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style=\"padding-top: 8.0px;\"\u003EGrundlagen\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-02"},"title_v2":{"id":"title-v2-35e7290ff0","additionalClasses":"hub-hero__headline","type":"heading1","lines":["Datenschutz: Wie Governance-Kontrollen sensible Daten schützen"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text":{"id":"text-9f3e2c19b4","additionalClasses":"hub-hero__subheadline","text":"\u003Cp\u003EDatenschutz erfordert mehr als nur schriftliche Richtlinien. Erfahren Sie, wie Governance-Kontrollen Unternehmen dabei helfen, personenbezogene und sensible Daten in den Bereichen Zugriff, Storage, Aufbewahrung, Compliance und KI-Nutzung zu schützen.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"container":{"additionalClasses":"hub-hero__authors","columnClassNames":{"content_chip_copy":"aem-GridColumn aem-GridColumn--default--12","content_chip_1766711":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 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text-color-text-05"},"text":{"id":"text-7184fcc8b3","additionalClasses":"related-topics ","text":"\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/de/data-governance/data-privacy/data-anonymization/\"\u003EDatenanonymisierung\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/de/data-governance/data-privacy/data-masking/\"\u003EDatenmaskierung\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/de/data-governance/data-privacy/data-tokenization/\"\u003EDatentokenisierung\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["text_894059747","text"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false},"flexible_column_cont_549182334":{"id":"flexible-column-container-b361796bd2","propertiesId":"hub-body","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"longform-content","layout":"SIMPLE","id":"hub-body-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"text":{"id":"text-04cba86064","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EDATENSCHUTZ DEFINIERT\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EDatenschutz bezeichnet die Praxis, personenbezogene und sensible Daten zu schützen, indem präzise geregelt wird, wie diese erhoben, genutzt, weitergegeben, aufbewahrt und gelöscht werden. Im Mittelpunkt steht dabei, Organisationen klare Regeln für einen verantwortungsvollen Umgang mit Daten an die Hand zu geben und gleichzeitig Einzelpersonen vor unbefugtem Zugriff, Missbrauch oder der Offenlegung ihrer personenbezogenen Daten zu schützen.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text_316372534":{"id":"text-1398aad193","text":"\u003Cp\u003EEine Datenschutzregel erscheint in der Theorie einfach: Verwenden Sie sensible Daten nur für genehmigte Zwecke, speichern Sie sie angemessen, beschränken Sie den Zugriff auf autorisierte Benutzer und löschen Sie sie, wenn sie nicht mehr benötigt werden. Doch diese Regeln lassen sich in einer großen, vernetzten Datenlandschaft nur schwer durchzusetzen, in der dieselbe Tabelle gleichzeitig Analysen, Reporting, Anwendungs-Workflows und KI-Anwendungsfälle für verschiedene Geschäftsbereiche in mehreren Rechtsräumen speisen kann.\u003C/p\u003E\r\n\u003Cp\u003EAus diesem Grund ist effektiver Datenschutz auf \u003Ca href=\"https://snowflake.com/de/data-governance/\"\u003EData-Governance\u003C/a\u003E-Kontrollen angewiesen. Unternehmen benötigen eine Möglichkeit, sensible Daten aufzufinden und zu klassifizieren, den Zugriff einzuschränken, die Zweckbindungen zu wahren, Aufbewahrungsvorschriften anzuwenden und die weitere Verwendung nachzuverfolgen, selbst wenn Daten ihren ursprünglichen Kontext verlassen.