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Understanding exactly how AI interprets information is foundational to exploring reliable AI automations and usage. In this educational video, we explore "Indirect Prompt Injection." This is a communication breakdown where an AI mistakes hidden data, like an invisible line of text in an email or a website for a direct instruction. Using the lighthearted LinkedIn "Flan Incident" as an example, we break down why this happens and explore the theoretical frameworks used to secure workflows. We examine the concepts behind an AI Firewall, the Principle of Least Privilege, and the "Human in the Loop" model, helping you understand how systems are designed to trust, but verify, an AI's work. Sign Up To Our Newsletter here👇 https://mailchi.mp/6a0259fcdfb5/subsc... 🎓 PROFESSIONAL BEST PRACTICES: We believe in "Building Safely." All demonstrations in this video are performed in controlled demonstration environments (such as Sandboxes, developer tenants, or non-production accounts) to show you the art of the possible. ⚠️ IMPORTANT SAFETY WARNING: Real-world systems are fragile. Never implement code, flows, or configuration changes directly into a live Production environment. Test thoroughly in a Sandbox or isolated test environment first. Back up your data before making changes. Consult a certified professional regarding your specific setup. ⚖️ LEGAL DISCLAIMER: This video is educational content subject to Arkitas Solutions' Terms of Service. By viewing this content, you agree to the Conditions of Use found at: arkitas.com.au/terms-of-service (Section 1.7). Arkitas Solutions assumes no liability for damage or data loss resulting from reliance on this content and does not constitute professional cybersecurity or architectural advice. Mention of third-party platforms (e.g., Salesforce, Google) does not imply affiliation or endorsement.