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Azure AI Foundry Guardrails | Episode 27
In this episode of BHIS Presents: AI Security Ops, we explore how to configure content filters for AI models using the Azure AI Fooundry guardrails and controls interface. Whether you're building secure demos or deploying models in production, this walkthrough shows how to block unwanted content, enforce policy, and maintain compliance.
Topics Covered:
This video is ideal for developers, security engineers, and anyone working with AI systems who needs to implement layered defenses and ensure responsible model behavior.
Why This Matters
By implementing layered security—block lists, input and output filters—you protect sensitive data, comply with policy, and maintain a safe user experience.
#AIsecurity #GuardrailsAndControls #ContentFiltering #PromptSecurity #RegexFiltering #BHIS #AIModelSafety #SystemPromptSecurity
Brought to you by Black Hills Information SecurityÂ
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/