Okuqukethwe[Fihla][Bonisa]
Emhlabeni wedijithali, kunezigaba ezimbalwa lapho izinkampani zangaphandle zingase zifinyelele idatha yekhasimende lakho noma yebhizinisi. Ulwazi olunjalo alukwazi ukususwa kalula emibikweni noma izethulo zabasebenzisi. Ngendlela efanayo, awukwazi nje ukusabalalisa idatha ngokwayo.
Ukufihla idatha kuyisixazululo esibalulekile sokuvikela esishintshanisa idatha ebonisiwe ngedatha eqanjiwe kuyilapho kugcinwa idatha yeqiniso ivikelekile kulesi simo.
Ukufihla idatha kuwumkhuba wokushintsha idatha ebucayi ukuze isetshenziselwe injongo yayo kodwa ayikwazi ukusetshenziselwa ukukhomba abantu abathile.
Idatha ebucayi efaka amagama, amakheli, nezinombolo zokuphepha komphakathi esikhundleni sokwaziswa okubambekayo kodwa okungamanga. Ngale ndlela, noma ngabe idatha intshontshiwe, imininingwane ebalulekile iyavikelwa.
Kulokhu okuthunyelwe, sizobheka eduze amathuluzi aphezulu ayi-10 okufihla idatha atholakala emakethe.
Kuyini i-Data Masking?
Ukufihla idatha kuyindlela yokufihla ulwazi oluyimfihlo ngokulufaka esikhundleni solwazi oluqanjiwe, njengezinombolo zekhadi lesikweletu, amaphasiwedi, noma ezinye izinhlobo zokuhlonza umuntu.
Leli su livumela ukusetshenziswa kwedatha emele ukuthuthukiswa, ukuhlolwa, noma ukuqeqeshwa kuyilapho liqinisekisa ukuthi idatha ebucayi igcinwa iyimfihlo ngisho noma yabelwa abanye abathintekayo.
Idatha ebucayi ingafihlwa kusetshenziswa amasu ahlukene, okuhlanganisa ukwenza amathokheni, ukushintshwa, ukubethela, nokushova. Ngenkathi ukushova hlela kabusha amanani edatha, ukufaka esikhundleni sedatha yangempela ngamavelu aqanjiwe.
Ngakolunye uhlangothi, ukubethela kusitha idatha ngokuyiguqulela kumbhalo we-cipher odinga ukhiye wokukhipha ikhodi ukuze ukhishwe ukuze kuvezwe idatha yoqobo. Ukwenza amathokheni kuhlanganisa nokugcina ifomethi yoqobo yedatha ebucayi kuyilapho kushintsha amathokheni akhiqizwa ngokungahleliwe.
Umgomo wokufihlwa kwedatha uwukukhiqiza isisombululo esisebenzayo esingaqukethe ulwazi olubucayi kodwa esihlinzeka ngempinda yesakhiwo. Uma idatha yangempela ingadingeki, lokhu kusiza ikakhulukazi ekuqeqeshweni komsebenzisi, amademo omkhiqizo, nokuhlolwa kwesofthiwe.
Kungani ukufihla idatha kubaluleke kangaka?
Ukufihlwa kwedatha kusetshenziswa izinhlangano ezihlakaniphe kakhulu nezikhuthele kakhulu ngenxa yezizathu ezimbalwa:
- Ukuqeda amathuba okulahleka kwedatha noma ukugebenga ngenkathi ulayisha idatha emafini.
- Ukubhekana nezindaba ezibalulekile zokuphepha, ezifana nokukhishwa kwedatha, izinsongo zangaphakathi, ama-akhawunti onakalisiwe, nokusebenzisana okungavikelekile namasistimu angaphandle.
- Ukuvimbela izimbangi ekutholeni izinhlelo zentengiso zenkampani yakho, okuhlanganisa amamajini enzuzo, inani labasebenzisi, nezinye izici.
- Ukukuvumela ukuthi uvimbele ukusetshenziswa okungagunyaziwe noma okungalungile kwedatha yeklayenti ngabasebenzi, osonkontileka abazimele, noma abahlinzeki.
