Amathuluzi Angcono Kakhulu Wokungaziwa Kwedatha Okuthobela Ukuvikelwa Kobumfihlo

Kushicilelwe:
April 10, 2024

Izinhlangano zisebenzisa amathuluzi okwenza idatha ingaziwa ukuze isuse ulwazi lomuntu siqu oluhlonzayo kumadathasethi abo. Ukungathobeli imigomo kungaholela ezinhlawulo ezinkulu ezivela emigwaqweni elawulayo futhi ukuphulwa kwedatha. Ngaphandle yenza idatha ingaziwa, awukwazi ukusebenzisa noma ukwabelana ngamasethi wedatha ngokugcwele.

Abaningi amathuluzi wokungaziwa ayikwazi ukuqinisekisa ukuthobela ngokugcwele. Izindlela ze-Past-gen zingashiya ulwazi lomuntu siqu lusengozini yokungahlonzwa abadlali abanonya. Abanye izindlela zezibalo zokungaziwa yehlisa ikhwalithi yedathasethi ibe seqophelweni lapho ingathembekile khona analytics yedatha.

Thina at Syntho izokwethula ezindleleni zokungaziwa kanye nomehluko oyinhloko phakathi kwamathuluzi e-past-gen kanye nesizukulwane esilandelayo. Sizokutshela ngamathuluzi angcono kakhulu okwenza idatha angaziwa futhi siphakamise ukucatshangelwa okubalulekile kokuwakhetha.

Okuqukethwe

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  • Isebenza kanjani
  • Kungani izinhlangano ziyisebenzisa
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Ayini amathuluzi okwenza idatha engaziwa?

Ukungaziwa kwedatha kuyindlela yokukhipha noma yokushintsha ulwazi oluyimfihlo kumasethi wedatha. Izinhlangano azikwazi ukufinyelela ngokukhululekile, ukwabelana, nokusebenzisa idatha etholakalayo engalandelelwa ngokuqondile noma ngokungaqondile kubantu ngabanye.

Ithuluzi Lokungaziwa Kwedatha - Syntho
Imithetho yobumfihlo ibeka imithetho eqinile yokuvikela nokusebenzisa ulwazi lomuntu siqu oluhlonzayo (PII) kanye nolwazi lwezempilo oluvikelwe (PHI). Umthetho obalulekile uhlanganisa:
  • Umthetho Wokuvikelwa Kwaziswa Okujwayelekile (GDPR). Umthetho we-EU ivikela ubumfihlo bedatha yomuntu siqu, igunyaza imvume yokucubungula idatha futhi inikeze amalungelo okufinyelela idatha yomuntu ngamunye. I-United Kingdom inomthetho ofanayo obizwa nge-UK-GDPR.
  • I-California Consumer Privacy Act (CCPA). Umthetho wobumfihlo waseCalifornia igxile kumalungelo abathengi mayelana ukwabelana kwedatha.
  • I-Health Insurance Portability and Accountability Act (HIPAA). Umthetho Wobumfihlo isungula izindinganiso zokuvikela ulwazi lwezempilo lwesiguli. 
Ukusebenzisa futhi Ukwabelana siqu idatha angephula le mithetho, okuholela ezinhlawulo zokuphatha kanye namacala omphakathi. Nokho, lezi imithetho yokulawula ayisebenzi kudatha engaziwa, ngokusho kwe-GDPR's recital. Ngokufanayo, I-HIPAA iveza izindinganiso zokungahloniphi izihlonzi okufanele zisuswe ukuze idatha ingalawulwa (Indlela ye-Safe Harbor). Amathuluzi okwenza idatha angaziwa ziyi-software esusa iminonjana yolwazi olubucayi noluvikelekile lwesakhiwo kanye idatha engahleliwe. Benza izinqubo ngokuzenzakalelayo, basize ukuhlonza, ukususa, nokushintsha lolu lwazi kusuka kwinani elikhulu lamafayela nezindawo. Izindlela zokungaziwa zisiza izinkampani ukuthi zifinyelele kudatha yekhwalithi ephezulu kuyilapho zinciphisa ukukhathazeka kobumfihlo. Nokho, kubalulekile ukuqaphela ukuthi akuzona zonke izindlela zokwenza idatha ingaziwa eziqinisekisa ubumfihlo obuphelele noma ukusetshenziswa kwedatha. Ukuze siqonde ukuthi kungani, kufanele sichaze ukuthi ukungaziwa kusebenza kanjani.

