M'ndandanda wazopezekamo[Bisani][Show]
M'dziko la digito, pali magawo angapo omwe anthu ena amatha kupeza kasitomala kapena bizinesi yanu. Zambiri zoterezi sizingachotsedwe mosavuta pamalipoti kapena mafotokozedwe a ogwiritsa ntchito. Momwemonso, simungathe kugawa deta yokha.
Kusunga deta ndi njira yofunikira yachitetezo yomwe imalowetsa zomwe zawonetsedwa ndi zopeka ndikusunga zowonadi kukhala zotetezeka panthawiyi.
Kubisa deta ndi mchitidwe wosintha zinthu zomwe zili zofunika kwambiri kotero kuti zitha kugwiritsidwabe ntchito pazolinga zake koma sizingagwiritsidwe ntchito kuzindikira anthu enaake.
Zambiri zokhuza kuphatikizirapo mayina, ma adilesi, ndi manambala achitetezo amasinthidwa ndi zomveka koma zabodza. Mwanjira imeneyi, ngakhale deta itabedwa, chidziwitso chofunikira chimatetezedwa.
Mu positiyi, tiyang'ana mwatsatanetsatane zida zapamwamba za 10 zosungira deta zomwe zikupezeka pamsika.
Kodi Data Masking ndi chiyani?
Kubisa zidziwitso ndi njira yobisira zinsinsi poziyika ndi zongopeka, monga manambala a kirediti kadi, mawu achinsinsi, kapena mitundu ina yazidziwitso zanu.
Njirayi imalola kugwiritsa ntchito data yoyimilira pachitukuko, kuyezetsa, kapena kuphunzitsa kwinaku ndikutsimikizira kuti deta yobisika imasungidwa mwachinsinsi ngakhale itagawidwa ndi anthu ena.
Deta yachidziwitso imatha kubisika pogwiritsa ntchito njira zosiyanasiyana, kuphatikiza ma tokenization, kusintha, kubisa, ndi kusakaniza. Ngakhale kusunthika kumayitanitsanso zikhalidwe za deta, kulowetsa m'malo mwazomwe zili zenizeni ndi zopeka.
Kumbali ina, encryption imabisa deta poisintha kukhala ciphertext yomwe imafunika chinsinsi chachinsinsi kuti chisinthidwe kuti ziwonetsere zomwe zidayambira. Tokenization imaphatikizapo kusunga mtundu woyambirira wa data tcheru ndikulowetsa ma tokeni opangidwa mwachisawawa.
Cholinga cha masking a data ndikupanga njira yothandiza yomwe ilibe chidziwitso chodziwika bwino koma imapereka chibwereza cha kapangidwe kake. Pamene deta yeniyeni sikufunika, izi ndizothandiza makamaka pa maphunziro a ogwiritsa ntchito, ma demos a mankhwala, ndi kuyesa mapulogalamu.
Chifukwa chiyani masking a data ndikofunikira kwambiri?
Kusunga deta kumagwiritsidwa ntchito ndi mabungwe anzeru kwambiri komanso okhazikika pazifukwa zingapo:
- Kuchotsa kuthekera kwa kutayika kwa data kapena kubera pamene mukukweza deta pamtambo.
- Kuthana ndi zovuta zofunika zachitetezo, monga kutulutsa deta, kuwopseza kwamkati, maakaunti osokonekera, komanso kuyanjana kosatetezedwa ndi machitidwe akunja.
- Kuletsa omwe akupikisana nawo kuti asazindikire mapulani akampani yanu, kuphatikiza phindu, kuchuluka kwa ogwiritsa ntchito, ndi zina.
- Kukuthandizani kupewa kugwiritsiridwa ntchito kosaloleka kapena kosayenera kwa data ya kasitomala ndi ogwira nawo ntchito, makontrakitala odziyimira pawokha, kapena ogulitsa.
- Kuloleza kugwiritsidwa ntchito kwaulere kwa data yobisika ndi akatswiri odziwa ntchito, opanga mapulogalamu, opanga, opanga zinthu, komanso anthu wamba.
- Sanitization ya data imagwiritsa ntchito masking a data m'malo mwa zomwe zidasungidwa pamalo osungira, pomwe kufufutidwa kwa fayilo kumasiyabe tsatanetsatane wa deta.