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_what-is-data-governance-for-privacy-compliance":{"id":"title-v2-f0bf9443bd","additionalClasses":"anchor-title anchor-title--what-is-data-governance-for-privacy-compliance","type":"heading2","lines":["Was bedeutet Data Governance für die Privacy Compliance?"],":type":"snowflake-site/components/title-v2"},"text_what-is-data-governance-for-privacy-compliance_0":{"id":"text-58791e5b20","text":"\u003Cp\u003EDatenschutz bietet Unternehmen klare Regeln für den verantwortungsvollen Umgang mit Daten und schützt gleichzeitig Einzelpersonen vor unbefugtem Zugriff, Missbrauch oder der Offenlegung ihrer personenbezogenen Daten. In einer Unternehmensdatenumgebung hängt der Datenschutz sowohl von den Richtlinien als auch von deren Durchsetzung ab. Eine Datenschutzrichtlinie kann definieren, wie Daten von Kunden, Mitarbeitern oder Patienten behandelt werden sollen. Diese Vorgaben greifen jedoch nur dann, wenn sie in Governance-Kontrollen über all jene Systeme hinweg übersetzt werden, in denen Daten gespeichert, abgefragt, geteilt und verarbeitet werden.\u003C/p\u003E\r\n\u003Cp\u003EAus diesem Grund ist Data Governance die Grundlage für den Datenschutz. Data Governance deckt das Betriebsmodell für Daten als Ganzes ab: Qualität, Data Ownership, Herkunft, Zugriff, Lebenszyklusmanagement und die Durchsetzung von Richtlinien in der gesamten Datenlandschaft. Governance-Praktiken helfen Unternehmen bei der Beantwortung praktischer Datenschutzfragen: Wo genau liegen personenbezogene Daten? Wer kann darauf zugreifen? Welche Nutzungen sind zulässig? Wie lange müssen diese Daten aufbewahrt werden? Was passiert, wenn ein formaler Antrag auf Löschung eingeht?\u003C/p\u003E\r\n\u003Cp\u003EEin \u003Ca href=\"https://snowflake.com/de/data-governance/data-catalog/\"\u003EDatenkatalog\u003C/a\u003E kann einem Team mitteilen, wo sich eine E-Mail-Spalte von Kunden liegt und welche Dashboards diese Daten nutzen. Datenschutzkontrollen gehen noch einen Schritt weiter und legen fest, ob diese Spalte für Marketingzwecke verwendet werden darf, ob die Einwilligung diese Nutzung abdeckt, wer die Rohwerte einsehen darf, wie lange die Daten aufbewahrt werden sollen und was passiert, wenn ein formaler Antrag auf Löschung eingeht. Es ist essenziell, dass Privacy Governance richtig dimensioniert ist, da sie in der Regel mit geltenden Vorschriften wie \u003Ca href=\"https://gdpr.eu/what-is-gdpr/\"\u003EDSGVO\u003C/a\u003E, \u003Ca href=\"https://oag.ca.gov/privacy/ccpa\"\u003ECCPA\u003C/a\u003E und \u003Ca href=\"https://www.hhs.gov/hipaa/index.html\"\u003EHIPAA\u003C/a\u003E in Einklang gebracht werden muss, abhängig von der Gerichtsbarkeit und dem Anwendungsfall.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_5-core-components-of-a-governance-policy-for-data-privacy":{"id":"title-v2-7a475fd1d5","additionalClasses":"anchor-title anchor-title--5-core-components-of-a-governance-policy-for-data-privacy","type":"heading2","lines":["5 Kernkomponenten einer Governance-Richtlinie für den Datenschutz"],":type":"snowflake-site/components/title-v2"},"text_2070687463":{"id":"text-8bf897d32b","text":"\u003Cp\u003EEine Datenschutzrichtlinie definiert in der Regel die Kontrollen, die zum Schutz personenbezogener und sensibler Daten erforderlich sind. In den meisten Unternehmen bedeutet dies, sich auf fünf Kernbereiche zu konzentrieren: Erkennung und Klassifizierung, zulässige Verwendung, Zugriffsdurchsetzung, Datenaufbewahrung sowie kontinuierliches Monitoring.\u003C/p\u003E\r\n\u003Ch3\u003E1. Data Discovery und Klassifizierung\u003C/h3\u003E\r\n\u003Cp\u003EDatenschutz beginnt damit, zu wissen, welche personenbezogenen Daten vorhanden sind, wo sie gespeichert sind, wie sensibel sie sind und wie sie sich innerhalb der Umgebung bewegen. Eine Richtlinie sollte klar definieren, wie personenbezogene und sensible Daten \u003Ca href=\"https://www.snowflake.com/de/product/features/horizon/\"\u003Eidentifiziert, klassifiziert und gekennzeichnet\u003C/a\u003E werden, damit Entwicklungsteams downstream direkt die passenden Kontrollen anwenden können. Dies ist eine grundlegende Voraussetzung. Ein Unternehmen kann für Daten, die es weder auffinden noch von weniger sensiblen Informationen unterscheiden kann, keine effektive Data Governance umsetzen.