{"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. Unknown country/city/coordinates remain absent; no automatic geocoding.","Article geometries keep their stated precision and methodology; reproducing them is not independent coordinate verification."],"method":"controlled-rules-v1","places":[],"rules_sha256":"fb5ad3c27c91cb840f7a0a05f7f64a5cb26ad0374409ff9457f277c7092e22b4","schema_version":1,"subjects":[{"concept_id":"medtop:20001298","confidence":null,"confidence_method":null,"evidence":[{"field":"en.title+en.summary","language":"en","note":"Subject suggested from the title or summary: AI","source_urls":["https://aws.amazon.com/blogs/machine-learning/natural-language-security-queries-at-orca-security-using-amazon-bedrock/"]}],"method":"controlled-rules-v1","rule_id":"artificial-intelligence","status":"candidate"}],"taxonomy_revision":"1f2db31d811fca07e99b16d402c10e2cc2965c9df1c7b41d9be348b40a24e7fb","taxonomy_version":"IPTC Media Topics 2026-Q2"},"api_url":"https://newsverum.com/api/v1/articles/orca-discovery-ai-natural-language-security-queries-bedrock-2026?lang=de","category":"technology","content":{"key_points":[],"paragraphs":["Orca Security entwickelte gemeinsam mit AWS Discovery AI als natürlichsprachliche Schnittstelle zu seinem Sonar-Sicherheitsgraphen, der mehr als 900 Cloud- und Anwendungsressourcenmodelle abdeckt. Das Werkzeug verarbeitet eine Frage in einer schema-bewussten Pipeline und erstellt gültige Sonar-Abfragen. Dazu gehören die Auswahl passender Schemata, das Abrufen von Beispielen und die Prüfung der erzeugten Filter.","Der technische AWS-Beitrag vom 13. Oktober berichtet, dass der erste Prototyp das gesamte Schema in einen großen Prompt lud und etwa zwei Millionen Eingabe-Tokens je Arbeitslast sowie rund 60 Sekunden Antwortzeit benötigte. Das Produktivsystem verarbeitet täglich Tausende Abfragen mit ungefähr 15 Sekunden Antwortzeit. AWS nennt gegenüber dieser Ausgangsversion Rückgänge von 93 Prozent beim Tokenverbrauch, 90 Prozent bei den Kosten und 75 Prozent bei der Latenz; es handelt sich um interne Vergleiche von Orca."],"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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Laut AWS sanken Abfragekosten um 90 Prozent, Eingabe-Tokens um 93 Prozent und die Latenz um 75 Prozent gegenüber dem ersten Entwurf.","text":"Discovery AI wandelt Fragen in Alltagssprache in Sonar-Filter um. Laut AWS sanken Abfragekosten um 90 Prozent, Eingabe-Tokens um 93 Prozent und die Latenz um 75 Prozent gegenüber dem ersten Entwurf.\n\nOrca Security entwickelte gemeinsam mit AWS Discovery AI als natürlichsprachliche Schnittstelle zu seinem Sonar-Sicherheitsgraphen, der mehr als 900 Cloud- und Anwendungsressourcenmodelle abdeckt. Das Werkzeug verarbeitet eine Frage in einer schema-bewussten Pipeline und erstellt gültige Sonar-Abfragen. Dazu gehören die Auswahl passender Schemata, das Abrufen von Beispielen und die Prüfung der erzeugten Filter.\n\nDer technische AWS-Beitrag vom 13. Oktober berichtet, dass der erste Prototyp das gesamte Schema in einen großen Prompt lud und etwa zwei Millionen Eingabe-Tokens je Arbeitslast sowie rund 60 Sekunden Antwortzeit benötigte. Das Produktivsystem verarbeitet täglich Tausende Abfragen mit ungefähr 15 Sekunden Antwortzeit. AWS nennt gegenüber dieser Ausgangsversion Rückgänge von 93 Prozent beim Tokenverbrauch, 90 Prozent bei den Kosten und 75 Prozent bei der Latenz; es handelt sich um interne Vergleiche von Orca.","title":"Orca übersetzt natürliche Sprache mit Bedrock in Cloud-Sicherheitsabfragen","topics":[],"translations":[{"api_url":"https://newsverum.com/api/v1/articles/orca-discovery-ai-natural-language-security-queries-bedrock-2026?lang=tr","language":"tr","url":"https://newsverum.com/tr/news/orca-discovery-ai-natural-language-security-queries-bedrock-2026"},{"api_url":"https://newsverum.com/api/v1/articles/orca-discovery-ai-natural-language-security-queries-bedrock-2026?lang=en","language":"en","url":"https://newsverum.com/en/news/orca-discovery-ai-natural-language-security-queries-bedrock-2026"},{"api_url":"https://newsverum.com/api/v1/articles/orca-discovery-ai-natural-language-security-queries-bedrock-2026?lang=ar","language":"ar","url":"https://newsverum.com/ar/news/orca-discovery-ai-natural-language-security-queries-bedrock-2026"},{"api_url":"https://newsverum.com/api/v1/articles/orca-discovery-ai-natural-language-security-queries-bedrock-2026?lang=fr","language":"fr","url":"https://newsverum.com/fr/news/orca-discovery-ai-natural-language-security-queries-bedrock-2026"},{"api_url":"https://newsverum.com/api/v1/articles/orca-discovery-ai-natural-language-security-queries-bedrock-2026?lang=es","language":"es","url":"https://newsverum.com/es/news/orca-discovery-ai-natural-language-security-queries-bedrock-2026"},{"api_url":"https://newsverum.com/api/v1/articles/orca-discovery-ai-natural-language-security-queries-bedrock-2026?lang=de","language":"de","url":"https://newsverum.com/de/news/orca-discovery-ai-natural-language-security-queries-bedrock-2026"},{"api_url":"https://newsverum.com/api/v1/articles/orca-discovery-ai-natural-language-security-queries-bedrock-2026?lang=pt","language":"pt","url":"https://newsverum.com/pt/news/orca-discovery-ai-natural-language-security-queries-bedrock-2026"}],"url":"https://newsverum.com/de/news/orca-discovery-ai-natural-language-security-queries-bedrock-2026"},"version":"1"}