Zida Zopaka Ma Data
1. Delphix
Delphix ndi pulogalamu yamakono yomwe imatha kuzindikira mwachangu ndikubisa deta yachinsinsi kuchokera kumagwero angapo, kuphatikiza zolemba zaubale ndi mafayilo.
Mayina amakasitomala, ma adilesi a imelo, ndi manambala a kirediti kadi sizikhala ndi nkhawa kwa inu chifukwa Delphix imatha kuzindikira mitundu yopitilira 30 yazidziwitso zokhazokha.
Mitundu yambiri ya data, kuphatikiza zonse zosanjidwa bwino komanso zosasinthika, zitha kubisika pogwiritsa ntchito pulogalamuyi. Delphix amagwiritsa ntchito njira zosiyanasiyana kubisa deta, kuphatikizapo hashing, kusintha, ndi kusakaniza.
Ndi mafotokozedwe opitilira 50 apadera, Delphix imaphatikizapo laibulale yayikulu yama seti omwe adamangidwa kale. Kuthamanga ma aligorivimu a masking sikufuna kuti mukhale katswiri wokonza mapulogalamu, ndipo Delphix imatha kupanga zolondola ndikusunga kukhulupirika mkati ndi kudutsa magwero anu a data.
Mapulogalamuwanso amangosinthika ngati mukufuna kupanga ma aligorivimu atsopano. Deta yanu yobisika ipitilira kugwira ntchito mosalakwitsa, kukuthandizani kuti muzigwiritsa ntchito popanga chitukuko, kuyesa, ndi kusanthula zosowa.
Kuyika kwa data ndi mayankho osasinthika a masking amaperekedwa ndi Delphix kuti muteteze zinsinsi za data ndipo chitetezo cha bizinesi yanu chiyenera kutsatira miyezo ndi malamulo monga GDPR, HIPAA, kapena CCPA. Zowopsa zitha kuthetsedwa pofotokozera ndikugwiritsa ntchito njira zotsekera zofananira pamakonzedwe osapanga.
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2. Zinsinsi za IBM InfoSphere Optim Data
Yankho la IBM InfoSphere Optim Data Privacy limathandizira ogwiritsa ntchito kusintha zidziwitso zachinsinsi ndi deta yofunikira komanso yowona (koma yongopeka) m'njira zosiyanasiyana.
Tekinolojeyi imapangitsa kuti mabizinesi azitha kupeza zidziwitso zodziwika bwino ndikuzibisa ngati kuli kofunikira pazosungira, malo osungiramo zinthu, mtambo, ndi ma data akulu.
Kasamalidwe ndi kubisa zidziwitso zodziwika bwino (PII ndi zina zachinsinsi) zimakhala zosavuta pazochitika zosapanga kuphatikizapo chitukuko, kuyesa, ndi chitsimikizo cha khalidwe chifukwa cha IBM InfoSphere Optim Data Privacy.
InfoSphere imapereka chitetezo cha data ndi zinsinsi zomwe bizinesi ya BFSI imafuna, makamaka pazachitukuko cha mavenda ambiri / chithandizo chachilengedwe. Ndi chida chabwino kwambiri chotetezera zinsinsi za data komanso chilengedwe.
Kuti mukhazikitse kuchotsedwa kwa data kuchokera pazosunga zopangira ndi njira zotsekera, palibe kukopera komwe kumafunikira. Kutembenuka kumachitika mwachangu munjira yotetezeka. IBM imalonjeza kusintha kwa kutsata deta, kuwongolera zoopsa, ndi magwiridwe antchito.
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3. K2 View
K2View ikhoza kukhala njira yabwino kwambiri kwa inu ngati mukuyang'ana chida cholimba chosunga deta chomwe chingateteze bwino deta yanu.
Amapangidwa kuti apangitse masking kukhala osavuta pochepetsa ndalama zotumizira ndi nthawi ndikuchotsanso zovuta zamabizinesi ndi njira yake yopangira deta.
K2View imapereka chitetezo champhamvu pa data ya PII ndipo imasunga mgwirizano wa data yobisika mwa kubisa data yomwe ili yofunika kwambiri paulendo.
