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AI News Stories | Episode 28 – Questions from the Community
In this episode of BHIS Presents: AI Security Ops, the panel tackles real questions from the community, diving deep into the practical, ethical, and technical challenges of AI in cybersecurity. From red teaming tools to prompt privacy, this Q&A session delivers candid insights and actionable advice for professionals navigating the AI-infused threat landscape.

🧠 Topics Covered:

• Open-source tools for LLM red teaming
• Threat modeling AI systems (STRIDE methodology)
• Hallucination rates in frontier vs. local models
• Prompt privacy: what’s stored, what’s shared
• Should red teamers disclose AI usage?
• Human-in-the-loop: AI-generated deliverables
• Whether you're a pentester, SOC analyst, or just curious about how AI is reshaping offensive security, this episode is packed with expert perspectives and practical takeaways.

About the Panel:
Brian Fehrman, Derek Banks, Joff Thyer

Brought to you by Black Hills Information Security 

https://www.blackhillsinfosec.com

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Joff Thyer - https://blackhillsinfosec.com/team/joff-thyer/

Derek Banks - https://www.blackhillsinfosec.com/team/derek-banks/

Brian Fehrman - https://www.blackhillsinfosec.com/team/brian-fehrman/

Bronwen Aker - http://blackhillsinfosec.com/team/bronwen-aker/

Ben Bowman - https://www.blackhillsinfosec.com/team/ben-bowman/

• (00:00) - Intro & Sponsor Shoutouts
• (01:14) - Recommended Tools for LLM Red Teaming
• (06:12) - Threat Modeling AI Systems
• (09:58) - Which Models Hallucinate Most?
• (17:13) - Prompt Privacy: What You Should Know
• (22:54) - Should Red Teamers Disclose AI Usage?
• (27:01) - Final Thoughts & Wrap-Up