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AI Security Ops

AI Security Ops

Written by: Black Hills Information Security
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Join in on weekly podcasts that aim to illuminate how AI transforms cybersecurity—exploring emerging threats, tools, and trends—while equipping viewers with knowledge they can use practically (e.g., for secure coding or business risk mitigation).© 2025 Black Hills Information Security Politics & Government
Episodes
  • 2026 Predictions | Episode 35
    Jan 8 2026

    AI Security Ops | Episode 35 – 2026 Predictions

    In this episode, the BHIS panel looks into the crystal ball and shares bold predictions for AI in 2026—from energy constraints and drug development breakthroughs to agentic AI risks and cybersecurity threats.

    Chapters

    • (00:00) - Intro & Sponsor Shoutouts
    • (01:14) - Prediction: Grid Power Becomes the Bottleneck
    • (10:27) - Prediction: FDA Qualifies AI Drug Development Tools
    • (15:45) - Prediction: Nation-State Threat Actors Weaponize AI
    • (17:33) - Prediction: Agentic AI Dominates App Development
    • (23:07) - Closing Thoughts: Jobs, Risk & Opportunity

    🔗 Register for FREE Infosec Webcasts, Anti-casts & Summits –

    https://poweredbybhis.com



    Brought to you by:

    Black Hills Information Security

    https://www.blackhillsinfosec.com


    Antisyphon Training

    https://www.antisyphontraining.com/


    Active Countermeasures

    https://www.activecountermeasures.com


    Wild West Hackin Fest

    https://wildwesthackinfest.com


    ----------------------------------------------------------------------------------------------

    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/

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    25 mins
  • AI Security Ops - Why Did We Create This Podcast? | Podcast Trailer
    Dec 24 2025

    Join the 5,000+ cybersecurity professionals on our BHIS Discord server to ask questions and share your knowledge about AI Security.
    https://discord.gg/bhis

    AI Security Ops | Episode 34 – Why Did We Create This Podcast?
    In this episode, the BHIS team explains the purpose behind AI Security Ops, what you can expect from future episodes, and why this show matters for anyone at the intersection of AI and cybersecurity.

    Chapters

    • (00:00) - Intro & Welcome
    • (00:13) - Why We Started AI Security Ops
    • (00:41) - Our Mission: Stay Informed & Ahead
    • (00:56) - What We Cover: AI News & Insights
    • (01:23) - Community Q&A & Real-World Scenarios
    • (02:18) - Special Guests & Industry Leaders
    • (02:41) - Demos, How-Tos & Practical Tips
    • (03:07) - Who Should Listen & Why Subscribe
    • (03:34) - Join the Conversation & Closing

    🔗 Register for FREE Infosec Webcasts, Anti-casts & Summits –

    https://poweredbybhis.com



    Brought to you by:

    Black Hills Information Security

    https://www.blackhillsinfosec.com


    Antisyphon Training

    https://www.antisyphontraining.com/


    Active Countermeasures

    https://www.activecountermeasures.com


    Wild West Hackin Fest

    https://wildwesthackinfest.com

    Show More Show Less
    4 mins
  • Community Q&A on AI Security | Episode 34
    Dec 18 2025

    Community Q&A on AI Security | Episode 34

    In this episode of BHIS Presents: AI Security Ops, our panel tackles real questions from the community about AI, hallucinations, privacy, and practical use cases. From limiting model hallucinations to understanding memory features and explaining AI to non-technical audiences, we dive into the nuances of large language models and their role in cybersecurity.

    We break down:

    • Why LLMs sometimes “make stuff up” and how to reduce hallucinations
    • The role of prompts, temperature, and RAG databases in accuracy
    • Prompting best practices and reasoning modes for better results
    • Legal liability: Can you sue ChatGPT for bad advice?
    • Memory features, data retention, and privacy trade-offs
    • Security paranoia: AI apps, trust, and enterprise vs free accounts
    • Practical examples like customizing AI for writing style
    • How to explain AI to your mom (or any non-technical audience)
    • Why AI isn’t magic—just math and advanced auto-complete


    Whether you’re deploying AI tools or just curious about the hype, this episode will help you understand the realities of AI in security and how to use it responsibly.

    Chapters

    • (00:00) - Welcome & Sponsor Shoutouts
    • (00:50) - Episode Overview: Community Q&A
    • (01:19) - Q1: Will ChatGPT Make Stuff Up?
    • (07:50) - Q2: Can Lawyers Sue ChatGPT for False Cases?
    • (11:15) - Q3: How Can AI Improve Without Ingesting Everything?
    • (22:04) - Q4: How Do You Explain AI to Non-Technical People?
    • (28:00) - Closing Remarks & Training Plug

    Brought to you by:
    Black Hills Information Security
    https://www.blackhillsinfosec.com

    Antisyphon Training
    https://www.antisyphontraining.com/

    Active Countermeasures
    https://www.activecountermeasures.com

    Wild West Hackin Fest
    https://wildwesthackinfest.com

    🔗 Register for FREE Infosec Webcasts, Anti-casts & Summits –
    https://poweredbybhis.com

    ----------------------------------------------------------------------------------------------
    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/

    Show More Show Less
    28 mins
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