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aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"what-gdpr-requires-from-data-governance",":type":"snowflake-site/components/container",":items":{"text":{"id":"text-8873e43c75","text":"\u003Cp\u003EIl GDPR indica alle organizzazioni cosa devono fare con i dati personali, ma non prescrive un \u003Ca href=\"https://www.snowflake.com/it/fundamentals/data-governance/framework/\"\u003Eframework di governance dei dati\u003C/a\u003E né un modello operativo. Questa scelta è intenzionale: il GDPR è stato concepito per applicarsi a settori, organizzazioni di diverse dimensioni e ambienti tecnici troppo eterogenei per adottare un unico approccio prestabilito. Il regolamento definisce i risultati richiesti, non i metodi da adottare.\u003C/p\u003E\n\u003Cp\u003EPer ottenere questi risultati, le organizzazioni hanno bisogno di più di una semplice \u003Ca href=\"https://www.snowflake.com/it/fundamentals/data-governance/policy/\"\u003Epolicy\u003C/a\u003E. Una \u003Ca href=\"https://www.snowflake.com/it/fundamentals/data-governance/\"\u003Egovernance dei dati\u003C/a\u003E efficace per il GDPR consente di identificare i dati personali detenuti da un’organizzazione, tracciarne l’utilizzo, mostrare quali controlli si applicano e produrre prove del loro funzionamento coerente nei sistemi effettivamente in uso.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_v2":{"id":"title-v2-208071d19f","type":"heading2","lines":["Cosa richiede il GDPR per la governance dei dati"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-7792ead271","text":"\u003Cp\u003EIl \u003Ca href=\"https://eur-lex.europa.eu/eli/reg/2016/679/oj/ita\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ERegolamento Generale sulla Protezione dei Dati (RGPD, più noto con l’acronimo inglese GDPR)\u003C/a\u003E è in vigore da maggio 2018. Si applica a qualsiasi organizzazione che tratti dati personali di residenti nell’UE, indipendentemente dal luogo in cui ha sede. Gli obblighi fondamentali del regolamento, conoscere i dati personali detenuti, garantirne l’esattezza e l’utilizzo esclusivo per finalità definite e proteggerli con controlli adeguati, richiedono sistemi operativi specifici. Il principio di responsabilizzazione (articolo 5, paragrafo 2) lo stabilisce esplicitamente: le organizzazioni devono poter dimostrare di rispettare i principi del GDPR, non limitarsi ad affermarlo.\u003C/p\u003E\r\n\u003Cp\u003EPolicy documentate, ruoli definiti, controlli tecnici e registri di audit devono collegare le policy al trattamento effettivo dei dati. Un \u003Ca href=\"https://www.snowflake.com/it/fundamentals/data-governance/policy/audit/\"\u003Eaudit\u003C/a\u003E trail (registro di controllo) non è facoltativo ai sensi del GDPR.\u003C/p\u003E\r\n\u003Cp\u003ESia i titolari sia i responsabili del trattamento hanno obblighi ai sensi del GDPR, anche se sui titolari ricade la responsabilità più ampia. Quando è richiesta la nomina di un responsabile della protezione dei dati, questa figura deve avere piena visibilità sulle attività di trattamento, sui controlli e sulle decisioni relative ai rischi, non essere soltanto un punto di contatto nominale.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["text","title_v2","text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_1":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_0":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"key-gdpr-articles-and-their-governance-requirements",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-fecc53421c","type":"heading2","lines":["Articoli chiave del GDPR e requisiti di governance"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-57c5e8f945","text":"\u003Cp\u003EIl modo più chiaro per comprendere cosa richiede il GDPR a un programma di governance consiste nell’associare i singoli articoli alle capacità operative che implicano.\u003C/p\u003E\n\u003Ctable\u003E\n\u003Cthead\u003E\u003Ctr\u003E\u003Cth\u003EArticolo del GDPR\u003C/th\u003E\n\u003Cth\u003ERequisito\u003C/th\u003E\n\u003Cth\u003ERisposta del programma di governance\u003C/th\u003E\n\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EArticolo 5: principi applicabili al trattamento di dati personali\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003EEsattezza, minimizzazione dei dati, limitazione della finalità e limitazione della conservazione\u003C/td\u003E\n\u003Ctd\u003EClassificazione dei dati, monitoraggio della qualità, policy di conservazione ed eliminazione e standard di trattamento basati sulle finalità\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EArticolo 25: protezione dei dati fin dalla progettazione e protezione per impostazione predefinita\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003EProtezione dei dati integrata nella progettazione del trattamento e nelle impostazioni predefinite\u003C/td\u003E\n\u003Ctd\u003EMascheramento basato su tag, accesso secondo il principio del