DATA SECURITY FOR AI

Protect Sensitive Data with AI Data Security

Monitor and control sensitive data in GenAI prompts, uploads, and responses across approved and shadow AI tools.

Business professional holding a smartphone in an urban setting with blue digital wave graphics representing secure AI adoption.

Overview

Reduce AI data exposure and control how data is used

Data security for AI demands a new approach. GenAI is expanding data exposure and insider risk across both approved and shadow AI tools. A unified AI data security solution gives security teams the visibility and control to reduce risk and protect sensitive data without slowing innovation.

Reduce AI data exposure risks

Gain visibility into how sensitive data is used and misused across shadow and approved AI apps, including high-risk users and risky behaviors.

Prevent data exposure in approved AI activity

Inspect prompts, uploads, and responses in real time to rapidly detect misuse and prevent unintended data exposure.

Stop data loss through shadow AI

Block or redact sensitive data in prompts, uploads, and paste actions to prevent data loss without disrupting productivity.

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The AI Risk Landscape

AI expands your data risk and security blind spots

Adoption of generative AI creates a new attack surface and a new class of security challenges. Uncontrolled use of both shadow and approved AI tools can expose sensitive data, including intellectual property, customer data, and credentials, through prompts or responses.

Traditional data governance and security measures lack visibility into data accessed and exposed by AI systems. As a result, organizations face growing compliance and governance gaps, and struggle to audit how third-party AI systems process, share, and store regulated data.

78 %

of global CISOs believe GenAI poses a risk to their organization

Proofpoint, 2026.

68 %

of orgs using AI tools say shadow access or misuse exposed sensitive data

Metomic, 2025.

62 %

of orgs cite lack of data governance as the main blocker of AI adoption

Precisely, 2025.

Product Capabilities

Govern shadow AI data use and accelerate secure AI adoption

Proofpoint Data Security for AI empowers you to securely adopt AI by providing visibility into approved and shadow AI data use. It unifies monitoring, data controls, and AI activity insights so you can reduce exposure and enable safe, scalable AI adoption.

Features

Visibility into AI Data Use

See and understand AI activity across your environment, including high-risk users, sensitive data exposure, and how AI-powered tools interact with your data.

Approved AI Monitoring & Remediation

Monitor AI prompts, uploads, and responses for sensitive data exposure and misuse. Capture full prompt and response activity for investigations and audits, and remediate oversharing through admin and file owner workflows.

Shadow AI Data Security

Control data use in unapproved web and desktop AI apps. Block or redact sensitive data in prompts, uploads, and paste actions, reducing risk without forcing a ban.

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WHY PROOFPOINT

Proofpoint Data Security for AI vs. traditional data security solutions

CapabilityTraditional Data SecurityProofpoint Data Security for AI
Shadow AI coverageTracks known channels without a unified view of shadow AI riskShows approved and shadow AI data risk in one view so teams can govern every tool
Prompt and upload inspectionRelies on static rules that do not see AI-driven data useInspects prompts, uploads, and responses in real time to catch misuse and prevent exposure
Granular data controlsLimits AI governance to blanket allow or block decisionsBlocks or redacts sensitive data in prompts, uploads, and paste actions without forcing a ban
Audit and investigationRecords data events without full prompt and response contextCaptures full prompt and response activity to support audits and investigations
Data access visibilityLacks visibility into data that AI systems access and exposeShows how AI tools interact with your data, including high-risk users

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Frequently Asked Questions

AI data security is the set of controls that protect sensitive data as people and AI tools use it. It includes visibility into AI activity and inspection of prompts, uploads, and responses. Policies then block or redact risky data sharing across approved and shadow AI tools.

The main data security risks of generative AI are sensitive data entered into prompts and uploads, unapproved shadow AI tools, and overshared data that AI tools surface. Each can expose intellectual property, customer data, or credentials. In the 2026 Voice of the CISO report, 77% of CISOs are concerned about customer data loss through public GenAI tools.

An AI data security platform should include these capabilities:

  • Visibility into approved and shadow AI use
  • Inspection of prompts, uploads, and responses for sensitive data
  • Controls that block or redact risky activity
  • Full prompt and response capture for audits and investigations
  • Remediation of overshared data

Proofpoint Data Security for AI delivers these capabilities within a unified data security platform.

Organizations detect shadow AI by analyzing web and SaaS activity to find unapproved AI tools, then apply controls that limit sensitive data exposure. Proofpoint Data Security for AI covers unapproved web and desktop AI apps. It blocks or redacts sensitive data in prompts, uploads, and paste actions without forcing a ban.

Prevent AI data leakage by inspecting prompts, uploads, and responses for sensitive data and enforcing policies that block or redact risky activity. Capturing full prompt and response activity gives security teams the evidence to investigate incidents. Remediating overshared data also reduces what AI tools can surface.

AI security protects how people, applications and AI agents interact with AI systems. AI data security focuses specifically on protecting sensitive data that AI tools access, process and expose. It helps organizations discover AI data use, inspect prompts, uploads and responses, and apply controls across approved and shadow AI.

 

Traditional data security relies on static rules that do not see AI-driven data use. Proofpoint Data Security for AI inspects prompts, uploads, and responses in real time across approved and shadow AI tools. It also captures full prompt and response activity for audits and investigations.