Secure the Data Movement Behind AI and Analytics
Deliver enterprise data from private systems, partner networks and distributed operations to the approved data lakes, analytics platforms and AI environments that depend on it.
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THE REALITYYour Analytics Platform Is Missing Data
Enterprise data rarely starts in one analytics-ready cloud environment. It is distributed across operational applications, legacy systems, file servers, partner networks, branches, plants, laboratories and private infrastructure. When teams rely on manual uploads, shared folders and disconnected scripts, data ingestion bottlenecks can slow a file-based data pipeline, weaken batch pipeline reliability and delay data availability for analytics.
Data Is Distributed
Important files may reside behind firewalls, across remote locations, in cloud services or within systems that were never designed to connect directly to modern analytics platforms.
Ingestion Is Not Governed
One-off scripts, embedded credentials, manual uploads and unmanaged copies can leave security and operations teams without consistent control over how data reaches downstream environments.
Bottleneck Risk Is Constant
Missed batches, failed scripts and incomplete transfers from manual intake can delay dashboards, forecasting, risk analysis and other data-dependent processes.
THE SOLUTIONCreate Governed, Repeatable Data Delivery Workflows
Progress® Automate MFT helps organizations securely collect and deliver file-based enterprise data to the cloud storage, data lakes, processing environments and platforms used for analytics and AI. Centralize workflow design, scheduling, access, monitoring and audit visibility while self-hosted agents execute close to private and distributed data.
Collect from Enterprise Data Sources
Connect file servers, cloud storage, business applications, email inboxes, partner environments and private infrastructure.
Automate Landing Zone Delivery
Build scheduled or on-demand workflows that move files to Amazon S3 or S3-compatible storage, Azure Data Lake Storage, Azure Blob Storage and Google Cloud Storage.
Monitor and Hand Off
Track task execution, file activity and workflow status with audit-ready logging. Once the data arrives, your existing analytics or AI platforms can prepare, transform and use it.
Progress Automate MFT moves and monitors the data. Your downstream platforms prepare and use it.
Secure, Connect and Operationalize Data Delivery
Secure and Govern the Route to Enterprise Data
Replace inconsistent transfer methods with centrally managed workflows that use approved endpoints, authentication methods, encrypted transfer protocols and access controls.
Encrypted transfer protocols
OIDC and SAML single sign-on (SSO)
Multi-factor authentication (MFA)
Role-based access controls (RBAC)
Centralized keys and certificates
Task, file activity and audit reporting
Reach Data Where It Lives
Use self-hosted agents to execute workflows within private networks, plants, branches, laboratories and cloud environments. Files move directly between approved endpoints rather than passing through the cloud management console.
Centralized cloud orchestration and hybrid execution
Direct endpoint-to-endpoint movement
Connect to Azure Data Lake Storage, Amazon S3, S3-compatible storage, Azure Blob, Google Cloud Storage
Support for SFTP, FTPS, HTTPS, CIFS, local storage, SharePoint, OneDrive, Progress® AutomateMFT, Progress® ShareFile®, Progress® MOVEit® IMAP and SMTP
Replace Scripts with Managed Workflows
Turn recurring file handoffs into visible, reusable landing zone automation workflows that reduce data ingestion bottlenecks and improve batch pipeline reliability.
No-code and low-code task creation
Custom PowerShell steps
Scheduling and conditional logic
API-based task execution and monitoring
Centralized reporting
Support the File Workflows Behind Analytics and AI
Data Lake Ingestion
Move scheduled exports from operational systems, file shares and secure transfer servers into Amazon S3, Azure Data Lake Storage or other landing zones.
Partner Data Collection
Collect supplier, customer and third-party files through standardized, monitored workflows.
Distributed Data Aggregation
Use local agents to collect files from plants, branches, laboratories and field locations.
Recurring BI Delivery
Automate delivery of the source files used by dashboards, forecasting and operational reporting.
Research and Laboratory
Standardize research-data handoffs without exposing every laboratory system directly.
Approved Content Indexing
Deliver approved content from SharePoint, OneDrive and file shares to indexing or processing landing zones.
Built for the Teams Behind Data Delivery
Stakeholders
Data Leaders and BI Teams
Establish a repeatable operational foundation for making approved enterprise data available to analytics and AI initiatives.
Security Leaders
Strengthen control over sensitive data movement while reducing shadow IT risk across analytics and AI workflows.
IT Operations and MFT Administrators
Replace fragile scripts and manual processes with centrally managed workflows.
Industries
Banking and Financial Services
Deliver transaction files, payment batches and partner feeds into approved fraud, risk and treasury analytics environments.
Learn MoreBiopharma and Healthcare
Collect research, laboratory, clinical-site and patient claims files from distributed locations and partners.
Learn MoreManufacturing
Use local agents to move machine logs, MES exports and quality files from plant environments into predictive-maintenance and operational analytics platforms.
Learn MoreEnergy and Utilities
Collect field, plant, contractor and asset data through centrally managed workflows that execute near distributed infrastructure.
Learn MoreFAQs
Learn More About Secure Data Ingestion
Make Secure Data Delivery Part of Your AI and Analytics Foundation