Asebenza kanjani amathuluzi okwenza idatha engaziwa?

Amathuluzi okwenza idatha angaziwa askena amasethi edatha ukuze uthole ulwazi olubucayi futhi esikhundleni sawo kufakwe idatha yokwenziwa. Isofthiwe ithola idatha enjalo kumathebula namakholomu, amafayela ombhalo, namadokhumenti askeniwe.

Le nqubo isusa idatha yezinto ezingase ziyixhumanise nabantu ngabanye noma izinhlangano. Izinhlobo zedatha ezisithwe yilawa mathuluzi zihlanganisa:

 

  • Ulwazi oluhlonza umuntu (PII): Amagama, izinombolo zikamazisi, izinsuku zokuzalwa, imininingwane yokukhokha, izinombolo zocingo, namakheli e-imeyili. 
  • Ulwazi lwezempilo oluvikelekile (PHI): Ihlanganisa amarekhodi ezokwelapha, imininingwane yomshwalense wezempilo, kanye nedatha yezempilo yomuntu siqu. 
  • Ulwazi lwezezimali: Izinombolo zekhadi lesikweletu, imininingwane ye-akhawunti yasebhange, idatha yokutshalwa kwezimali, nezinye ezingaxhunywa emabhizinisini. 

 

Isibonelo, izinhlangano zezokunakekelwa kwezempilo zenza ngokungaziwa amakheli esiguli kanye nemininingwane yokuxhumana ukuze ziqinisekise ukuthobela kwe-HIPAA ocwaningweni lomdlavuza. Inkampani yezezimali ifihle amadethi okwenziwayo nezindawo kumasethi wedatha ukuze ithobele imithetho ye-GDPR.

 

Nakuba umqondo ufana, kukhona amasu amaningana ahlukene yenza idatha ingaziwa. 

Amasu okwenza idatha angaziwa

Ukungaziwa kwenzeka ngezindlela eziningi, futhi akuzona zonke izindlela ezithembeke ngokulinganayo ekuthobeleni nasekusebenziseni usizo. Lesi sigaba sichaza umehluko phakathi kwezinhlobo ezahlukene zezindlela.

Ukuqamba amagama

Ukuqamba amanga kuyinqubo ehlehliswayo yokungahlonzi lapho izihlonzi zomuntu zithathelwa indawo amagama mbumbulu. Igcina imephu phakathi kwedatha yoqobo kanye naleyo eshintshiwe, ithebula lemephu ligcinwe ngokuhlukile.

 

Okubi kokuqamba amanga ukuthi kuyabuyiseleka emuva. Ngolwazi olwengeziwe, abalingisi abanonya bangalulandelela balubuyisele kumuntu ngamunye. Ngaphansi kwemithetho ye-GDPR, idatha eyenziwe mbumbulu ayithathwa njengedatha engaziwa. Ihlala ingaphansi kwemithetho yokuvikela idatha.

Ukufihla idatha

Indlela yokufihla idatha idala inguqulo yedatha yabo efana nesakhiwo kodwa mbumbulu ukuvikela ulwazi olubucayi. Le nqubo ithatha indawo yedatha yangempela ngezinhlamvu eziguquliwe, igcina ifomethi efanayo ukuze isetshenziswe okuvamile. Ngokombono, lokhu kusiza ukugcina ukusebenza kokusebenza kwamasethi edatha.


Uyasebenza, ukufihla idatha ngokuvamile kunciphisa isisetshenziswa sedatha. Ingase yehluleke ukulondoloza i idatha yoqoboukusatshalaliswa noma izici, okuyenza ingasebenziseki kangako ekuhlaziyeni. Enye inselele ukunquma ukuthi yini okufanele uyifihle. Uma kwenziwe ngokungalungile, idatha efihliwe isengaphinda ikhonjwe kabusha.

Ukuhlanganisa (aggregation)

Ukwenziwa okujwayelekile kwenza idatha ingaziwa ngokuyenza ibe nemininingwane emincane. Ihlanganisa idatha efanayo ndawonye futhi yehlise ikhwalithi yayo, ikwenze kube nzima ukuhlukanisa izingxenye zedatha ngayinye. Le ndlela ngokuvamile ihlanganisa izindlela zokufingqa idatha njengokulinganisa noma ukwenza ithothali ukuze kuvikelwe amaphuzu edatha ngayinye.