privilegio minimo, limitazione predefinita dei dati personali ed ereditarietà delle policy\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EArticolo 30: registri delle attività di trattamento\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003ETenuta dei registri delle attività di trattamento\u003C/td\u003E\n\u003Ctd\u003ECatalogo dati, data lineage, inventario dei trattamenti e registri di titolarità\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EArticolo 32: sicurezza del trattamento\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003EMisure tecniche e organizzative adeguate\u003C/td\u003E\n\u003Ctd\u003EControllo degli accessi basato sui ruoli, crittografia, controlli a livello di colonna, monitoraggio\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EArticolo 35: valutazione d’impatto sulla protezione dei dati (DPIA)\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003EValutazione dei trattamenti ad alto rischio prima dell’implementazione\u003C/td\u003E\n\u003Ctd\u003EClassificazione del rischio, workflow per la DPIA, verifica della governance e percorso di approvazione\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EArticolo 37: designazione del responsabile della protezione dei dati\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003ENomina di un responsabile della protezione dei dati in circostanze specifiche\u003C/td\u003E\n\u003Ctd\u003ERuoli di governance definiti, percorsi di escalation, autorità di verifica e accesso ai registri\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cb\u003EArticolo 5(2): responsabilizzazione\u003C/b\u003E\u003C/td\u003E\n\u003Ctd\u003EDimostrazione della conformità ai principi del GDPR\u003C/td\u003E\n\u003Ctd\u003EAudit trail, documentazione delle policy, monitoraggio e raccolta delle evidenze\u003C/td\u003E\n\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cp\u003EQuesta corrispondenza è utile perché il GDPR è formulato come un \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-governance/policy/regulations/\"\u003Eregolamento\u003C/a\u003E, non come una guida all’implementazione. Stabilisce ciò che deve essere garantito: i dati devono essere accurati, i trattamenti devono essere registrati e gli accessi devono essere appropriati, senza specificare i sistemi o i processi necessari per far rispettare tali requisiti. Un programma di governance svolge questa funzione.\u003C/p\u003E\n\u003Cp\u003EL’articolo 25 merita particolare attenzione. La “protezione dei dati fin dalla progettazione” (privacy by design) richiede che la protezione sia integrata nel trattamento sin dall’inizio e che l’accesso ai dati personali sia limitato di default, anziché concesso di default. In termini di governance, ciò significa classificare i dati durante o in prossimità dell’ingestion, associare i controlli agli asset di dati e applicare automaticamente la logica delle policy, senza affidarsi a valutazioni umane caso per caso.\u003C/p\u003E\n\u003Cp\u003EI \u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://www.garanteprivacy.it/valutazione-d-impatto-della-protezione-dei-dati-dpia-\"\u003Erequisiti di valutazione d’impatto sulla protezione dei dati (DPIA)\u003C/a\u003E previsti dall’articolo 35 si applicano specificamente ai trattamenti ad alto rischio: monitoraggio sistematico su larga scala, categorie particolari di dati e processi decisionali automatizzati con effetti significativi. Non tutti i trattamenti richiedono una DPIA, ma un programma di governance deve prevedere un percorso chiaro per determinare quando è necessaria e sottoporla alla verifica appropriata.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_2":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"h3_title_3":"aem-GridColumn aem-GridColumn--default--12","text_1":"aem-GridColumn aem-GridColumn--default--12","text_0":"aem-GridColumn aem-GridColumn--default--12","text_3":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","h3_title_0":"aem-GridColumn aem-GridColumn--default--12","text_2":"aem-GridColumn aem-GridColumn--default--12","h3_title_1":"aem-GridColumn aem-GridColumn--default--12","h3_title_2":"aem-GridColumn aem-GridColumn--default--12","text_4":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"building-a-gdpr-ready-governance-program",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-df4d9e74ef","type":"heading2","lines":["Creare un programma di governance pronto per il GDPR"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-438feccbd1","text":"\u003Cp\u003EUn programma pronto per il GDPR si basa in genere su quattro pilastri fondamentali: inventario, classificazione, applicazione dei controlli di accesso e verificabilità.