The Semantic Interceptor: Controlling Intent, Not Just Words
Traditional keyword filters operate on tokens that have already been generated. An agent produces toxic output, the filter catches it, but the model has already burned compute cycles and corrupted the system state. The moment is lost. The user has seen something problematic, or the downstream process has absorbed bad data.
Semantic Layers: The Operating System for Agentic AI
Two procurement agents receive the same purchase request: "Order 500 units of Product X from the approved supplier list." The first agent; operating without semantic grounding; searches by keyword, finds a vendor match, and places the order. The second agent, equipped with a semantic layer, cross-references the product specification against compliance requirements, verifies the supplier's certification status has not expired, and checks whether the quantity aligns with current inventory policy thresholds. Only one makes the right decision.