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_599301257":{"id":"text-a53047008d","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EQUICK-TIPP\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EBeginnen Sie Ihre Datenschutzmaßnahmen mit der Datenermittlung und -klassifizierung, damit sensible Informationen über alle Analyse- und KI-Workloads hinweg einheitlich gekennzeichnet, überwacht und geschützt werden können. Datenschutzrichtlinien lassen sich viel einfacher durchsetzen, wenn Kontrollen für Zugriff, Maskierung und Datenaufbewahrung direkt auf der Data Layer angewendet werden.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text_5-core-components-of-a-governance-policy-for-data-privacy_0":{"id":"text-64aab8b607","text":"\u003Ch3\u003E2. Zweckbindung und Einwilligung\u003C/h3\u003E\r\n\u003Cp\u003EEine Datenschutzrichtlinie sollte definieren, warum personenbezogene Daten erhoben werden, welche Verwendungszwecke explizit zulässig sind und wie diese dokumentiert werden. Die Richtlinie sollte auch regeln, wie Einwilligungen erfasst, wie Widerrufe gehandhabt werden und welche Prozesse greifen, wenn ein Team Daten für Zwecke nutzen möchte, die außerhalb der ursprünglichen Rechtsgrundlage liegen.\u003C/p\u003E\r\n\u003Cp\u003EIn Deutschland gilt neben der \u003Ca href=\"https://dsgvo-gesetz.de/\"\u003EDSGVO\u003C/a\u003E das Bundesdatenschutzgesetz (\u003Ca href=\"https://dsgvo-gesetz.de/bdsg/\"\u003EBDSG\u003C/a\u003E), das zusätzliche Anforderungen für die Datenverarbeitung in Unternehmen festlegt. Betriebe, die bestimmte Schwellenwerte überschreiten, sind gemäß BDSG § 38 verpflichtet, einen Datenschutzbeauftragten (DSB) zu bestellen.\u003C/p\u003E\r\n\u003Ch3\u003E3. Zugriffskontrolle und Datenmaskierung\u003C/h3\u003E\r\n\u003Cp\u003ENicht jeder Nutzer, jede Rolle oder jeder Workload sollten denselben Zugriff auf personenbezogene Daten haben. Eine Datenschutzrichtlinie sollte festlegen, wer Klartextwerte einsehen darf, wann Daten maskiert werden müssen und wie Zugriffsrechte erteilt, auditiert und kontinuierlich angepasst werden. Diese Kontrollen übersetzen abstrakte Datenschutzanforderungen in durchsetzbare Beschränkungen auf dem Data Layer.\u003C/p\u003E\r\n\u003Ch3\u003E4. Datenaufbewahrung und -löschung\u003C/h3\u003E\r\n\u003Cp\u003EDie DSGVO gewährt betroffenen Personen konkrete Rechte: das Auskunftsrecht (Art. 15), das Recht auf Löschung – auch bekannt als „Recht auf Vergessenwerden" (Art. 17) –, das Berichtigungsrecht (Art. 16) sowie das Widerspruchsrecht (Art. 21). Eine Governance-Richtlinie muss Prozesse definieren, wie das Unternehmen auf solche Anträge fristgerecht reagiert.\u003C/p\u003E\r\n\u003Cp\u003EIn den Datenschutzrichtlinien sollte festgelegt werden, wie lange personenbezogene Daten aufbewahrt werden, wann sie archiviert werden sollen und wie sie gelöscht werden, sobald die Aufbewahrungsfrist abgelaufen ist oder ein gültiger Antrag auf Löschung eingegangen ist. Dies hilft Unternehmen dabei, operative Datenpraktiken mit Datenschutzverpflichtungen in Einklang zu bringen, und verringert das Risiko, dass personenbezogene Daten länger als nötig aufbewahrt werden, nur weil sie technisch verfügbar bleiben.\u003C/p\u003E\r\n\u003Ch3\u003E5. Monitoring und Audit\u003C/h3\u003E\r\n\u003Cp\u003EEine Datenschutzrichtlinie sollte festlegen, wie der Zugriff auf personenbezogene Daten nachverfolgt wird, wie Ausnahmen überprüft werden und wie das Unternehmen bei Verdacht auf Missbrauch oder Richtlinienverstöße ermittelt. Kontinuierliches Monitoring und Auditierbarkeit sind wichtig, da ein Unternehmen im Rahmen eines Audits, einer Untersuchung oder einer Überprüfung von Vorfällen nachweisen können muss, dass der Zugriff auf personenbezogene Daten im Einklang mit den Richtlinien erfolgte.