A logic layer is the governed part of an AI or application stack that contains business rules, calculators, decision tables, and workflows. Instead of asking a model to invent an answer from context, the system routes the request through explicit logic that produces organization-specific results. This makes outputs more consistent, testable, and easier to audit.
In cyber security, the logic layer matters because it separates reasoning from action. A model may explain a policy, but the logic layer enforces it, helping block prompt injection, fraud, and unsafe automation. For example, it can verify permissions, validate inputs, apply least privilege, and require approval before triggering downstream actions. Defenders use it to keep sensitive decisions deterministic and reviewable; attackers target systems where business rules live only in prompts, spreadsheets, or human memory, because those controls are easier to bypass.