Agentic AI Security Needs Filtered IPO
Prompt injection is often an architecture problem, not just a cybersecurity problem. Filtered Input-Process-Output (Filtered IPO) adapts the classic IPO model for agentic AI by separating raw input, reasoning, governance, and execution with deterministic filters. The goal is to stop raw content from flowing freely through the workflow, pass only clean structured data and safe references between layers, and contain failures before they reach tools, payments, records, or other real-world actions.
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