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Your Red Hat OpenShift AI models are waiting at the door. Who’s knocking?

You’ve trained the model, packaged it on Red Hat OpenShift AI, and it’s ready to work. The next move is exposing it through an API so people and applications can use it. At that moment, your model stops being an internal experiment and becomes a front-door service. And like any front door, somebody is going to knock … sometimes it’s the right user, sometimes not.Your model is no longer just a project in a lab: it’s a production endpoint. And like any endpoint, it’s a target. How do you ensure that only the right applications and users are interacting with it? How do you protect the

6 days ago

Red Hat Blog

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Your model is no longer just a project in a lab: it’s a production endpoint. And like any endpoint, it’s a target. How do you ensure that only the right applications and users are interacting with it? How do you protect the sensitive data it might be trained on or the proprietary logic it contains?

The new front door is an API

Every API endpoint is a target. For AI models, the attack surface is bigger than a simple app service. Beyond simple denial-of-service traffic, models can be tricked into leaking data through prompt injection, or probed until sensitive training data shows up. Even when no data leaks, attackers may try to hijack compute cycles or scrape responses in bulk.

As deployments spread across clouds, datacenters, and edge sites, these risks multiply. Security policies get harder to enforce, versioning drifts, and compliance checks become a moving target. Without consistent visibility, it’s easy to miss unusual traffic patterns until it’s too late.

How Red Hat and F5 work together

OpenShift AI gives you the consistent container platform to build, train, and serve models across environments. It standardizes how you package workloads, manage lifecycles, and scale infrastructure.

F5 offers their industry leading Application Delivery and Security Platform (ADSP), which provides broad support application deployments across hybrid and multicloud environments. F5 Distributed Cloud Services is the scalable Software-as-a-Service (SaaS)-based layer of the ADSP that can be deployed to secure API endpoints from a broad spectrum of attacks through the following capabilities:

API discovery and schema validation: Find every model endpoint (even the forgotten ones), enforce contracts, and block malformed or malicious calls.
Threat detection and traffic management: Spot injection, scraping, or abuse in real time, while balancing traffic to keep latency low.
Centralized visibility: 1 dashboard to see usage, enforce policies, and maintain compliance across hybrid or multicloud deployments.
Automation and policy consistency: Security rules follow the model wherever it runs, reducing manual overhead and helping teams roll out new versions faster.

Together, Red Hat and F5 reduce the trade-off between moving quickly and locking things down.

Build faster, stay protected

Data science and application teams don’t want security bolted on at the end. They need it integrated into the pipeline so they can release updates with confidence. OpenShift AI provides the MLOps foundation. F5 helps ensure that the APIs those models rely on aren’t a soft spot.

That means when your models start talking, you can be sure they’re only talking to the right people.

Listen as Sherard Griffin discusses how Red Hat makes AI accessible to your business through Red Hat OpenShift:
See how F5’s Distributed Cloud Services helps to secure your AI models:

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