Uploaded May 2026 | Updated September 2026, 2 hours ago
In this demo, F5 AI Guardrails and Red Hat OpenShift AI work together to combat, secure, and govern GenAI traffic at the inference layer — with LlamaStack and vLLM serving the models entirely on-cluster.
Watch as we tackle the risks traditional API security can't see: OWASP LLM01 prompt injection and jailbreaks, LLM02 sensitive information disclosure, and uncontrolled AI interactions that leak PII, IP, and policy violations downstream. You'll see F5 AI Guardrails inspect every prompt and response in real time, enforce pre-built and custom policies, and produce a full per-request audit trail — all running as a Kubernetes-native operator on Red Hat OpenShift AI.
Explore the Following Key Topics:
0:00 Introduction and the AI Inference Risk Landscape
0:29 AI Inference Risk and F5 AI Guardrails
1:22 Demo Environment on Red Hat OpenShift AI
2:12 Infrastructure overview
3:22 Pre-built Guardrails
4:48 Custom Guardrails with Topic, Keyword, and Regex Pattern
7:35 Audit Trail and Observability
8:15 Summary and Key Takeaways
Notes:
- Contributed by: Eric Ji
- Related Article: None
- Project Files: None
⬇️⬇️ JOIN THE COMMUNITY! ⬇️⬇️⬇️
DevCentral is an online community of technical peers dedicated to learning, exchanging ideas, and solving problems—together.
Find all our platform links ⬇️ and follow our Community Evangelists! 👋
➡️ DEVCENTRAL: community.f5.com
➡️ YOUTUBE: youtube.com/devcentral
➡️ LINKEDIN: linkedin.com/showcase/f5-devcentral
➡️ X: https://x.com/devcentral
Your Community Evangelists:
👋 Jason Rahm: linkedin.com/in/jrahm | https://x.com/jasonrahm
👋 Buu Lam: linkedin.com/in/buulam | https://x.com/buulam
👋 Chase Abbott: linkedin.com/in/chaseabbott1
In this demo, F5 AI Guardrails and Red Hat OpenShift AI work together to combat, secure, and govern GenAI traffic at the inference layer — with LlamaStack and vLLM serving the models entirely on-cluster.
Watch as we tackle the risks traditional API security can't see: OWASP LLM01 prompt injection and jailbreaks, LLM02 sensitive information disclosure, and uncontrolled AI interactions that leak PII, IP, and policy violations downstream. You'll see F5 AI Guardrails inspect every prompt and response in real time, enforce pre-built and custom policies, and produce a full per-request audit trail — all running as a Kubernetes-native operator on Red Hat OpenShift AI.
Explore the Following Key Topics:
0:00 Introduction and the AI Inference Risk Landscape
0:29 AI Inference Risk and F5 AI Guardrails
1:22 Demo Environment on Red Hat OpenShift AI
2:12 Infrastructure overview
3:22 Pre-built Guardrails
4:48 Custom Guardrails with Topic, Keyword, and Regex Pattern
7:35 Audit Trail and Observability
8:15 Summary and Key Takeaways
Notes:
- Contributed by: Eric Ji
- Related Article: None
- Project Files: None
⬇️⬇️ JOIN THE COMMUNITY! ⬇️⬇️⬇️
DevCentral is an online community of technical peers dedicated to learning, exchanging ideas, and solving problems—together.
Find all our platform links ⬇️ and follow our Community Evangelists! 👋
➡️ DEVCENTRAL: community.f5.com
➡️ YOUTUBE: youtube.com/devcentral
➡️ LINKEDIN: linkedin.com/showcase/f5-devcentral
➡️ X: https://x.com/devcentral
Your Community Evangelists:
👋 Jason Rahm: linkedin.com/in/jrahm | https://x.com/jasonrahm
👋 Buu Lam: linkedin.com/in/buulam | https://x.com/buulam
👋 Chase Abbott: linkedin.com/in/chaseabbott1
