Kibana 7.2 has introduced a new query bar in its Machine Learning app to facilitate searching anomaly results for specific influencers, enhancing the analysis of datasets, particularly when certain fields are not prominently displayed in the results view. This feature is beneficial in detecting unusual activities, such as potential web attacks, by analyzing anonymized data—like the NGINX web access logs—where atypical user behavior can be identified through unusually high event rates. The query bar allows users to input searches in KQL syntax, supports wildcard queries, and offers auto-suggestions for influencer field names and values, which simplifies the process of narrowing down results to specific influencers. By enabling users to search through anomalies more efficiently, the query bar enhances navigation and usability, offering a more refined focus on potential issues within large datasets. Elastic encourages users to try this feature with a free 14-day trial of the Elasticsearch Service and invites them to engage in discussions on their machine learning forum.