Kuphatikiza apo, idapangidwa kuti ikuthandizireni kutsatira malamulo angapo oteteza deta, monga GDPR, CCPA/CPRA, HIPAA, LGPD, ndi PCI DSS.
K2View ili ndi kusanja kwa data ndi kuthekera kodzipezera zokha komwe kumapangitsa kukhala kosavuta kupanga mapu ndi kugawa deta yodziwika bwino. Kuphatikiza apo, mutha kuyendetsa fayilo ya database ndikusaka kwa metadata pamlingo wa granular.
Muli ndi ufulu wobisa deta yanu m'njira yothandiza kwambiri pabizinesi yanu chifukwa cha mazana a njira zotsekera zomwe zilipo, kuphatikiza kusintha, kusasintha, kusuntha, kusintha, kuyimitsa, ndikusinthanso.
Kuphatikiza apo, K2View imathandizira kuphatikizika kosasunthika ndi matekinoloje osiyanasiyana kapena magwero a data, kaya amachitikira kwanuko kapena pamtambo. Kuti mubise deta ndi kukhulupirika kwachidziwitso, mutha kulumikiza yankho ili ku nkhokwe zamaubwenzi, machitidwe a cholowa, NoSQL, zolemba za XML, mizere ya mauthenga, ndi mafayilo osanja.
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4. Oracle Data masking ndi subsetting
Oracle Data Masking ndi Subsetting ndi chida chothandiza chomwe chimathandizira makampani kuchepetsa chiwopsezo cha kuphwanya kwa data ndikusunga mtundu wa data pazosintha zosapanga. Njira yothetsera vutoli imaphatikizapo njira zingapo zopangira ma data masking, kuphatikizapo kubwezeretsanso, kubwezeretsa, ndi kukwapula, kubisa deta yodziwika bwino m'njira yomwe imapangitsa kuti ikhale yogwiritsidwa ntchito koma imabisa chinsinsi chake.
Pachitukuko, kuyesa, ndi kusanthula, Oracle Data Masking ndi Subsetting imaperekanso kuthekera kopanga makopi otheka kutheka a data yopanga.
Ngakhale kubisa ndikusintha deta, kumatha kusunga kukhulupirika, maubale ocholoka, ndi kudalira. Zosungira, mafayilo, ndi mapulogalamu omwe ali pamalopo kapena pamtambo atha kugwiritsidwa ntchito ndi yankho. Zidziwitso zachinsinsi za database ndi ana ake zimazindikirika ndi pulogalamuyi.
Imasunga laibulale yapakati yamawonekedwe a masking, yomwe imapereka mawonekedwe okonzeka kugwiritsa ntchito masking ndipo imapatsa ogwiritsa ntchito njira zina zambiri zobisira deta iliyonse. Kuti mubise deta kuchokera kumagwiritsidwe osiyanasiyana osiyanasiyana, Oracle imapereka njira zonse zosinthira.
Ndikoyenera kwa mabizinesi omwe amayenera kutsatira malamulo okhudza chinsinsi cha data, monga GDPR, CCPA/CPRA, HIPAA, ndi ena. Mayina, maadiresi, manambala a foni, maimelo, manambala a kirediti kadi, ndi zidziwitso zaumoyo zonse zitha kubisidwa ndi yankho.
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5. Informatica Persistent Data Masking
Informatica Persistent Data Masking ndi njira yonse yosungira deta yomwe imalola mabizinesi kuti ateteze motetezeka zidziwitso zodziwika bwino ndikugawana ndi omwe ali mkati ndi kunja.
Ma algorithms otsogola omwe amagwiritsidwa ntchito mu yankho ili amathandizira kutetezedwa kwa zidziwitso zodziwika bwino pogwiritsa ntchito njira zingapo zobisika, monga kusunga mawonekedwe ndi kusunga mtengo. Ukadaulo, womwe umatha kubisa deta munthawi yeniyeni kapena m'magulu, umateteza deta yodziwika panthawi yapaulendo komanso mu batch mode.
Ma database, mafayilo, ndi mainframes ndi malo ochepa chabe omwe angabise deta. Kugwiritsa ntchito pulogalamuyi kumathandizira kubisala kwa data pamapulatifomu angapo, kuphatikiza Oracle, IBM DB2, Microsoft SQL Server, ndi ena.