- Ukuvumela ukusetshenziswa kwamahhala kwezentengiso kwedatha efihliwe nabantu abafunda umsebenzi, onjiniyela, abaklami, abakhiqizi bokuqukethwe, kanye nomphakathi jikelele.
- Ukuhlanzeka kwedatha kusebenzisa ukufihla idatha ukuze kuthathelwe indawo amanani oqobo endaweni yokugcina, kuyilapho ukususwa kwefayela okujwayelekile kusashiya imikhondo yedatha ngemuva.
Amathuluzi Okufihla Idatha
1. Delphix
I-Delphix isofthiwe yesimanjemanje ekwazi ukuhlonza futhi ifihle idatha ebucayi emithonjeni eminingana, okuhlanganisa imininingwane yolwazi ehlobene namafayela.
Amagama ekhasimende, amakheli e-imeyili, nezinombolo zekhadi lesikweletu ngeke kukukhathaze ngoba i-Delphix ikwazi ukubona izinhlobo ezingaphezu kuka-30 zolwazi olubucayi ngokuzenzakalelayo.
Izinhlobonhlobo ezibanzi zezinhlobo zedatha, okuhlanganisa kokubili idatha ehlelekile nengahlelekile, ingafihlwa kusetshenziswa lolu hlelo lokusebenza. I-Delphix isebenzisa izindlela ezahlukahlukene zokufihla idatha, okuhlanganisa i-hashing, ukumiselela, kanye nokushova.
Ngezinkulumo zephrofayela eziyingqayizivele ezingaphezu kuka-50, i-Delphix ihlanganisa umtapo wolwazi omkhulu wamasethi ephrofayela eyakhiwe ngaphambilini. Ukuqalisa ama-algorithms wokufihla ubuso ngeke kudinge ukuthi ube uchwepheshe wezinhlelo, futhi i-Delphix ingakhiqiza amanani anembile kuyilapho igcina ubuqotho obuyinkomba ngaphakathi naphakathi kwemithombo yolwazi yakho yonkana.
Isofthiwe iphinde ihleleke kalula uma udinga ukuthuthukisa ama-algorithms amasha. Idatha yakho efihliwe izoqhubeka isebenza ngokungenasici, ikwenza ukwazi ukuyisebenzisela ukuthuthukisa, ukuhlola, nezidingo zokuhlaziya.
Ukwenza amathokheni edatha nezisombululo zokufihla ezingenakuhlehliswa kunikezwa yi-Delphix ukuze uvikele ubumfihlo bedatha futhi ukuvikeleka kwebhizinisi lakho kufanele kuhambisane nezindinganiso nemithetho efana ne-GDPR, HIPAA, noma i-CCPA. Izingozi zingaqedwa ngokuchaza kanye nokusebenzisa izinqubo zokufihla okufanayo kuzo zonke izilungiselelo ezingakhiqizi.
Zamanani
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2. I-IBM InfoSphere Optim Data Privacy
Isixazululo se-IBM InfoSphere Optim Data Privacy sivumela abasebenzisi ukuthi bashintshe idatha ebucayi bafake idatha ehambisana nomxholo nengokoqobo (kodwa eyiqiniso) ngezindlela ezihlukahlukene.
Ubuchwepheshe bukwenza kucace ukuthi amabhizinisi athole idatha ebucayi futhi ayimboze njengoba kudingeka kuzo zonke izizindalwazi, izindawo zokugcina izimpahla, ifu, nezimo ezinkulu zedatha.
Ukuphathwa nokufihlwa kolwazi olubucayi (i-PII nenye idatha eyimfihlo) kwenziwa kwaba lula ezimweni ezingakhiqizi okuhlanganisa ukuthuthukiswa, ukuhlola, nokuqinisekiswa kwekhwalithi ngenxa ye-IBM InfoSphere Optim Data Privacy.
I-InfoSphere ihlinzeka ngokuvikeleka kwedatha kanye nokugcinwa kuyimfihlo okufunwa yimboni ye-BFSI, ikakhulukazi ohlelweni lokuthuthukisa abathengisi abaningi/losekelo. Kuyithuluzi eliphelele lokuvikela ubumfihlo bedatha nendawo.
