In this episode, we break down our recent YouTube video : “LLM Security Exposed!”, where we explore the rising security risks in Large Language Model (LLM) deployments — and how Zero-Trust principles can help mitigate them.

🔍 We dive deeper into:

• The top LLM threats you can’t afford to ignore — from prompt injection to data leakage and malicious packages

• Why LLM applications need the same level of protection as any production workload

• What a Zero-Trust Architecture looks like in the AI space

• How tools like LLM Guard, Rebuff, Vigil, Guardrail AI, and Kubernetes-native policies can help secure your stack

🧠 We also unpack the role of the AI Gateway:

• Think of it as your LLM firewall, managing auth, filtering prompts, and enforcing policy

• Helps ensure responsible usage, access control, and even bias mitigation

This podcast expands on the visual quick-hits from the Shorts format with real-world examples, extended commentary, and practical insights for DevSecOps and platform engineers working in the GenAI space.

🎧 Tune in and learn how to stop treating LLMs like toys — and start building secure, enterprise-grade AI systems.

📺 Watch the original YouTube Shorts here: [YouTube Link]
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