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_data-privacy-governance-in-the-ai-era":{"id":"title-v2-846e5fba30","additionalClasses":"anchor-title anchor-title--data-privacy-governance-in-the-ai-era","type":"heading2","lines":["Datenschutz im Zeitalter der KI"],":type":"snowflake-site/components/title-v2"},"text_data-privacy-governance-in-the-ai-era_0":{"id":"text-f51170e496","text":"\u003Cp\u003EKI erhöht den Druck, da sie sowohl die Einsatzmöglichkeiten personenbezogener Daten als auch die Schwierigkeit, diese Verwendungen nachzuverfolgen, vergrößert. Daten, die für den Kundenservice oder die Transaktionsverarbeitung erhoben wurden, können später für das Modelltraining, Prompt Grounding, Feature Engineering oder die automatisierte Entscheidungsunterstützung vorgeschlagen werden. Eine Datenschutzrichtlinie sollte klären, ob diese Verwendung gemäß den geltenden Unternehmensrichtlinien und gesetzlichen Vorgaben zulässig ist, ob sie durch eine Benachrichtigung oder Einwilligung abgedeckt ist und welche Kontrollmaßnahmen gelten, bevor die Daten überhaupt einen KI-Workload erreichen.\u003C/p\u003E\r\n\u003Cp\u003EDies ist in der Richtlinienlandschaft nicht nur hypothetisch. Das \u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://artificialintelligenceact.eu/\"\u003EEU-KI-Gesetz\u003C/a\u003E trat am 1. August 2024 in Kraft, und die Umsetzung ist bereits im Gange: Verbote bestimmter KI-Praktiken traten im Februar 2025 in Kraft, Verpflichtungen für Allzweck-KI-Modelle folgten im August 2025, und Anforderungen für KI-Systeme mit hohem Risiko werden voraussichtlich zwischen 2026 und 2027 schrittweise eingeführt. Der \u003Ca href=\"https://www.edpb.europa.eu/edpb_de\"\u003EEuropäischer Datenschutzausschuss (EDSA)\u003C/a\u003E dokumentiert weiterhin die aufkommenden KI-Governance-Aktivitäten auf Bundesstaatsebene.\u003C/p\u003E\r\n\u003Cp\u003EDie Überschneidung zwischen Datenschutz und KI-Governance ist mittlerweile so groß, dass die meisten Unternehmen eine Abstimmung zwischen beiden Bereichen benötigen. Für die Verfasser von Governance-Richtlinien sind die praktischen Konsequenzen klar. 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Die Richtlinie muss Zweck, Zugriff, Aufbewahrung und Rechte auf einer Ebene definieren, hinter der Rechts- und Compliance-Teams stehen können, aber sie muss diese Anforderungen auch an die Systeme knüpfen, die Daten klassifizieren, Maskierungen durchsetzen, den Zugriff einschränken und Vorgänge protokollieren.\u003C/p\u003E\n\u003Cp\u003EData Governance liefert das notwendige Operating Model für diese Kontrollen. Sie hilft Unternehmen, Datenschutzanforderungen in einheitliche Regeln für den gesamten Datenbestand umzuwandeln, einschließlich der KI-Workflows, die derzeit die Verarbeitung personenbezogener Daten neu gestalten.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"text_1577174200":{"id":"text-15a480e4ed","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EWICHTIGSTE ERKENNTNISSE\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EData Governance überführt abstrakte Datenschutzanforderungen in direkt durchsetzbare Kontrollen auf dem Data Layer. Sie definiert präzise, wie personenbezogene Daten im Rahmen einer umfassenden Governance-Strategie klassifiziert, wie Zugriffe geregelt, Aufbewahrungsfristen eingehalten und Aktivitäten lückenlos überwacht werden. Da KI die Nutzungsmöglichkeiten sensibler Daten erweitert, benötigen Unternehmen zudem Datenschutzrichtlinien, die das Training und die Inferenz von KI sowie die Einhaltung gesetzlicher Vorschriften berücksichtigen und gleichzeitig einheitliche Kontrollmaßnahmen für Analyse- und KI-Workflows gewährleisten.