Ukusetha ukukhishwa kwedatha kusizindalwazi sokukhiqiza nezindlela zokufihla, akukho khodi edingekayo. Ukuguqulwa kwenzeka ngokushesha esiteshini esivikelekile. I-IBM ithembisa ukuthuthukiswa kokuthobela idatha, ukulawula ubungozi, nokusebenza kokusebenza.
Zamanani
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3. I-K2View
I-K2View ingaba inketho engcono kakhulu kuwe uma ufuna ithuluzi eliqinile lokufihla idatha elingavikela ngempumelelo idatha yakho ebucayi.
Kuhloswe ngayo ukwenza ukufihla idatha kube lula ngokunciphisa izindleko zokuthunyelwa nesikhathi ngenkathi futhi kususwa izinkinga zeleveli yebhizinisi ngesu layo lomkhiqizo wedatha.
I-K2View inikeza ukuvikeleka okuqinile kwedatha ye-PII futhi igcina ukuhlangana okuhlobene kwedatha efihliwe ngokufihla idatha yebhizinisi ngayinye ebucayi kukuthutha.
Ngaphezu kwalokho, yenzelwe ukukusiza ekuthobeleni inani lemithetho yokuvikela idatha, njenge-GDPR, CCPA/CPRA, HIPAA, LGPD, ne-PCI DSS.
I-K2View inekhono lokwenza ikhathalogi yedatha kanye nekhono lokuzitholela ngokuzenzekelayo okwenza kube lula ukwenza imephu nokuhlukanisa idatha ebucayi. Ngaphezu kwalokho, ungaqhuba ifayela lesizindalwazi nosesho lwemethadatha ezingeni le-granular.
Unenkululeko yokufihla idatha yakho ngendlela esebenza kahle kakhulu ebhizinisini lakho ngenxa yamakhulu ezindlela zokufihla izinto eziphuma ebhokisini ezitholakalayo, ezihlanganisa ukumiselela, ukwenza okungahleliwe, ukushova, ukushintsha, ukususa, nokuphinda kwenziwe kabusha.
Ukwengeza, i-K2View isekela ukuhlanganiswa okungenamthungo nohlu olubanzi lobuchwepheshe noma imithombo yedatha, kungakhathaliseki ukuthi isingathwe endaweni noma emafini. Ukuze ufihle idatha ngobuqotho obuyinkomba, ungakwazi ukuxhuma lesi sixazululo kuzinqolobane zolwazi, izinhlelo zefa, i-NoSQL, imibhalo ye-XML, imigqa yemilayezo, namafayela ayisicaba.
Zamanani
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4. Ukufihla idatha ye-Oracle kanye nokusetha okuncane
I-Oracle Data Masking and Subsetting iyithuluzi elisebenzayo elenza izinkampani zehlise ingcuphe yokuphulwa kwedatha kuyilapho zigcina ikhwalithi yedatha yezilungiselelo ezingakhiqizi. Isixazululo sihlanganisa inqwaba yamasu okufihla idatha akhelwe ngaphakathi, okuhlanganisa ukuhlenga kabusha, ukumiselela, nokukrwabha, ukufihla idatha ebucayi ngendlela eyigcina isebenziseka kodwa efihla ubunikazi bayo.
Ngezinjongo zokuthuthukiswa, ukuhlola, nokuhlaziya, Ukufihla Idatha ye-Oracle kanye ne-Subsetting nakho kuhlinzeka ngamakhono wokusetha kancane ukukhiqiza amakhophi alawulekayo edatha yokukhiqiza.
Ngenkathi ifihla futhi isetha idatha, ingagcina ubuqotho obuyinkomba, ubudlelwano obuyinkimbinkimbi, nokuncika. Imininingo egciniwe, amafayela, nezinhlelo zokusebenza ezakhiweni noma ezisemafini konke kungasetshenziswa nesixazululo. Imininingwane eyimfihlo yesizindalwazi kanye nenzalo yayo ibonwa ngokuzenzakalelayo yilolu hlelo.
