Hidden Risks of Jev: An Empirical Study of Security, Privacy, and Dual Use

Excerpt

arXiv:2610.04985v1 Announce Type: cross Abstract: Jev turns natural-language questions into typed answers and probabilities with low latency and cost, enabling applications to route requests and select tools. While this interface allows Jev to integrate naturally into application workflows as a decision layer, the security and privacy implications of this emerging use remain largely unexplored. To address this gap, we conduct the first systematic study of these implications using the official Je