Implementing guardrails around containerized large language models (LLMs) on Kubernetes is crucial for ensuring security and compliance. This involves setting resource limits, using namespaces for isolation, and implementing access controls to mitigate risks associated with running LLMs in a production environment. Properly configured guardrails can help organizations leverage the power of LLMs while maintaining operational integrity.

Kube-Policies introduces a security framework for Kubernetes environments, focusing on creating flexible guardrails that enhance security without hindering innovation. By leveraging the Open Policy Agent (OPA), the framework addresses unique client challenges with a structured policy promotion process, robust testing, and minimal user disruption. The approach emphasizes observability and security best practices to protect applications from vulnerabilities while facilitating rapid deployment.

Spotter is a Kubernetes security scanner designed to identify misconfigurations, vulnerabilities, and compliance issues in Kubernetes clusters and manifests. It features extensibility through the Common Expression Language (CEL) for defining custom rules, supports multiple output formats for CI/CD integration, and provides a comprehensive set of scanning capabilities, including real-time cluster assessments and detailed reporting.