Igcina umtapo wolwazi omaphakathi wamafomethi wokufihla, ohlinzeka ngamafomu okufihla ubuso alungele ukusetshenziswa futhi inikeze abasebenzisi izindlela eziningi zokufihla noma iyiphi idatha enikeziwe. Ngokufihla idatha ezimweni ezihlukahlukene zokusetshenziswa ngaphansi kwezilungiselelo ezihlukahlukene, i-Oracle inikeza amasu okuguqula aphelele.
Kufanelekile kumabhizinisi okufanele athobele imithetho elawula ubumfihlo bedatha, njenge-GDPR, CCPA/CPRA, HIPAA, neminye. Amagama, amakheli, izinombolo zocingo, ama-imeyili, izinombolo zekhadi lesikweletu, nolwazi lwezempilo konke kungafihlwa nesixazululo.
Zamanani
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5. I-Informatica Persistent Data Masking
I-Informatica Persistent Data Masking iyisixazululo esibanzi sokufihla idatha esivumela amabhizinisi ukuthi avikele ngokuphephile idatha ebucayi kuyilapho abelana ngayo nababambiqhaza bangaphakathi nabangaphandle.
Ama-algorithms ayinkimbinkimbi asetshenziswe kulesi sixazululo anika amandla ukuvikelwa kolwazi olubucayi kusetshenziswa izinhlobonhlobo zamasu okufihla, njengokugcina ukufometha nokugcina inani lokufihla ubuso. Ubuchwepheshe, obungafihla idatha ngesikhathi sangempela noma ngamaqoqo, buvikela idatha ebucayi kokubili ngesikhathi sokuthutha kanye nemodi yenqwaba.
Imininingo egciniwe, amafayela, nama- mainframes kuyizindawo ezimbalwa lapho ingase ifihle khona idatha. Ukusetshenziswa kwalolu hlelo kuvumela ukufihlwa kwedatha kumapulatifomu amaningana, okuhlanganisa i-Oracle, i-IBM DB2, i-Microsoft SQL Server, nezinye.
Isixazululo siyindlela enhle yokuthi amabhizinisi aguqule idatha yawo efwini ngoba futhi inamakhono okufihla idatha ezindaweni zamafu. Ukubika okuqinile kwesixazululo nezici zokucwaninga zivumela amakhasimende ukuthi alandelele futhi ahlole yonke imisebenzi yokufihla ubuso.
Imithetho eyahlukene, efana ne-GDPR, i-HIPAA, ne-PCI-DSS, ingafakazelwa ukuthi ithotshelwe kusetshenziswa imibiko ekhiqizwa yisixazululo. Ifihla lonke ucezu lolwazi olungakhonjwa enanini elikhulu ledatha eqoqwe emithonjeni eminingi nezizindalwazi, njengabasebenzisi, izindawo, izinsuku zokuzalwa, nezindima.
Imininingo egciniwe, izinhlelo zokusebenza, nama- mainframes konke kungaxhunyaniswa kabanzi ngesixazululo. Ngaphezu kwalokho, kunciphisa amathuba okulahleka kwedatha noma ukusetshenziswa kabi kwedatha.
Zamanani
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6. I-IRI FieldShield
I-IRI FieldShield iwuhlelo olunamandla lokufihla idatha oluhlinzeka ngokuvikeleka okuphambili kwedatha ebucayi. Isethi ephelele yezici nezinqubo zokufihla zohlelo zenza abasebenzisi bakwazi ukufihla idatha ngokushesha evela emithonjeni ehlukahlukene, okuhlanganisa imininingwane yolwazi ehlobene, amafayela ayisicaba, nezinhlelo zozimele omkhulu. Iphinde inikeze abasebenzisi inketho yokufihla idatha esekelwe emafini noma yasendaweni.
