This document discusses Daisy, a project to develop an open-source anomaly detection solution for large BGP/MPLS and BGP/SRv6 VPN networks. The Daisy architecture profiles customer networks, collects standard network data using protocols like IPFIX and BMP, correlates the data, detects anomalies using multiple strategies, and reports incidents to a Network Operations Center. It aims to fill gaps in IETF standards and has detected real outages in testing on service provider networks. Ongoing work includes analyzing more customer scenarios, exploring new data dimensions, and progressing standardization.