Ukwengeza okujwayelekile kungenza idatha icishe ingabi namsebenzi, kuyilapho ukwenza kancane kungase kunganikezi ubumfihlo obanele. Kuphinde kube nobungozi bokudalulwa kwensalela, njengoba amasethi edatha ahlanganisiwe asengase anikeze imininingwane eyanele yokungahloniphi uma ehlanganiswa nokunye. imithombo yedatha.

Ukuphazanyiswa

Ukuphazamiseka kushintsha amasethi edatha angempela ngokuhlanganisa amanani kanye nokwengeza umsindo ongahleliwe. Amaphoyinti edatha ashintshwa ngokucashile, okuphazamisa isimo sawo sangempela kuyilapho kugcinwa amaphethini edatha ewonke.

 

Ububi bokuphazamiseka ukuthi idatha ayenziwa ingaziwa ngokugcwele. Uma izinguquko zinganele, kunobungozi bokuthi izici zoqobo zingaphinda zikhonjwe. 

Ukushintsha idatha

Ukushintshanisa kuyindlela lapho amanani esibaluli kudathasethi ahlelwa kabusha. Le ndlela ilula kakhulu ukuyisebenzisa. Amasethi edatha okugcina awahambisani namarekhodi angempela futhi awalandeleki ngokuqondile emithonjeni yawo yoqobo.

 

Nokho, ngokungaqondile, amasethi edatha ahlala ehlehliswa. Idatha eshintshiwe isengcupheni yokudalulwa ngisho nemithombo yesibili elinganiselwe. Ngaphandle kwalokho, kunzima ukugcina ubuqotho be-semantic kwenye idatha eshintshiwe. Isibonelo, uma ushintsha amagama kusizindalwazi, isistimu ingase yehluleke ukuhlukanisa phakathi kwamagama abesilisa nabesifazane.

Isibonakaliso

Ukwenza amathokheni kufaka amathokheni esikhundleni sezakhi zedatha ezibucayi — okulingana okungazweli ngaphandle kwamanani asebenzisekayo. Ulwazi lwamathokheni ngokuvamile luwuchungechunge olungahleliwe lwezinombolo nezinhlamvu. Le nqubo ivame ukusetshenziselwa ukuvikela ulwazi lwezezimali ngenkathi kugcinwa izici zayo zokusebenza.

 

Enye isofthiwe yenza kube nzima ukuphatha nokukala ama-vault amathokheni. Le sistimu futhi yethula ubungozi bokuvikeleka: idatha ebucayi ingaba sengcupheni uma umhlaseli engena ku-vault yokubethela.

Randomization

Ukwenza okungahleliwe kushintsha amanani ngedatha engahleliwe neyinhlekisa. Kuyindlela eqondile esiza ukugcina ubumfihlo bokufakwa kwedatha ngayinye.

 

Le ndlela yokusebenza ayisebenzi uma ufuna ukugcina ukusatshalaliswa kwezibalo okuqondile. Kuqinisekisiwe ukufaka engozini idatha esetshenziselwa amasethi edatha ayinkimbinkimbi, njengedatha ye-geospatial noma yesikhashana. Izindlela zokungahleliwe ezinganele noma ezisetshenziswe ngokungafanele azikwazi ukuqinisekisa ukuvikelwa kobumfihlo, nakho.

Ukuhlelwa kabusha kwedatha

Ukuhlelwa kabusha kwedatha kuyinqubo yokususa ngokuphelele ulwazi kumasethi edatha: ukufiphazwa, ukuvala, noma ukusula umbhalo nezithombe. Lokhu kuvimbela ukufinyelela kokuzwela idatha yokukhiqiza futhi kuwumkhuba ojwayelekile emibhalweni yomthetho nesemthethweni. Kusobala ngendlela yokuthi kwenza idatha ingakufanelekeli ukuhlaziya izibalo okunembile, ukufunda okuyimodeli, nocwaningo lomtholampilo.

 

Njengoba kubonakala, lawa masu anamaphutha ashiya izintuba abadlali abanonya abangazisebenzisa kabi. Ngokuvamile zisusa izinto ezibalulekile kumasethi wedatha, okunciphisa ukusetshenziswa kwazo. Lokhu akunjalo ngamasu esizukulwane sokugcina.