I-FieldShield ithola futhi ihlukanise ngokwezigaba izinto ezibucayi kusizindalwazi, amafayela, nakweminye imithombo kusetshenziswa indlela entsha yokuhlukanisa idatha. Uma idatha isihlukanisiwe, ingafihlwa kusetshenziswa amasu amaningana, okuhlanganisa ukubethela, ukushintshwa, kanye nokuphinda kwenziwe kabusha.
Ukwengeza, izinhlobonhlobo zezinhlobo zedatha, okuhlanganisa i-alphanumeric, izinombolo, ne-Unicode, ziyasekelwa. Iphinde iqinisekise ukuthi idatha efihliwe igcina ukufana kwereferensi nenye idatha ehlobene, igcina ukuba wusizo kwedatha.
Iphinde inikeze ngebanga lezinketho zokusetha kabusha idatha, okuvumela ukukhiqizwa kwamasethi amancane edatha ukuze kuhlolwe futhi kuthuthukiswe.
Ukuhlanganiswa neminye imikhiqizo ye-IRI efana ne-IRI CoSort ne-IRI Voracity nayo isekelwa yi-FieldShield. Lawa mathuluzi anikezela ngezici ezengeziwe endaweni eyodwa, okuhlanganisa ukuhlanganiswa kwedatha, ikhwalithi yedatha, nokufihla idatha.
Zamanani
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6. Imaski yedatha ye-Salesforce
I-Salesforce Data Mask iwubuchwepheshe obunamandla bokufihla idatha okusiza amabhizinisi ukuthi avikele ulwazi lwawo olubucayi futhi athobele imithetho ehlukene yokuvikela idatha. Izinhlobonhlobo eziningi zezinketho zokufihla ziyatholakala kule nkundla, okuhlanganisa ukufihla idatha okuguquguqukayo, ukufihla idatha okumile, nokufihla idatha okukhethiwe.
Ifu Lokuthengisa, Ifu Lesevisi, nedatha ebucayi Yefu Lokumaketha kubonwa futhi kwembozwa yi-Salesforce Data Mask kusetshenziswa ama-algorithms okufunda komshini.
Ubuchwepheshe buphinde bunikeze ideshibhodi ephelele eyenza amakhasimende akwazi ukubona amarekhodi ocwaningo kanye nenqubekelaphambili yawo yokufihla. Imithetho eyahlukene yokuvikela idatha ehlanganisa i-GDPR, i-CCPA, ne-HIPAA, futhi iqukethe izifanekiso zokuthobela ezakhiwe kusengaphambili.
I-Salesforce Data Mask isebenza ngokuhlanganyela neminye imikhiqizo ye-Salesforce efana ne-Shield ne-Identity ukuze inikeze isisombululo esiphelele sokuvikela idatha. Ukwengeza, i-Salesforce Data Mask inikeza izinga eliphezulu lokuvumelana nezimo futhi ingasethwa ukuze kwanelise izidingo ezithile zokuvikela idatha yezinhlangano ezihlukahlukene.
Izinhlobo zedatha ezisetshenziswa kakhulu njengezinto zangokwezifiso nezijwayelekile, izinkundla, okunamathiselwe, namadokhumenti konke kusekelwa ukuze kufihlwe. Iphinde inikeze izindlela eziningi zokufihla okuhlanganisa ukumiselela, ukwenza kabusha, ukwenza amathokheni, nokubethela ukuze kuqinisekiswe ukuthi idatha ifihlwa ngempumelelo kuyilapho kugcinwa ubuqotho bayo.
Zamanani
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7. Immuta
I-Immuta ingaba inketho engcono kakhulu yemikhawulo yobumfihlo kanye nokufihla idatha okushukumisayo. Ilungisa idatha ngesikhathi sombuzo ukuze kufihlwe amanani abucayi ngaphandle kokushintsha idatha yoqobo.
Ungacacisa inqubomgomo yokulawula ukufinyelela okusekelwe kusibaluli kuhlelo lwayo lokuphepha nokuphathwa kobumfihlo. Unenketho yokusebenzisa ikhodi noma ulimi olulula lapho ubhala ulimi lwenqubomgomo.