Yankho lake ndi njira ina yabwino yosinthira mabizinesi kusuntha deta yawo kumtambo chifukwa ilinso ndi kuthekera kosunga deta m'malo amtambo. Lipoti lolimba la yankho ndi kuwunikira zimalola makasitomala kuyang'anira ndikuwunika zonse zomwe zikuchitika.
Malamulo osiyanasiyana, monga GDPR, HIPAA, ndi PCI-DSS, akhoza kutsimikiziridwa kuti atsatiridwa pogwiritsa ntchito malipoti omwe yankho limapanga. Imabisa chidziwitso chilichonse chodziwika kuchokera kuzinthu zambiri zomwe zasonkhanitsidwa kuchokera kuzinthu zambiri, monga ogwiritsa ntchito, malo, masiku obadwa, ndi maudindo.
Ma database, mapulogalamu, ndi mainframes onse amatha kulumikizidwa kwambiri ndi yankho. Komanso, amachepetsa kuthekera kwa deta imfa kapena deta molakwika.
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6. IRI FieldShield
IRI FieldShield ndi njira yamphamvu yosungira deta yomwe imapereka chitetezo cham'mphepete mwa data yomwe ili yovuta. Kuphatikizika kwazinthu ndi njira zobisika za pulogalamuyi zimathandizira ogwiritsa ntchito kubisa mwachangu deta kuchokera kumagwero osiyanasiyana, kuphatikiza nkhokwe zaubale, mafayilo osanja, ndi makina a mainframe. Imapatsanso ogwiritsa ntchito mwayi wogwiritsa ntchito mtambo kapena pamalo osungira deta.
FieldShield imangopeza ndikuyika m'magulu zinthu zodziwika bwino m'madatabase, mafayilo, ndi magwero ena pogwiritsa ntchito njira yatsopano yogawa deta. Deta ikagawika, imatha kubisika pogwiritsa ntchito njira zingapo, kuphatikiza kubisa, kulowetsa, ndikusinthanso.
Kuphatikiza apo, mitundu yosiyanasiyana ya data, kuphatikiza zilembo, manambala, ndi Unicode, imathandizidwa. Imawonetsetsanso kuti deta yobisika imasunga tsatanetsatane ndi zina zokhudzana nazo, ndikusunga phindu la deta.
Limaperekanso njira zingapo zosinthira deta, kulola kupanga ma data ang'onoang'ono kuti ayesedwe ndi chitukuko.
Kuphatikizana ndi zinthu zina za IRI monga IRI CoSort ndi IRI Voracity zimathandizidwanso ndi FieldShield. Zida izi zimapereka zowonjezera pa nsanja imodzi, kuphatikizapo kuphatikiza deta, khalidwe la deta, ndi masking deta.
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6. Maski a Salesforce Data
Salesforce Data Mask ndiukadaulo wamphamvu wosunga ma data womwe umathandiza mabizinesi kuteteza zidziwitso zawo komanso kutsatira malamulo osiyanasiyana oteteza deta. Pali mitundu ingapo ya ma masking omwe amapezeka papulatifomu, kuphatikiza masking amphamvu a data, static data masking, ndi masanjidwe osankhidwa a data.
Sales Cloud, Service Cloud, ndi Marketing Cloud data yachinsinsi imadziwika ndikubisidwa ndi Salesforce Data Mask pogwiritsa ntchito njira zophunzirira makina.
Tekinolojeyi imaperekanso dashboard yokwanira yomwe imathandizira makasitomala kuwona zolemba zowunikira komanso kupita patsogolo kwawo kwa masking. Malamulo osiyanasiyana oteteza deta kuphatikiza GDPR, CCPA, ndi HIPAA, alinso ndi ma tempulo opangira omwe adamangidwa kale.
Salesforce Data Mask imagwira ntchito limodzi ndi zinthu zina za Salesforce monga Shield ndi Identity kuti ipereke yankho lathunthu loteteza deta. Kuonjezera apo, Salesforce Data Mask imapereka kusinthasintha kwakukulu kosinthika ndipo ikhoza kukhazikitsidwa kuti ikwaniritse zofunikira za chitetezo cha deta za mabungwe osiyanasiyana.
