Where AI Meets Trusted Infrastructure Knowledge

AI is no longer an experiment happening at the edge of the enterprise. It is rapidly becoming embedded in core business workflows—analyzing data, accelerating decisions and reshaping how organizations operate. But as AI moves closer to mission‑critical systems, one truth becomes impossible to ignore:

AI is only as reliable, secure and valuable as the infrastructure beneath it.

Trustworthy AI doesn’t start with a model. It starts with resilient application delivery, observable networks, governed knowledge and secure data movement. This is where infrastructure stops being invisible plumbing and becomes a strategic enabler.

Progress brings these layers together, creating an infrastructure‑first foundation for AI that enterprises can trust.

Infrastructure‑First AI: A Different Starting Point

Much of the AI conversation today is dominated by tools, copilots and point solutions. While these can demonstrate quick wins, they often sit on top of fragile, disconnected systems:

• Data that isn’t governed
• Networks that aren’t fully observable
• Applications that weren’t designed for dynamic workloads
• File transfers that lack centralized control

The result? AI systems that are hard to scale, difficult to secure and risky to operate.

Progress takes a different approach—treating AI as a production workload, not a science project. That means starting with infrastructure designed for reliability, security, visibility and control.

Application Delivery: Publishing AI‑Powered Applications with Confidence

At the application layer, the Progress Kemp LoadMaster solution acts as the enterprise‑ready Application Delivery Controller (ADC) that publishes and protects the applications AI depends on.

Modern AI workloads are dynamic by nature. They run across hybrid and multi‑cloud environments, scale unpredictably and demand consistent performance. The LoadMaster ADC provides:

• Centralized visibility into application health and performance across the stack
• Increased support for hybrid and multi‑cloud deployments
• Kubernetes Ingress and API Gateway capabilities for modern, containerized applications
• Built‑in security and observability for AI‑enabled services

Whether AI is powering customer‑facing experiences or internal automation, LoadMaster load balancer maintains consistent, reliable and secure application delivery.

Network Observability: Seeing What AI Depends On

AI workloads are deeply dependent on network behavior—latency, traffic patterns, availability and security all directly affect outcomes. Without visibility, teams are flying blind.

The Progress WhatsUp Gold solution delivers enterprise‑grade unified network observability and security across hybrid and multi‑cloud environments. It provides:

• Full visibility into network infrastructure and performance
• Traffic behavior analysis and anomaly detection
• Actionable insights into emerging threats
• Scalable architecture with behavioral analytics

For AI workloads, this matters more than ever. WhatsUp Gold network monitoring enables IT and security teams to monitor, troubleshoot and safeguard the networks supporting AI, maintaining reliability without sacrificing speed.

AI doesn’t just need computer power—it needs confidence in the pathways that move data between systems.

Knowledge Infrastructure: Not Another AI App

AI’s real value emerges when it can interact with enterprise knowledge—documents, contracts, policies, records and communications. But that knowledge must be indexed, governed and searchable before it can be trusted.

Progress Agentic RAG provides exactly that: a modular, cloud‑ready retrieval and orchestration layer that connects large language models (LLMs) to enterprise knowledge securely and transparently.

Unlike DIY pipelines or embedded copilots, Agentic RAG is purpose‑built to operate AI across real business workflows:

• Automatically indexes documents, video, audio and web content
• Creates a governed, searchable enterprise knowledge layer
• Supports production workloads—not experiments
• Works across data types, workflows and models

This is knowledge infrastructure, not just AI functionality. It helps AI systems deliver answers that are explainable, auditable and grounded in trusted data.

Secure File Movement: The Foundation AI Relies On

Behind every AI workflow is a constant flow of data, files being ingested, shared, processed and archived. If those flows aren’t secure, centralized and governed, AI becomes a liability.

That’s why Managed File Transfer (MFT) is a foundational prerequisite for AI‑adjacent workloads.

Progress MFT enables organizations to:

• Secure and centralized file transfers across systems and environments
• Enforce compliance and governance policies
• Automate data movement for AI pipelines and analytics workflows
• Maintain data integrity from source to destination

AI systems are only as trustworthy as the data flows feeding them. MFT provides the control and assurance enterprises need to participate credibly in the AI‑infrastructure conversation.

AI That Enhances Work, Not Replaces It

At the workflow layer, ShareFile with AI capabilities brings purpose‑built intelligence to the document processes professionals rely on every day.

ShareFile focuses on real business workflows—document collection, review, sharing and data security, delivering:

• Measurable efficiency gains
• Built‑in security and governance
• An intuitive experience that requires no training

Importantly, ShareFile doesn’t replace human connection. It automates low‑value tasks so teams can focus on client service, decision‑making and outcomes where human judgment matters most.

A Unified Stack for Trusted AI

Together, these capabilities form a cohesive, infrastructure‑first AI stack:

• Application delivery that scales and secures AI services
• Network observability that protects performance and reliability
• Knowledge infrastructure that grounds AI in governed enterprise data
• Secure file transfer that ensures trusted data flows
• Workflow intelligence that enhances, not disrupts, how people work

This is how AI becomes operational, secure and sustainable in the enterprise.

From Experimentation to Confidence

AI only delivers value when it’s built on infrastructure you can trust. Progress brings together proven infrastructure expertise and production‑grade AI capabilities to help organizations move from experimentation to execution—securely, reliably and at scale.

Where AI meets trusted infrastructure knowledge, real value begins. Find out more at the Cloud and AI Infrastructure Event, London, March 4-5.