Ukwengeza, ungakhetha kusukela kuzilawuli zokuphepha nobumfihlo ezakhelwe kusengaphambili ezingaphezu kwezingu-60 ukuze uvikele idatha ebucayi. Lezi zingqinamba zingaphinda zisetshenziswe ngendlela eguquguqukayo ngesikhathi sombuzo kumasu ahlukahlukene okufihla idatha, okuhlanganisa ukwenza kungaziwa, ukwenza mbumbulu, ukuncishiswa, kanye ne-obfuscation.
Ungakwazi ukufinyelela ngokushesha idatha egunyaziwe kusukela kunoma iyiphi incwadi, ithuluzi le-BI, noma ibhentshi lomsebenzi ngenxa yalezi zinqubomgomo eziguqukayo. Ungenza ngokuzenzakalelayo imikhawulo yokufinyelela ku-Immuta usebenzisa izinhlobonhlobo zemibandela, okuhlanganisa izibalo zabantu bomsebenzisi, amawindi asekelwe esikhathini, idatha yeselula engumakhelwane, nedatha yethebula lereferensi.
Ngaphezu kwakho konke, yehlisa umthwalo wobunjiniyela futhi inike amandla ukufinyelela okusheshayo kudatha ebethelwe. Ukwengeza, le softhiwe yehlisa amathuba okuphulwa kwedatha, ivikela isithunzi senkampani yakho, ivumela ukwabelana ngedatha okuphephile, futhi ikhulise ukukhiqiza kweqembu.
Zamanani
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8. Chainsys DataZense
I-DataZense iyisixazululo esibanzi sokufihla idatha esidalelwe ukuvikela imininingwane eyimfihlo ekungakhiqizweni, ekuthuthukisweni, nasezilungiselelweni zokuhlola. Izinkampani zingafihla kalula idatha ye-PII ne-PHI, okuhlanganisa ulwazi lwekhadi lesikweletu, amagama, amakheli, namarekhodi ezokwelapha, ngalobu buchwepheshe.
Ingonga isikhathi ngokushesha futhi yehlise amaphutha abantu ngokuthola ngokuzenzakalelayo kanye nokufihla idatha. Izindlela zokufihla ezinikezwa yileli thuluzi zihlanganisa ukwenza amathokheni, ukubethela, ukushova, ukumiselela, nokufihla ubuso. Ingakwazi ukugcina ubuqotho obuyinkomba kanye nokuxhumana kwedatha ngenxa yama-algorithms ayo angaphandle kwebhokisi.
Ukwengeza, ikuvumela ukuthi udale imithetho nezinqubomgomo zokufihla okomuntu siqu, okuqinisekisa ukuthi idatha ebucayi yenziwa ingaziwa ngokuvumelana nezidingo zakho ezithile.
Iphinde inikeze izinketho ezimbalwa zokucushwa kanye nezindlela zokuhlola zokuhambisana nokwengamela. Ungafinyelela le nkundla esekelwe emafini noma nini nanoma kuphi lapho ukhetha khona.
Ukwengeza, isekela i-GDPR, CCPA, OIOO, neminye imithetho yobumfihlo. Izinkundla ezinkulu zedatha, isizindalwazi esihlobene, amafayela ayisicaba, izinsiza zamafu, neminye imithombo yedatha nobuchwepheshe konke kungahlanganiswa nedathaZense.
Zamanani
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9. NextLabs
Nextlabs Data Masking, idatha enamandla isixazululo sezokuphepha, inika amandla amabhizinisi ukuthi avikele idatha ebucayi kuyilapho ethobela izidingo zokulawula. Izingxenye zedatha ezibucayi lolu hlelo oluvumela abasebenzisi ukuthi bazibone futhi bazifihle zihlanganisa ulwazi lwekhadi lesikweletu, izinombolo zokuphepha komphakathi, namakheli e-imeyili, ukusho ezimbalwa nje.
Ihlinzeka ngokufihlwa kwedatha engahlelekile ngaphezu kwedatha ehleliwe.
Nge-Nextlabs Data Masking, ungenza izinqubomgomo zokufihla ezingasetshenziswa nemithombo ehlukahlukene yedatha, okuhlanganisa amafayela, isizindalwazi, nezinhlelo zesofthiwe.