Mitundu ya data yomwe imagwiritsidwa ntchito kwambiri monga zinthu zanthawi zonse ndi zokhazikika, minda, zomata, ndi zolemba zonse zimathandizidwa ndi masking. Imaperekanso njira zambiri zopangira masking kuphatikiza m'malo, kusinthanso, tokenization, ndi encryption kutsimikizira kuti deta imabisika bwino ndikusunga kukhulupirika kwake.
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7. Immuta
Immuta ikhoza kukhala njira yabwino kwambiri yoletsa zinsinsi komanso kubisala kwa data. Imasintha nthawi yofunsa mafunso kuti ibise zinthu zodziwika bwino popanda kusintha zoyambira.
Mutha kutchulanso mfundo zowongolera zolowera muchitetezo chake ndi kasamalidwe ka zinsinsi. Muli ndi mwayi wogwiritsa ntchito chilankhulo kapena chilankhulo chosavuta polemba chilankhulo.
Kuphatikiza apo, mutha kusankha pazopitilira 60 zotetezedwa zomwe zidamangidwa kale ndi zinsinsi kuti muteteze zambiri. Zolepheretsa izi zitha kugwiritsidwanso ntchito mwamphamvu pa nthawi ya mafunso panjira zosiyanasiyana zosunga ma data, kuphatikiza kusadziwika, pseudonymization, kuchepetsa, ndi kubisa.
Mutha kupeza mwachangu zidziwitso zovomerezeka kuchokera m'mabuku aliwonse, chida cha BI, kapena benchi yogwirira ntchito chifukwa cha mfundo zazikuluzikuluzi. Mutha kusintha malire a Immuta pogwiritsa ntchito njira zosiyanasiyana, kuphatikiza kuchuluka kwa ogwiritsa ntchito, mazenera otengera nthawi, ma cell oyandikana nawo, ndi data ya tebulo.
Koposa zonse, zimachepetsa katundu wauinjiniya ndikupangitsa mwayi wopezeka pompopompo pazida zobisika. Kuphatikiza apo, pulogalamuyo imachepetsa kuthekera kwa kuphwanya deta, imateteza mbiri ya kampani yanu, imathandizira kugawana deta motetezeka, ndikuwonjezera zokolola zamagulu.
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8. Chainsys DataZense
DataZense ndi yankho lathunthu losunga deta lomwe limapangidwa kuti liteteze zinsinsi zachinsinsi pazosankha zosapanga, zachitukuko, ndi zoyeserera. Makampani amatha kubisa data ya PII ndi PHI mosavuta, kuphatikiza zambiri zama kirediti kadi, mayina, ma adilesi, ndi mbiri yachipatala, ndiukadaulowu.
Itha kupulumutsa nthawi mwachangu ndikuchepetsa zolakwa za anthu pozindikira ndikusunga deta. Njira zopangira masking zoperekedwa ndi chida ichi zikuphatikiza ma tokenization, encryption, shuffling, m'malo, ndi masking. Itha kusunga umphumphu ndi kulumikizana kwa data chifukwa cha ma algorithms ake akunja.
Kuphatikiza apo, imakuthandizani kuti mupange malamulo obisala makonda ndi mfundo zake, ndikutsimikizira kuti chinsinsi sichidziwika malinga ndi zosowa zanu.
Imaperekanso zosankha zingapo zosinthira ndi njira zowunikira kuti zitsatire ndi kuyang'anira. Mutha kupeza nsanja iyi yochokera pamtambo nthawi iliyonse komanso kulikonse komwe mungasankhe.
Kuphatikiza apo, imathandizira GDPR, CCPA, OIOO, ndi malamulo ena achinsinsi. Mapulatifomu akuluakulu a data, nkhokwe zaubale, mafayilo osanja, ntchito zamtambo, ndi magwero ena a data ndi matekinoloje onse amatha kuphatikizidwa ndi dataZense.
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9. NextLabs
Nextlabs Data Masking, deta yamphamvu chitetezo yankho, imathandizira mabizinesi kuti ateteze deta yodziwika bwino komanso kutsatira zofunikira pakuwongolera. Zigawo zodziwika bwino za data zomwe pulogalamuyi imathandizira ogwiritsa ntchito kuzindikira ndi kubisa zomwe zimaphatikizapo zambiri zama kirediti kadi, manambala achitetezo cha anthu, ndi ma adilesi a imelo, kungotchulapo zochepa chabe.