Amathuluzi esizukulwane esilandelayo sokungaziwa

Isofthiwe yesimanje yokungaziwa isebenzisa amasu ayinkimbinkimbi ukuze inganaki ubungozi bokuphinda bakhonjwe. Banikeza izindlela zokuthobela yonke imithetho yobumfihlo kuyilapho kugcinwa ikhwalithi yesakhiwo sedatha.

Ukwenziwa kwedatha yokwenziwa

Ukwenziwa kwedatha yokwenziwa kunikeza indlela ehlakaniphile yokwenza idatha ingaziwa kuyilapho kugcinwa ukusetshenziswa kwedatha. Le nqubo isebenzisa ama-algorithms ukudala amasethi edatha amasha afanekisa ukwakheka kwedatha yangempela nezici. 

 

Idatha yokwenziwa ithatha indawo ye-PII ne-PHI ngedatha mbumbulu engakwazi ukulandelelwa kubantu ngabanye. Lokhu kuqinisekisa ukuthobela imithetho yobumfihlo bedatha, efana ne-GDPR ne-HIPAA. Ngokusebenzisa amathuluzi okwenziwa okukhiqiza idatha, izinhlangano ziqinisekisa ubumfihlo bedatha, zinciphisa ubungozi bokuphulwa kwedatha, futhi zisheshise ukuthuthukiswa kwezinhlelo zokusebenza eziqhutshwa idatha.

Ukubethela kwe-Homomorphic

Ukubethela kwe-Homomorphic (kuhunyushwa ngokuthi "isakhiwo esifanayo") iguqula idatha ibe yi-ciphertext. Amasethi edatha abethelwe agcina isakhiwo esifanayo nedatha yasekuqaleni, okuholela ekunembeni okuhle kakhulu kokuhlolwa.

 

Le ndlela ivumela ukwenza izibalo eziyinkimbinkimbi ngqo ku- idatha ebethelwe ngaphandle kokudinga ukuyisusa kuqala. Izinhlangano zingagcina ngokuphephile amafayela abethelwe kumafu omphakathi futhi zikhiphe imithombo yokucubungula idatha kubantu besithathu ngaphandle kokufaka engozini ukuphepha. Le datha futhi iyathobela, njengoba imithetho yobumfihlo ingasebenzi olwazini olubethelwe. 

 

Kodwa-ke, ama-algorithms ayinkimbinkimbi adinga ubuchwepheshe bokusebenzisa okufanele. Ngaphandle kwalokho, ukubethela kwe-homomorphic kuhamba kancane kunemisebenzi yedatha engabetheliwe. Kungase kungabi yisixazululo esiphelele samaqembu e-DevOps nawe-Quality Assurance (QA), adinga ukufinyelela okusheshayo kudatha ukuze ahlolwe.

Vikela ukubala kwamaqembu amaningi

I-Secure multiparty computation (SMPC) iyindlela yokufihla imininingwane yokukhiqiza idathasethi ngomzamo ohlanganyelwe wamalungu amaningana. Iqembu ngalinye libethela okokufaka kwalo, lenze izibalo, futhi lithole idatha ecutshungulwayo. Ngale ndlela, ilungu ngalinye lithola umphumela eliwudingayo kuyilapho ligcina idatha yalo iyimfihlo.

 

Le ndlela idinga amaqembu amaningi ukuthi asuse ukubethela kumadathasethi akhiqiziwe, okuwenza abe yimfihlo kakhulu. Nokho, i-SMPC idinga isikhathi esibalulekile ukuze ikhiqize imiphumela.