Ukuze kuvikelwe idatha ebucayi, ithuluzi lisebenzisa izinhlobonhlobo zamasu okufihla, okuhlanganisa ukubethela, ukuhlela kabusha, ukufaka esikhundleni, kanye nokushova. Ngosizo lwe-Nextlabs Data Masking, ungaphatha futhi ubeke iso kuzinqubomgomo zakho zokufihla idatha ngenxa yokubuka okumaphakathi kwayo yonke imithombo yakho yedatha.
Uhlelo luvumela ukuhlolwa nokubikwa kokusetshenziswa nokufinyelela kwedatha.
Ukuvimbela ukulahleka kwedatha (DLP) kanye nemikhiqizo yobunikazi nokulawulwa kokufinyelela (IAM), kanye nezinye izixazululo zokuphepha, zombili zihlanganiswe ngaphandle komthungo ne-Nextlabs Data Masking. Ngokuhlanganisa lezi zinhlelo, izinhlangano ziyakwazi ukwenza uhlelo olunzulu lokuvikela idatha oluvikela yonke ingxenye yendawo yazo yedatha.
Zamanani
Sicela uxhumane nomthengisi ukuze uthole amanani ayo.
10 HusHus
Ingabe ufuna isixazululo esiyimfihlo sokukusiza ngokufihla idatha ukuze ukwazi ukuthobela izimiso ezilawulayo neziyimfihlo zomphakathi? I-Hush-Hush inketho efanelekile. Unayo isixazululo se-Hush-Hush, noma kunjalo, ukukusiza ekufihleni idatha ye-PII.
Ngokusebenzisa le softhiwe, ungathola ngokushesha imininingwane ebucayi kusizindalwazi senkampani yakho futhi uyihlele ngezigaba ukuze ungaziwa. I-Hush-Hush ithobelana ngokugcwele nemithetho ye-GDPR, HIPAA/HITECH, CCPA, kanye ne-GLBA uma kukhulunywa ngokufihla idatha.
Isebenzisa izingxenye ezisuselwe emithethweni yokucushwa okuphelele kanye nokwenza idatha ephephile ingaziwa, ihlinzeka ngezixazululo esezilungele ukusetshenziswa ukuze kufihlwe ubunikazi obuqondile noma obungaqondile kusetshenziswa izindlela ezinqunywe kusengaphambili nezivamile.
I-Hush-Hush iyavumelana nezimo futhi ingaxhunyaniswa neseva yomdabu ye-SQL i-SSIS, i-Biztalk, kanye nekhodi esebenzisa i-API noma ngabe usebenza endaweni noma emafini. Uhlelo ludala imibiko yomkhondo wokuhlola ukuze kuqinisekiswe ukuthotshelwa komthetho ne-GDPR, CCPA, kanye ne-HITECH, futhi ungahlela imisebenzi yokungaziwa kwedatha noma ukwenze ngendlela edingekayo.
Zamanani
Sicela uxhumane nomthengisi ukuze uthole amanani ayo.
Isiphetho
Ukufingqa, ukufihla idatha kuyindlela ebalulekile yamafemu anamuhla ukuvikela idatha ebucayi ekufinyeleleni okungagunyaziwe. Ngokusebenzisa amasu okufihla idatha, amabhizinisi angavikela idatha yawo ebalulekile ngaphandle kokuphazamisa ukusebenza kwawo okujwayelekile.
Amabhizinisi angakhetha isixazululo esingcono kakhulu kuye ngezidingo zawo ezihlukile, okuhlanganisa nenani lokuvikelwa kwedatha elidingekayo, izinhlobo zemithombo yedatha ezisetshenziswayo, kanye nezimfuneko zokuthobela imithetho, ngenxa yohlu olubanzi lwezindlela ezihlukile zemakethe.
UJosé Rodrigues Gonçalves Filho
Okuthunyelwe kwakho kudlulele ngale kwalokho ebengikufuna - ithuluzi lokwenza idatha ingaziwa kufayela le-PDF...
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