Imapereka kubisala kwa data yosasinthika kuwonjezera pa data yokhazikika.
Ndi Nextlabs Data Masking, mutha kupanga mfundo zobisika zomwe zitha kugwiritsidwa ntchito ndi magwero osiyanasiyana a data, kuphatikiza mafayilo, nkhokwe, ndi mapulogalamu apulogalamu.
Kuti muteteze deta yodziwika bwino, chidachi chimagwiritsa ntchito njira zingapo zobisika, kuphatikizapo kubisa, kukonzanso, kusintha, ndi kusakaniza. Mothandizidwa ndi Nextlabs Data Masking, mutha kuyang'anira ndikuyang'anira ndondomeko zanu zosungira deta chifukwa chakuwona pakati pa magwero anu onse.
Dongosololi limathandizira kuwunika ndi kupereka malipoti akugwiritsa ntchito deta komanso kupeza.
Kupewa kutayika kwa data (DLP) ndi zinthu za identity and access management (IAM), komanso njira zina zachitetezo, zonse zimaphatikizidwa bwino ndi Nextlabs Data Masking. Mwa kuphatikiza machitidwewa, mabungwe amatha kupanga ndondomeko yotetezera deta yomwe imateteza gawo lililonse la deta yawo.
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10 HusHus
Mukuyang'ana yankho lachinsinsi kuti likuthandizeni kubisa deta kuti muthe kutsatira malamulo oyendetsera chinsinsi cha anthu? Hush-Hush ndiye njira yabwino. Muli ndi yankho la Hush-Hush, komabe, kuti likuthandizeni kubisa PII data.
Pogwiritsa ntchito pulogalamuyo, mutha kupeza mwachangu zidziwitso zachinsinsi pankhokwe yakampani yanu ndikuzipanga m'magulu kuti musatchule. Hush-Hush imagwirizana kwathunthu ndi malamulo a GDPR, HIPAA/HITECH, CCPA, ndi GLBA pankhani yosunga deta.
Zimagwiritsa ntchito zigawo zozikidwa pamalamulo kuti zisinthidwe bwino komanso kusadziwika bwino kwa data, kumapereka mayankho okonzeka kugwiritsa ntchito kubisa zidziwitso zachindunji komanso zosalunjika pogwiritsa ntchito njira zodziwikiratu komanso zapadziko lonse lapansi.
Hush-Hush ndi yosinthika ndipo imatha kulumikizidwa ndi seva yaku SQL ya SSIS, Biztalk, ndi kachidindo kakugwiritsa ntchito API ngakhale mukugwira ntchito pamalopo kapena pamtambo. Dongosololi limapanga malipoti owunikira kuti atsimikizire kuti GDPR, CCPA, ndi HITECH ikutsatiridwa, ndipo mutha kukonzekera zochitika zosazindikirika za data kapena kuzichita momwe mungafunikire.
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Kutsiliza
Mwachidule, masking data ndi njira yofunika kwambiri kuti mabizinesi amasiku ano atetezere deta yobisika kuti isapezeke mopanda chilolezo. Pogwiritsa ntchito njira zosungira deta, mabizinesi amatha kuteteza deta yawo yofunika popanda kusokoneza ntchito zawo zanthawi zonse.
Mabizinesi amatha kusankha njira yabwino kwambiri malinga ndi zosowa zawo zapadera, kuphatikiza kuchuluka kwa chitetezo cha data chomwe chikufunika, mitundu ya magwero a data omwe amagwiritsidwa ntchito, ndi malamulo otsata malamulo, chifukwa cha njira zosiyanasiyana za msika.
José Rodrigues Gonçalves Filho
Cholemba chanu chinapitilira zomwe ndimayang'ana - chida chosadziwika bwino mufayilo ya PDF…
Kuwerenga kwanga kwa LGPD lero ndikuti, ngakhale lamulo limateteza nzika, likulemetsa kwambiri ntchito za boma. M'lingaliro limeneli, chida chofikirika (m'lingaliro lalikulu la mawu) chimafunika pamene mabungwe akupanga njira zoyendetsera ntchito kwa ofunsira!