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Securing AI Workloads on OpenShift with Native Tooling

·3 mins· 0
Technical Guide OpenShift AI/ML Security ACS RBAC Network Policies Tekton Chains Data Science OpenShift
Table of Contents
AI/ML OCP Tooling - This article is part of a series.
Part 6: This Article

Introduction #

Ensuring the security of AI workloads is crucial in any production environment. OpenShift provides a variety of native tools that help secure your AI/ML workflows. In this post, we will discuss key security measures using Advanced Cluster Security (ACS), RBAC, OCP Policies, and Tekton Chains.

Advanced Cluster Security (ACS) #

Red Hat Advanced Cluster Security (ACS or RHACS - “rack-S”) is an integrated security solution for OpenShift, based upon the open source tool StackRox, that provides container security, vulnerability management, and compliance features. It can secure your AI workloads by:

  • Scanning container images for vulnerabilities during the CI/CD process
  • Enforcing security policies to prevent deploying insecure applications
  • Monitoring running containers for real-time threat detection

Because ACS is such a fully featured product, we will discuss it in more detail in a dedicated follow-up post, so stay tuned!

Role-Based Access Control (RBAC) #

RBAC is a security feature that allows you to define permissions for users and groups within an OpenShift cluster. By implementing RBAC for your AI/ML workloads, you can:

  • Restrict access to specific projects, resources, or actions
  • Grant minimal permissions based on the principle of least privilege
  • Segregate duties between different roles, such as data scientists, ML engineers, and operators

To implement RBAC for your AI/ML workloads, create a Role and RoleBinding:

kind: Role
  namespace: ai-project
  name: ai-developer
- apiGroups: [""]
  resources: ["pods", "pods/log", "persistentvolumeclaims"]
  verbs: ["create", "delete", "get", "list", "patch", "update", "watch"]


kind: RoleBinding
  name: ai-developer-binding
  namespace: ai-project
- kind: User
  name: [email protected]
  kind: Role
  name: ai-developer

This example creates a role with permissions to manage pods and PVCs in the ai-project namespace and assigns it to the user [email protected].

OpenShift Cluster Policies #

OpenShift allows you to define cluster-wide policies that enforce certain security requirements. These policies can be used to secure AI/ML workloads by:

  • Limiting resources: Prevent resource exhaustion by enforcing resource quotas and limits on AI/ML workloads
  • Controlling network access: Restrict inbound and outbound network connections for AI/ML workloads using network policies

Here’s an example of a NetworkPolicy that allows only inbound connections from other pods within the same namespace:

kind: NetworkPolicy
  name: allow-same-namespace
  namespace: ai-project
  podSelector: {}
  - from:
    - podSelector: {}

Tekton Chains #

Tekton Chains is a project that provides supply chain security for Tekton Pipelines. It can be used to secure AI/ML workloads built using Tekton by:

  • Signing pipeline artifacts: Generate signatures for pipeline artifacts to ensure their integrity and origin
  • Storing signed payloads: Store these signatures and metadata in a secure, tamper-proof system

To enable Tekton Chains in your cluster, install the Tekton Chains Operator and create a ChainConfig custom resource:

kind: ChainConfig
  name: chainconfig-sample
  # Add fields here
For more information on Tekton, read our post on Leveraging Tekton for AI Workloads on OpenShift

Conclusion #

OpenShift offers various tools and methods to secure your AI/ML workloads, ranging from ACS for container security, RBAC for access control, cluster policies for enforcing security requirements, and Tekton Chains for supply chain security. Using these tools in combination can help ensure the secure operation of your AI/ML applications.

References #

  1. Product Documentation for Red Hat Advanced Cluster Security for Kubernetes
  2. RBAC Documentation
  3. How Red Hat OpenShift enables container security
  4. Tekton Chains Documentation
  5. TektonCD Archives - CD Foundation

AI/ML OCP Tooling - This article is part of a series.
Part 6: This Article