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"}},":itemsOrder":["text","text_316372534","title_what-is-data-governance-for-privacy-compliance","text_what-is-data-governance-for-privacy-compliance_0","title_5-core-components-of-a-governance-policy-for-data-privacy","text_2070687463","text_599301257","text_5-core-components-of-a-governance-policy-for-data-privacy_0","title_data-privacy-governance-in-the-ai-era","text_data-privacy-governance-in-the-ai-era_0","title_governance-policies-must-make-privacy-enforceable","text_governance-policies-must-make-privacy-enforceable_0","text_1577174200"]},"flexible_column_content_container_2":{"additionalClasses":"hub-sidebar","layout":"SIMPLE","id":"hub-body-aside",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"container":{"additionalClasses":"sticky-sidebar","columnClassNames":{"text_943981956_copy_":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-377b4a6fb0",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"text_943981956_copy_":{"id":"text-3bdf53bf78","additionalClasses":"eyebrow-text","text":"\u003Cp\u003EIn diesen Grundlagen\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"},"text_copy":{"id":"text-b81bbfbef6","additionalClasses":"page-toc","text":"\u003Cul\u003E\n\u003Cli data-anchor=\"what-is-data-governance-for-privacy-compliance\"\u003EWas bedeutet Data Governance für die Privacy Compliance?\u003C/li\u003E\n\u003Cli data-anchor=\"5-core-components-of-a-governance-policy-for-data-privacy\"\u003E5 Kernkomponenten einer Governance-Richtlinie für den Datenschutz\u003C/li\u003E\n\u003Cli data-anchor=\"data-privacy-governance-in-the-ai-era\"\u003EDatenschutz im Zeitalter der KI\u003C/li\u003E\n\u003Cli data-anchor=\"governance-policies-must-make-privacy-enforceable\"\u003EGovernance-Richtlinien müssen den Datenschutz operativ erzwingen\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-05"}},":itemsOrder":["text_943981956_copy_","text_copy"]}},":itemsOrder":["container"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false},"flexible_column_cont_132267907":{"id":"flexible-column-container-494cc52a4a","propertiesId":"hub-faq","type":"2-column-40-60","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-large","bottomPadding":"large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"hub-faq-intro",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2_copy":{"id":"title-v2-b7133aeaea","additionalClasses":"hub-faq__headline","type":"heading2","lines":["Häufig gestellte Fragen"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text_copy":{"id":"text-f32bbd760c","additionalClasses":"hub-faq__subheadline","text":"\u003Cp\u003EIhre häufigsten Fragen zum Datenschutz – beantwortet von Snowflake-Expert:innen\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2_copy","text_copy"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"hub-faq-accordions",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"simple_snowflake_acc":{"id":"simple-snowflake-accordion-1c36aa732a","additionalClasses":"seo-hub__faqs","showDivider":false,"accordionItemsList":[{"title":"Was ist der Unterschied zwischen Datenschutz und Data Governance?","richText":"\u003Cp\u003EData Governance umfasst die allgemeine Art und Weise, wie eine Organisation Daten verwaltet, einschließlich Qualität, Eigentumsverhältnisse, Zugriff, Lebenszyklusmanagement und Rechenschaftspflicht. 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Das Ziel ist es, Datenschutzregeln in den Systemen durchsetzbar zu machen, in denen die Daten tatsächlich abgefragt, geteilt und verarbeitet werden.\u003C/p\u003E\r\n"},{"title":"Wie wirkt sich Data Privacy Governance auf das KI-Training aus?","richText":"\u003Cp\u003EEs unterstützt Unternehmen dabei, zu beurteilen, ob sensible personenbezogene Daten in Trainingsdaten-Sets gemäß den geltenden Datenschutzprinzipien wie der Zweckbindung und den sich weiterentwickelnden rechtlichen Rahmenbedingungen – einschließlich des EU-KI-Gesetzes – ausgeschlossen, minimiert oder pseudonymisiert werden sollten.\u003C/p\u003E\r\n"},{"title":"Was sind die Vorteile einer zentralisierten Datenschutzrichtlinie?","richText":"\u003Cp\u003EDie Zentralisierung kann eine konsistentere Durchsetzung in Multi-Cloud-Umgebungen unterstützen, reduziert das Risiko von Compliance-Lücken und vereinfacht den Prozess der Beantwortung von Auskunftsersuchen betroffener Personen 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