Episode 54 — Build Prompt Firewalls: Filtering, Classification, and Instruction Boundary Checks
This episode teaches prompt firewalls as a practical defense pattern, because SecAI+ scenarios often involve untrusted user input, untrusted documents, and integrated retrieval where malicious strings can be introduced deliberately or accidentally. You will learn what a prompt firewall is intended to do, including filtering high-risk content, classifying intent, and enforcing instruction boundaries so external text is treated as data rather than as directives the system should obey. We will connect these checks to real examples like prompt injection hidden inside documents, user attempts to bypass policy with social engineering language, and tool outputs that contain adversarial content meant to override constraints. You will also learn how to implement boundary checks that preserve useful user context while stripping or isolating instruction-like segments, and how to structure prompts so policy constraints remain dominant even when retrieved content is long or persuasive. Troubleshooting topics include balancing false positives that block legitimate work, handling multilingual or obfuscated injection attempts, and ensuring the firewall is applied consistently across chat, retrieval, and tool pipelines rather than only at the front door. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