Izindlela zesizukulwane esedlule zokwenza idatha ingaziwaAmathuluzi esizukulwane esilandelayo sokungaziwa
Ukuqamba amagamaIshintsha izihlonzi zomuntu ngamagama mbumbulu kuyilapho igcina ithebula lemephu elihlukile.- Ukuphathwa kwedatha yakwa-HR
- Ukusebenzisana kokusekelwa kwamakhasimende
- Ucwaningo locwaningo		Ukwenziwa kwedatha yokwenziwaIsebenzisa i-algorithm ukuze idale amasethi edatha amasha afana nesakhiwo sedatha yangempela kuyilapho iqinisekisa ubumfihlo nokuhambisana.- Ukuthuthukiswa kohlelo lokusebenza oluqhutshwa yidatha
- Ucwaningo lwezokwelapha
- Ukumodela okuthuthukile
- Ukumaketha kwamakhasimende
Ukufihla idathaIshintsha idatha yangempela enezinhlamvu zomgunyathi, igcine ifomethi efanayo.- Ukubika ngezezimali
- Izimo zokuqeqeshwa komsebenzisi		Ukubethela kwe-HomomorphicIguqulela idatha kumbhalo we-cipher ngenkathi igcina ukwakheka kwasekuqaleni, ivumela ukubalwa kwedatha ebethelwe ngaphandle kokukhishwa kwekhodi.- Vikela ukucubungula idatha
- Data computation Outsourcing
- Ukuhlaziywa kwedatha okuthuthukisiwe
Ukuhlanganisa (aggregation)Yehlisa imininingwane yedatha, iqoqa idatha efanayo.- Izifundo zezibalo zabantu
- Izifundo zemakethe		Vikela ukubala kwamaqembu amaningiIndlela ye-Cryptographic lapho amaqembu amaningi abethela okokufaka kwawo, enze izibalo, futhi athole imiphumela ehlanganyelwe.- Ukuhlaziya idatha ngokubambisana
- Ukuhlanganisa idatha eyimfihlo
UkuphazanyiswaIlungisa amasethi edatha ngokusondeza amanani kanye nokwengeza umsindo ongahleliwe.- Ukuhlaziywa kwedatha yezomnotho
- Ucwaningo lwephethini yethrafikhi
- Ukuhlaziywa kwedatha yokuthengisa
Ukushintsha idathaIhlela kabusha amanani esibaluli sedathasethi ukuze kuvinjelwe ukulandeleka okuqondile.- Izifundo zokuhamba
- Ukuhlaziywa kwedatha yezemfundo
IsibonakalisoIfaka esikhundleni idatha ebucayi ngamathokheni angazweli.- Ukucubungula inkokhelo
- Ucwaningo lobudlelwano bekhasimende
RandomizationYengeza idatha engahleliwe noma mbumbulu ukuze uguqule amanani.- Ukuhlaziywa kwedatha ye-Geospatial
- Izifundo zokuziphatha
Ukuhlelwa kabusha kwedathaIsusa ulwazi kumasethi edatha,- Ukucutshungulwa kwemibhalo esemthethweni
- Ukuphathwa kwamarekhodi

Ithebula 1. Ukuqhathanisa phakathi kwamasu Okungaziwa kanye nesizukulwane esilandelayo

I-Smart data de-identification njengendlela entsha yokwenza idatha ingaziwa

I-Smart de-identification yenza idatha ingaziwa kusetshenziswa i-AI-generated idatha yokwenziwa mbumbulu. Amapulatifomu anezici aguqula ulwazi olubucayi lube idatha ethobelayo, engakhonjwa ngezindlela ezilandelayo:

  • Isofthiwe ye-De-identification ihlaziya idathasethi ekhona futhi ihlonze i-PII ne-PHI.
  • Izinhlangano zingakhetha ukuthi iyiphi idatha ebucayi ezothathelwa indawo ngolwazi lokwenziwa.
  • Ithuluzi likhiqiza amasethi edatha amasha anedatha ethobelayo.

Lobu buchwepheshe buwusizo lapho izinhlangano zidinga ukuhlanganyela futhi zishintshisane ngedatha ebalulekile ngokuvikelekile. Kuyasiza futhi uma idatha idinga ukwenziwa ukuthi ihambisane nokumbalwa yolwazi oluhlobene. 

I-Smart de-identification igcina ubudlelwano obungaphakathi kwedatha buqinile ngokusebenzisa imephu engashintshi. Izinkampani zingasebenzisa idatha ekhiqiziwe ukuhlaziya okujulile kwebhizinisi, ukuqeqeshwa komshini wokufunda, nokuhlolwa komtholampilo.

Ngezindlela eziningi kangaka, udinga indlela yokunquma ukuthi ithuluzi lokufihla igama likulungele yini.

