The AI Fundamentalists
The AI Fundamentalists
Dr. Andrew Clark & Dr. Sid Mangalik
AI in practice: Guardrails and security for LLMs
35 minutes Posted Sep 30, 2025 at 5:00 am.
Guest intro: Nic Brathwaite
What we’re reading & why it matters
Guardrails in practice
What guardrails do
PII, confidentiality, and regex basics
Where to place guardrails
Intentional RAG and vector design
Material risks across industries
Bedrock guardrails vs open source
Domain models for responsible AI
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Show notes
In this episode, we talk about practical guardrails for LLMs with data scientist Nicholas Brathwaite. We focus on how to stop PII leaks, retrieve data, and evaluate safety with real limits. We weigh managed solutions like AWS Bedrock against open-source approaches and discuss when to skip LLMs altogether. • Why guardrails matter for PII, secrets, and access control • Where to place controls across prompt, training, and output • Prompt injection, jailbreaks, and adversarial handling • RAG des...