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 without slowing productivity.
Proofpoint Data Security for AI gives security teams the visibility and control they need to safely embrace generative AI. GenAI tools are expanding both data exposure and insider risk across approved and shadow AI applications alike, and without visibility into how people and systems interact with these tools, that risk grows quickly and creates ongoing exposure. Traditional data security technologies weren't built to monitor AI prompts, uploads, or responses in real time, leaving organizations blind to how sensitive business information moves into sanctioned and unsanctioned AI tools - and insiders can misuse those same tools, intentionally or not, to find, summarize, rewrite, or exfiltrate sensitive data.
Data Security for AI closes that gap by monitoring AI activity as it happens rather than after the fact. It provides visibility into how sensitive data is used across shadow and approved AI apps, highlighting high-risk users and risky behaviors, while inspecting prompts, uploads, paste actions and responses in real time to rapidly detect misuse and prevent unintended data exposure. When risk is identified, the platform can act immediately: it can block the activity or redact the sensitive data to prevent data loss while maintaining productivity. This gives organizations a middle path between blanket bans on AI tools and unmonitored free use - unifying monitoring, data controls, and AI activity insights so teams can reduce exposure while still enabling safe, scalable AI adoption.
Data Security for AI is built to close governance and compliance gaps that traditional tools miss. By capturing full prompt and response context for approved AI, the solution supports audit readiness and helps teams demonstrate control over AI data flows - extending the same human-centric, behavior-aware approach that underpins Proofpoint's broader data security portfolio into the AI era.
Highlights
GenAI risk visibility: See how sensitive data is used across shadow and approved AI apps, surfacing high-risk users and behaviors.
Real-time prompt monitoring in approved AI: Inspects prompts, uploads, and responses in real time to catch misuse before data is exposed.
Control sensitive data activity in shadow AI: Blocks or redacts sensitive data in AI interactions, enabling safe adoption without slowing productivity.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension billed per user under a contract term. You pay based on the number of users you need to cover, so your cost scales directly with your licensed user count. There are no separate tiers, instance sizes, or usage add-ons to choose from. Pricing is set by the total users protected across the AI data security capabilities, including visibility into approved and shadow AI use, monitoring of prompts, uploads, and responses, and remediation controls. Contract terms may be single-year or multi-year based on the commitment you select.
Top-of-mind questions for buyers
What counts as one user for billing purposes?
A user is a person whose AI activity you protect. Billing scales with the count of licensed users covered across web and desktop AI apps. This includes monitoring their prompts, uploads, paste actions, and responses. You pay for the number of people you want covered, not per device or per AI tool.
How does my cost change as we add more employees or expand AI use?
Cost scales directly with your licensed user count. Adding people to cover raises your total; the same visibility, monitoring, and remediation controls apply to each user. Covering more AI tools for existing users does not add a separate charge, since pricing tracks users rather than the number of AI applications.
Is pricing based on users or on the volume of AI activity monitored?
Pricing is driven by user count, not by prompt, upload, or response volume. Your bill reflects how many people you license, regardless of how heavily they use AI tools. Vendor materials note some exceptions can depend on consumption, so confirm any high-volume scenarios with your Proofpoint account team.
www.proofpoint.com+1
Helpful?
Vendor refund policy
All orders are non-cancellable and all fees and other amounts that you pay are non-refundable. If you have purchased a multi-year subscription, you agree to pay the annual fees due for each year of the multi-year subscription term.
Request a private offer to receive a custom quote.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Proofpoint Data Security Posture Management (DSPM) discovers, classifies, and secures sensitive data across SaaS, cloud infrastructure and on-premises environments - including data used by AI and LLMs. Built-in data access governance gives security teams real-time visibility into who can access sensitive data, enforces least-privilege permissions, and flags over-permissioned or obsolete data so teams can remediate risk before it leads to exposure or a breach.
Proofpoint DLP Transform is an cross-channel Data Loss Prevention solution that unifies visibility across email, cloud, web, and endpoint to detect and stop data loss. It uses an adaptive, human-centric approach, analyzing user behavior and content together, to deliver high-fidelity alerts and streamlined incident response, including protection against data leakage to GenAI tools like ChatGPT and Copilot.
The leader in Human-Centric cybersecurity. 87 of the Fortune 100 trust Proofpoint to stop human-targeted attacks, safeguard their data and make their people more resilient. It prevents today's advanced email attacks, provides actionable visibility, and automated remediation that effectively stops threats while increasing your operational efficiencies. Proofpoint helps organizations break the attack chain by protecting data, investigating insiders, and blocking cloud threats. Our platform addresses the full spectrum of data loss scenarios by providing a holistic view across channels in a cloud-native interface and combining content, behavior, and threat telemetry.
Proofpoint ITM delivers comprehensive visibility into risky behavior from careless, compromised, and malicious insiders. Using a lightweight endpoint agent, it correlates user activity with sensitive data movement to detect risk early, gather irrefutable evidence, and accelerate investigation and response, while privacy controls like anonymization help ensure compliance and reduce analyst bias.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.