Ungalikhetha kanjani ithuluzi ledatha elilungile lokungaziwa

Sihlanganise uhlu lwezinto ezibalulekile okufanele zicatshangelwe lapho ukhetha ithuluzi lokwenza idatha ingaziwa:
  • Ukukala kokusebenza. Khetha ithuluzi elikwazi ukukala phezulu naphansi ngokuhambisana nezidingo zakho zokusebenza. Thatha isikhathi sokuhlola ingcindezi yokusebenza kahle ngaphansi komthwalo owandayo womsebenzi.
  • Ukuhlanganisa. Amathuluzi okwenza idatha angaziwa kufanele ahlanganiswe ngokushelelayo namasistimu akho akhona kanye nesofthiwe yokuhlaziya, kanye nokuhlanganiswa okuqhubekayo kanye nomzila wepayipi wokuphakelwa okuqhubekayo (CI/CD). Ukuhambisana nokugcinwa kwedatha yakho, ukubethela, kanye nezinkundla zokucubungula kubalulekile ekusebenzeni okungenazihibe.
  • Ukumepha idatha okungaguquki. Qiniseka ukuthi izilondolozi zedatha ezingaziwa zinobuqotho nokunemba kwezibalo ezifanele izidingo zakho. Amasu esizukulwane sangaphambilini sokungaziwa asula izinto ezibalulekile kumadathasethi. Amathuluzi esimanje, nokho, agcina ubuqotho bereferensi, okwenza idatha inembe ngokwanele ezimweni zokusetshenziswa ezithuthukile.
  • Izindlela zokuphepha. Beka kuqala amathuluzi avikela idathasethi yangempela kanye nemiphumela engaziwa ngokumelene nezinsongo zangaphakathi nezangaphandle. Isofthiwe kufanele isetshenziswe kungqalasizinda yekhasimende evikelekile, izilawuli zokufinyelela ezisekelwe endimeni, kanye nama-API wokuqinisekisa izinto ezimbili.
  • Ingqalasizinda ethobelayo. Qinisekisa ukuthi ithuluzi ligcina amasethi edatha endaweni yokugcina evikelekile ethobelana nemithetho ye-GDPR, HIPAA, kanye ne-CCPA. Ngaphezu kwalokho, kufanele isekele isipele idatha kanye namathuluzi okuthola kabusha ukuze kugwenywe ukuthi kube khona isikhathi sokuphumula ngenxa yamaphutha angalindelekile.
  • Imodeli yokukhokha. Cabangela izindleko ezisheshayo nezesikhathi eside ukuze uqonde ukuthi ithuluzi liyahambisana yini nesabelomali sakho. Amanye amathuluzi akhelwe amabhizinisi amakhulu namabhizinisi amaphakathi, kanti amanye anamamodeli aguquguqukayo nezinhlelo ezisekelwe ekusetshenzisweni.
  • Ukusekela kwezobuchwepheshe. Linganisa ikhwalithi nokutholakala kokusekelwa kwamakhasimende nobuchwepheshe. Umhlinzeki angase akusize uhlanganise amathuluzi edatha okwenza ungaziwa, uqeqeshe abasebenzi, futhi ubhekane nezinkinga zobuchwepheshe. 
Ungahlola okuningi mayelana isofthiwe yokwenza idatha ingaziwa ezisekelweni zokubuyekeza. Amasayithi afana ne-G2, Gartner, ne-PeerSpot akuvumela ukuthi uqhathanise izici futhi aqukathe impendulo evela ezinkampanini eziwasebenzisile. Naka ngokukhethekile izinto abangazithandi. Ukugijima kwesilingo kungaveza okuningi mayelana nethuluzi. Uma kungenzeka, beka phambili abahlinzeki abanikeza inguqulo yedemo noma isilingo samahhala. Ngenkathi uhlola isixazululo, kufanele uhlole indlela yokunquma ngayinye engenhla.

Amathuluzi angu-7 angcono kakhulu okwenza idatha engaziwa

Manje njengoba usuyazi ukuthi yini okufanele uyibheke, ake sihlole ukuthi yini esikholelwa ukuthi ingamathuluzi athembeke kakhulu kuwo imaski ulwazi olubucayi.

1. USyntho

I-Syntho Synthetic Data Platform

I-Syntho inikwa amandla yi-synthetic data generation software lokho kunikeza amathuba okungaziwa okuhlakaniphile. Ukwakhiwa kwedatha okusekelwe emithethweni yesikhulumi kuletha ukuguquguquka, okuvumela izinhlangano ukuthi zenze idatha ngokuya ngezidingo zazo.

