{"article":{"annotation":{"article_id":"orca-discovery-ai-natural-language-security-queries-bedrock-2026","available_at":"2026-10-15T20:48:56.613810Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"56eab6d1e99849bb974d20844c647e10e028dda5309592bc85da62e6f3ee9648","input_sha256":"19533b6911099f394ddb1d7854ec68613e9303bd9d20699728007724ed246008","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. 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The tool passes a user’s question through a schema-aware pipeline to produce valid Sonar queries, with steps for choosing relevant schemas, retrieving examples and validating the resulting filters.","AWS’s October 13 technical post says the first prototype placed the entire schema in one large prompt, using about two million input tokens per workload and taking roughly 60 seconds to respond. The production system handles thousands of queries a day at about 15 seconds per response. AWS reports reductions of 93% in token use, 90% in cost and 75% in latency compared with that initial version; these are Orca’s reported internal comparisons."],"sections":[]},"corrections":[],"country":null,"data":{"blocks":[{"description":{"ar":"شرحت AWS في 13 أكتوبر تحويل Discovery AI لدى Orca أسئلة الأمن باللغة الطبيعية إلى مرشحات Sonar.","de":"AWS beschrieb am 13. Oktober, wie Orca Discovery AI natürlichsprachliche Sicherheitsfragen in Sonar-Filter umwandelt.","en":"AWS described Orca Discovery AI’s conversion of natural-language security questions into Sonar filters on October 13.","es":"El 13 de octubre, AWS describió cómo Orca Discovery AI convierte preguntas de seguridad en lenguaje natural en filtros Sonar.","fr":"Le 13 octobre, AWS a décrit la conversion par Orca Discovery AI des questions de sécurité en langage naturel en filtres Sonar.","pt":"Em 13 de outubro, a AWS descreveu como o Discovery AI da Orca converte perguntas de segurança em linguagem natural em filtros Sonar.","tr":"AWS, 13 Ekim’de Orca Discovery AI’ın doğal dildeki güvenlik sorularını Sonar filtrelerine dönüştürmesini anlattı."},"id":"ai-event-orca","items":[{"date":"2026-10-13","description":{"ar":"شرحت AWS في 13 أكتوبر تحويل Discovery AI لدى Orca أسئلة الأمن باللغة الطبيعية إلى مرشحات Sonar.","de":"AWS beschrieb am 13. 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artigo técnico da AWS","tr":"AWS teknik yazısının yayımlanması"},"status":"occurred"}],"methodology":{"ar":"التاريخ هو تاريخ النشر الوارد في المصدر الأولي لـ AWS؛ ولم يُستنتج موعد إطلاق أو تطبيق غير مذكور.","de":"Das Datum entspricht dem Veröffentlichungsdatum der AWS-Primärquelle; ein dort nicht genanntes Start- oder Einführungsdatum wird nicht abgeleitet.","en":"The date is the publication date shown by the AWS primary source; no launch or deployment date beyond the source is inferred.","es":"La fecha corresponde a la publicación indicada por la fuente primaria de AWS; no se infiere una fecha de lanzamiento o despliegue no indicada.","fr":"La date correspond à celle affichée par la source primaire AWS; aucune date de lancement ou de déploiement non indiquée n’est déduite.","pt":"A data é a publicação indicada pela fonte primária da AWS; não se infere uma data de lançamento ou implantação não informada.","tr":"Tarih, AWS birincil kaynağında yayımlanma tarihi olarak verilir; kaynakta belirtilmeyen bir lansman veya uygulama başlangıç tarihi çıkarımı yapılmamıştır."},"sourceUrls":["https://aws.amazon.com/blogs/machine-learning/natural-language-security-queries-at-orca-security-using-amazon-bedrock/"],"title":{"ar":"نشر المقالة التقنية لـ AWS","de":"Veröffentlichung des technischen AWS-Beitrags","en":"AWS technical post published","es":"Publicación del artículo técnico de AWS","fr":"Publication de l’article technique d’AWS","pt":"Publicação do artigo técnico da AWS","tr":"AWS teknik yazısının 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AWS says the system cut query cost by 90%, input tokens by 93% and latency by 75% against its initial design.","text":"Discovery AI converts plain-language questions into Sonar filters. AWS says the system cut query cost by 90%, input tokens by 93% and latency by 75% against its initial design.\n\nOrca Security worked with AWS on Discovery AI, a natural-language interface to its Sonar security graph, which covers more than 900 cloud and application resource models. The tool passes a user’s question through a schema-aware pipeline to produce valid Sonar queries, with steps for choosing relevant schemas, retrieving examples and validating the resulting filters.\n\nAWS’s October 13 technical post says the first prototype placed the entire schema in one large prompt, using about two million input tokens per workload and taking roughly 60 seconds to respond. The production system handles thousands of queries a day at about 15 seconds per response. 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