Rego

← Previous Chapter: Part 8: Intelligent Order Release | Series Hub | Next Chapter: Part 10: Warehouse Picker Routing Optimization → Prerequisite: Graph theory fundamentals (chromatic number, vertex coloring, conflict graphs), declarative policy languages (Rego / OPA), and regulatory logistics compliance. Answer-first: Handling complex physical and regulatory SKU incompatibilities during order fulfillment requires combining formal graph theory with declarative policy engines. Representing co-packaging conflicts as undirected graphs solved via the DSATUR vertex coloring algorithm, integrated with Open Policy Agent Rego rules, guarantees zero hazardous material co-location, strict cold-chain compliance, and minimal carton usage within sub-12ms execution budgets. ...

Answer-first: As AI agents gain autonomous tool execution privileges (reading databases, modifying infrastructure, pushing code), the security perimeter shifts from network boundaries to Instruction Integrity. Modern AI Security Engineering establishes Seven Layers of Defense, enforcing the Dual-LLM Pattern for indirect prompt injection immunity, Policy-as-Code (OPA/Rego) for runtime authorization, and Zero Data Retention (ZDR) compliance. Prerequisite: Proficiency in Go 1.25+, Linux container namespaces (cgroups v2, seccomp), cryptographic primitives (HMAC-SHA256, Ed25519), and Open Policy Agent (OPA/Rego). ...