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In Episode 14 of the AI Security Ops Podcast, hosts Joff Thyer, Derek Banks, and Brian Fehrman answer questions submitted by viewers.
The team will cover how effective prompt engineering can transform LLMs into workflow accelerators, and debate AI tool strengths— when to use Claude, ChatGPT, or Notebook LM.
They'll discuss the importance of human oversight when integrating AI into operations, highlighting the "human-in-the-loop" concept and include ways to explain AI to non-technical audiences.
#AI #promptengineering #CyberSecurity #Automation #SecurityOps #claudeai #chatgpt
00:00 - Welcome, Intro
02:00 - Q - How do you use AI?
02:55 - The importance of effective prompt engineering
10:24 - Upcoming workshop - AI Workflow Optimization for Red Teaming
12:10 - Q - Which AI for which task? Where should I invest my time?
14:12 - Claude for coding in Python & Golang, but not great at Java
16:35 - Derek - Initial prompt improvement in Chat GPT, then go to Claude
17:37 - NotebookLM for students (https://notebooklm.google/)
20:01 - Invest your time in prompt engineering - applicable to any model
22:38 - Double check code, understand what it means, do not blindly trust AI output
25:17 - Q - How to discuss AI with a non-technical audience
28:08 - Talk to LLMs like a child
28:54 - AI is not sentient, it's just drawing relevant correlations
31:48 - Ask them clarifying questions - what are they trying to ask? What's the context?
33:37 - Q - How can you do "Human in the Loop?"
35:24 - Don't give your agentic AI too much power - treat it like a junior assistant