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_0":{"id":"title-v2-21205dec6c","type":"heading3","lines":["Inventario dei dati"],":type":"snowflake-site/components/title-v2"},"text_1":{"id":"text-a144569f2c","text":"\u003Cp\u003EI dati personali non possono essere governati se non possono essere individuati. Un inventario identifica quali dati personali esistono, dove risiedono, come si spostano tra i sistemi e quali processi aziendali li utilizzano. Supporta direttamente gli obblighi di registrazione previsti dall’articolo 30 ed è alla base di tutte le altre attività: valutazione del rischio, verifica degli accessi, decisioni sulla conservazione e risposta agli incidenti.\u003C/p\u003E\u003Cp\u003EUn \u003Ca href=\"https://www.snowflake.com/en/fundamentals/data-catalog/\"\u003Ecatalogo dati\u003C/a\u003E e le funzionalità di data lineage rendono operativo l’inventario. Una tabella contenente indirizzi email dei clienti, trascrizioni delle interazioni con l’assistenza o attributi relativi alla salute deve essere visibile non solo come oggetto tecnico, ma anche nel suo contesto: che cosa la alimenta, quali elementi alimenta e a quale finalità aziendale risponde. Le decisioni di governance dipendono dall’utilizzo effettivo dei dati, non soltanto dalla loro ubicazione.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_1":{"id":"title-v2-2099a3c8b5","type":"heading3","lines":["Classificazione e tagging"],":type":"snowflake-site/components/title-v2"},"text_2":{"id":"text-ec372c8dc1","text":"\u003Cp\u003EI principi del GDPR sono molto più facili da applicare quando ai dati personali viene assegnato un tagging coerente durante o in prossimità dell’ingestion. La classificazione fornisce il segnale da cui dipendono i controlli a valle. Una volta classificati tramite tag come personali, sensibili o di altro tipo, i dati possono essere automaticamente associati a policy di mascheramento, regole di accesso, piani di conservazione e monitoraggio. Questa è la logica operativa alla base dell’articolo 25. Il requisito consiste nell’integrare la protezione nella progettazione del trattamento sin dall’inizio.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_2":{"id":"title-v2-c4a8ed1a36","type":"heading3","lines":["Controllo degli accessi e mascheramento"],":type":"snowflake-site/components/title-v2"},"text_3":{"id":"text-6c847cc020","text":"\u003Cp\u003ELa minimizzazione dei dati deve essere applicata mediante controlli tecnici, non soltanto dichiarata in una policy. Un programma di governance deve adottare un’impostazione che limiti l’accesso di default e lo conceda in modo esplicito in base al ruolo e alla finalità dichiarata.\u003C/p\u003E\u003Cp\u003EIl \u003Ca href=\"https://www.snowflake.com/it/fundamentals/rbac/\"\u003Econtrollo degli accessi basato sui ruoli\u003C/a\u003E (RBAC), la sicurezza a livello di colonna e il mascheramento sono i meccanismi utilizzati nella pratica. È preferibile associare la policy ai dati stessi, affinché i controlli valutino il ruolo o la finalità dell’utente ed espongano soltanto ciò che l’attività richiede, senza dover ricreare le condizioni di accesso per ogni campo e ogni interrogazione.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"h3_title_3":{"id":"title-v2-c8ec0fe7a7","type":"heading3","lines":["Audit trail"],":type":"snowflake-site/components/title-v2"},"text_4":{"id":"text-667915012d","text":"\u003Cp\u003EUn programma di governance conforme al GDPR è incompleto senza evidenze. La sola esistenza di una policy non è sufficiente. Devono esistere registri che dimostrino che la policy è stata applicata agli accessi effettivi ai dati e alle attività di trattamento.\u003C/p\u003E\u003Cp\u003ELa registrazione degli accessi, la cronologia delle query e gli audit che tengono conto del data lineage forniscono tali evidenze. Se a un’organizzazione viene chiesto quali utenti abbiano interrogato una colonna contenente dati personali, se un attributo soggetto a restrizioni sia confluito in una vista a valle o quale attività di trattamento abbia supportato una determinata finalità aziendale, le risposte devono provenire dai registri, non da una ricostruzione manuale eseguita su più sistemi.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_0","h3_title_0","text_1","h3_title_1","text_2","h3_title_2","text_3","h3_title_3","text_4"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_3":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_0":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"where-snowflake-fits-in-a-gdpr-data-governance-program",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-75c770292c","type":"heading2","lines":["Il ruolo di Snowflake in un programma di governance dei dati per il GDPR"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-037f713958","text":"\u003Cp\u003ELa solidità di un programma di governance dipende dai controlli applicati nel data layer. Snowflake fornisce un livello di enforcement che consente alle organizzazioni di applicare classificazione, controlli degli accessi e registri di audit agli asset di dati, anziché mantenerli soltanto nella documentazione.