TypeSafe AI's Jev is a decision model designed for agentic security workflows, answering fixed-choice questions with probabilities instead of generated text. In a proof of concept for alert triage, Jev filtered 15-33% of alerts with 98% accuracy while reducing latency and cost by handling multiple decisions in parallel at 70x cheaper per token than frontier LLMs.