Sold by: IBM Software
Deployed on AWS
IBM Guardium Exposure Manager prevents sensitive data exposure across AI workloads and workforce endpoints with complete visibility into how enterprise data flows through AI systems. Track sensitive data from source through RAG pipelines, AI applications, and employee endpoints to derivative AI-generated content. Reduce investigation time by 95%, achieve GDPR compliance in minutes, and safely accelerate AI adoption with unified data lineage, shadow AI detection, and context-aware policy enforcement.
Overview
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The AI Data Exposure Challenge
As enterprises accelerate AI adoption, they face a critical visibility gap. According to Gartner and IDC (2026), 68% of organizations have unsanctioned AI usage that creates ungoverned data proliferation, while 39% rank data governance as their top AI priority.
Organizations cannot answer fundamental questions: Where did AI-generated content originate? Which sensitive data is feeding AI systems? Who is sharing corporate data with AI tools?
Traditional data loss prevention (DLP) solutions cannot track data through AI transformations, retrieval-augmented generation (RAG), vector embeddings, or agentic workflows, leaving security teams with limited visibility into AI-related data exposure risks.
Complete AI Data Lifecycle Visibility
IBM Guardium Exposure Manager delivers end-to-end visibility and control across AI workloads and workforce endpoints.
The platform provides two integrated streams:
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Workload Stream: Monitors AI applications, RAG pipelines, and prompt activity to track what enterprise data is feeding AI systems, where sensitive data is being ingested, and how data transforms through AI processing. Security teams gain visibility into AI project data usage, supported by business context and policy enforcement.
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Workforce Stream: Monitors employee endpoints to detect shadow AI usage, track downloads and uploads to AI tools, and trace AI-generated derivative files back to source data. Organizations can understand who accessed what data, what changed, where data was uploaded, and what sensitive corporate data was exposed to risk.
Business Outcomes
- 95% reduction in investigation time through bidirectional data tracing in seconds rather than weeks.
- 99% faster GDPR Article 15 responses through complete data lineage from source data to AI usage and derivative content.
- 80% faster AI project approvals by enabling safe AI adoption with built-in governance and visibility.
- Comprehensive compliance support for GDPR, EU AI Act, CCPA, SOC 2, and ISO 27001 through automated evidence collection.
Enterprise-Grade Security for AI
Built on IBM's proven Guardium data security platform, Guardium Exposure Manager integrates with watsonx.governance to provide unified AI governance. The solution supports hybrid cloud and SaaS environments and uses context-aware policies that help security teams enable AI adoption without becoming a barrier to innovation.
Highlights
- Bidirectional data tracing across AI workloads and workforce endpoints - track sensitive data from source systems through RAG pipelines, AI applications, and employee endpoints to AI-generated derivative content. Reduce investigation time by 95%.
- Detect unsanctioned AI usage across workforce and workloads - monitor employee downloads, uploads, and copy/paste into AI tools; track what enterprise data feeds AI projects; enforce context-aware policies that enable safe AI adoption without blocking productivity
- Accelerate GDPR, EU AI Act, and regulatory compliance - automated evidence collection for data lineage, access trails, and AI usage; respond to GDPR Article 15 requests in minutes instead of weeks; demonstrate comprehensive data protection controls to auditors and regulators
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Guardium Exposure Manager Essentials | 1 Instance, up to 4 Workload applications, and up to 250 Workforce endpoints | $40,128.00 |
Guardium Exposure Manager Standard | 1 Instance, up to 10 Workload applications, and up to 1000 Workforce endpoints | $85,440.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Description | Cost/unit |
|---|---|---|
Guardium Exposure Manager Workload application Overage | Guardium Exposure Manager Workload application per month overage | $187.00 |
Guardium Exposure Manager Workforce Endpoints Overage | Guardium Exposure Manager Workforce Endpoints per month overage | $6.60 |
Dimensions summary
This listing offers two base packages plus two overage options. The Essentials and Standard packages each cover one instance and a set number of Workload applications and Workforce endpoints. Standard supports more applications and endpoints than Essentials. You pick the base package that fits your expected usage. If you exceed the included limits, the two overage dimensions apply. One overage charges per Workload application per month. The other charges per Workforce endpoint per month. Overage billing lets you scale beyond package limits without switching packages.
Top-of-mind questions for buyers
A Workload application is an AI application, pipeline, or data source connected to the product, such as RAG pipelines, vector databases, or model inference. A Workforce endpoint is an individual employee device where the agent monitors sensitive data use. Each package counts these two categories separately against its own limits.
The two overage dimensions apply once you pass your included limits. One meters each extra Workload application per month. The other meters each extra Workforce endpoint per month. Overages bill independently from your base package, so you scale past the limits without switching packages.
The two overages bill independently and both appear on the same invoice. Workforce endpoint overage tends to dominate when many employees use AI tools, since endpoints are counted per device. Workload application overage grows as you connect more AI applications and data sources beyond your package limit.
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Delivery details
Software as a Service (SaaS)
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Resources
Support
Vendor support
https://www.ibm.com/mysupport/s/?language=en_US IBM provides enterprise grade support for IBM Guardium Exposure Manager, including assistance with deployment, configuration,lifecycle management, and ongoing operational guidance. Customers can reach IBM Support through standard IBM support channels or via enterprise support agreements.
AWS infrastructure support
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.
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