\u003C/p\u003E\u003Cp\u003EIl requisito di responsabilizzazione del GDPR impone a un’organizzazione di dimostrare che i controlli vengono applicati in modo coerente ai dati reali. Una piattaforma che applica le policy al data layer in modo automatico e su larga scala rafforza e semplifica la capacità delle organizzazioni di dimostrare la conformità.\u003C/p\u003E\u003Cp\u003EAd esempio, \u003Ca href=\"https://www.snowflake.com/en/product/features/horizon/\"\u003ESnowflake Horizon\u003C/a\u003E consente la classificazione automatica dei dati sensibili, identifica i dati personali e assegna tag definiti dal sistema e dagli utenti. Il mascheramento basato su tag consente di limitare l’accesso di default, consentendo l’attuazione del requisito della “protezione dei dati fin dalla progettazione” previsto dall’articolo 25.\u003C/p\u003E\u003Cp\u003ELa sicurezza a livello di colonna e l’RBAC applicano la minimizzazione dei dati a livello di campo, garantendo che gli utenti vedano solo quanto richiesto dal proprio ruolo e dalla finalità dichiarata (articoli 25 e 32). La cronologia degli accessi registra ogni query eseguita sui dati personali, inclusi l’utente, la query e le colonne specifiche lette o scritte, consentendo alle organizzazioni di generare registri di audit in linea con l’articolo 30 e con gli obblighi di responsabilizzazione previsti dall’articolo 5, paragrafo 2. Le funzionalità Snowflake di catalogo dati e data lineage supportano l’inventario dei trattamenti da cui dipende la tenuta dei registri prevista dall’articolo 30.\u003C/p\u003E\u003Cp\u003EEsiste anche una dimensione transfrontaliera. Il capo V del GDPR disciplina i trasferimenti di dati personali verso Paesi terzi e organizzazioni internazionali. Gli impegni Snowflake in materia di residenza dei dati prevedono di default che i dati inattivi restino nella regione di deployment del cliente. Ciò consente alle organizzazioni di progettare casi d’uso con requisiti specifici di residenza, ma la conformità dei trasferimenti dipende comunque dal più ampio contesto giuridico e contrattuale, incluse, ove applicabili, le decisioni di adeguatezza, le clausole contrattuali tipo o le norme vincolanti d’impresa.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_4":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_0":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"a-strong-data-governance-program-enables-gdpr-compliance",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-5d899cb8cc","type":"heading2","lines":["Un solido programma di governance dei dati consente la conformità al GDPR"],":type":"snowflake-site/components/title-v2"},"text_0":{"id":"text-bdc3346f56","text":"\u003Cp\u003ELa conformità al GDPR è spesso considerata soprattutto una questione giuridica. Il principio di responsabilizzazione chiarisce che è anche una questione operativa. Un’organizzazione in grado di identificare i propri dati personali, tracciarne gli spostamenti, applicare controlli degli accessi e produrre registri di audit costruisce la data foundation operativa necessaria per rendere sostenibile la governance dei dati ai fini del GDPR. In Italia, l'autorità di controllo competente è il Garante per la protezione dei dati personali, il cui sito ufficiale (garanteprivacy.it) pubblica linee guida e provvedimenti applicativi del GDPR.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"section_5":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","simple_snowflake_acc":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"gdpr-data-governance-faqs",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-019ace7519","type":"heading2","lines":["Domande frequenti sulla governance dei dati per il GDPR"],":type":"snowflake-site/components/title-v2"},"simple_snowflake_acc":{"id":"simple-snowflake-accordion-496c06637d","showDivider":false,"accordionItemsList":[{"title":"Il GDPR richiede un framework di governance dei dati?","richText":"\u003Cp\u003EIl GDPR non specifica un particolare framework. Richiede invece che le organizzazioni sappiano identificare i dati personali, proteggerli adeguatamente, conservare i registri ove necessario e dimostrare la conformità ai principi del regolamento, in particolare ai sensi dell’articolo 5, paragrafo 2.\u003C/p\u003E\n"},{"title":"In che modo l’articolo 25 del GDPR influenza la progettazione della governance dei dati?","richText":"\u003Cp\u003EL’articolo 25 del GDPR orienta le organizzazioni verso controlli integrati di default nei trattamenti. In pratica, ciò comporta in genere una classificazione tempestiva, l’accesso secondo il principio del privilegio minimo, il mascheramento e una logica delle policy che segue i dati anziché dipendere da eccezioni manuali.\u003C/p\u003E\n"},{"title":"In che modo il multi-cloud incide sulla governance dei dati ai fini del GDPR?","richText":"\u003Cp\u003EGli ambienti multi-cloud aumentano la complessità della residenza e della \u003Ca href=\"https://www.snowflake.com/en/fundamentals/what-is-data-sovereignty/\"\u003Esovranità dei dati\u003C/a\u003E. 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