customer data, employee records, source code, financial data, credentials, internal documents, or regulated information with AI systems.

Map Data Movement and Exposure

Understand how sensitive data flows into AI systems, appears in outputs, moves through agents, and reaches connected tools, APIs, files, and downstream business systems.

Prevent Unauthorized Disclosure

Enforce data handling policies, block risky sharing, detect sensitive outputs, guide users toward approved AI tools, and reduce data leakage without stopping secure AI adoption.