New Expel AI upgrade: “Pop the hood” on our detection strategies

Expel announces a new AI Detection Explainability feature that breaks apart bundled detection rule containers into explicit sub-detections with human-readable names and plain-English descriptions generated by LLMs, enabling customers to see rule counts, understand trigger criteria, and better verify and maintain their detections; the update emphasizes improved transparency, security health, and privacy-first guardrails (self-hosted/self-managed systems) to prevent data leakage.