Iskena esinamandla we-AI ihlonza yonke i-PII ne-PHI kuwo wonke amasethi edatha, amasistimu, nezinkundla. Izinhlangano zingakhetha ukuthi iyiphi idatha ezizoyisusa noma zihlekise ukuze zithobelane nezindinganiso zokulawula. Ngaleso sikhathi, isici sokusethaphana sisiza ukwenza amasethi edatha amancane ukuze ahlolwe, kwehliswe umthwalo kusitoreji nokucubungula izinsiza.

Inkundla ilusizo emikhakheni eyahlukene, okuhlanganisa ukunakekelwa kwezempilo, ukuphathwa kwe-supply chain, kanye nezezimali. Izinhlangano zisebenzisa inkundla ye-Syntho ukuze zenze okungakhiqizi futhi zithuthukise izimo zokuhlola ngokwezifiso.

Ungafunda kabanzi ngamakhono ka-Syntho nge ukuhlela idemo.

2. K2view

I-K2View iyinkundla yokufihla idatha eklanyelwe ukuguqula amasethi edatha abe idatha ethobelayo. Amakhono okuhlanganisa athuthukile avumela uku yenza idatha ingaziwa kusukela kusizindalwazi, amathebula, amafayela ayisicaba, imibhalo, nezinhlelo zefa. Futhi kwenza kube lula ukuguqula imininingwane yolwazi ibe amasethi amancane amayunithi ebhizinisi ahlukene.  Inkundla inikeza amakhulukhulu ukufihla idatha imisebenzi futhi ivumela uku khiqiza idatha yokwenziwa. Ubuqotho obuyinkomba bedatha efihliwe bugcinwa kumasethi edatha akhiqiziwe. Ukwengeza, idatha egciniwe igcinwa ivikelekile ngokubethela, kanye nezilawuli zokufinyelela ezisekelwe endimeni nezisekelwe kusibaluli.  Nakuba ukusethwa kwe-K2View kuyinkimbinkimbi futhi ijika lokufunda lihamba kancane, ithuluzi alidingi ulwazi lokuhlela. Isofthiwe ebizayo kodwa inikeza izinhlelo zangokwezifiso zamanani kanye nesilingo samahhala. Ungakwazi ukujwayelana nokusebenza kwayo ngaphandle kobungozi obuncane.

3. I-Broadcom

Broadcom Isiphathi Sedatha Yokuhlola sifiphaza ulwazi oluyimfihlo kudathasethi ngamasu esizukulwane esilandelayo sokungaziwa kwedatha. Phakathi kwezinye izinto, ihlinzeka ngokuhlelwa kabusha kwedatha, ukwenza amathokheni, nokukhiqizwa kwedatha yokwenziwa.  Ama-API avuliwe akuvumela ukuthi ulingane leli thuluzi kumapayipi ahlukahlukene e-CI/CD, ubuhlakani bebhizinisi, nezinhlelo zokuphatha imisebenzi. Lokhu kuvumela ukuqhubeka ukufihla idatha ngenkathi sigcina ukuthobelana. Isici sayo sokugcina impahla sinika amandla ukusetshenziswa kabusha okusebenzayo kwedatha yokuhlola yekhwalithi ephezulu kuwo wonke amaqembu namaphrojekthi. Le software idumile phakathi kosayizi abahlukene bebhizinisi ngenxa yentengo eguquguqukayo. Eqinisweni, ukusetha kungase kudle isikhathi. Ohlangothini olukhanyayo, umhlinzeki unikeza ukwesekwa kwezobuchwepheshe okusabelayo kanye nenqwaba yemihlahlandlela yokuqeqesha.

4. Ikakhulu i-AI

Ikakhulukazi i-AI ikhiqiza izinguqulo ezithobelayo, zokwenziwa zedatha yangempela yokuhlola okuthuthukile. Njengamanye amathuluzi esimanje, iphatha izinhlobo zedatha ehlelekile ehlukahlukene, kusukela kwezinombolo ukuya esikhathini. Iplatifomu ivimbela ukucwiliswa ngokweqile kanye nama-outliers, okwenza idatha yokwenziwa ingakwazi ukukhonjwa futhi, ngenxa yalokho, ihambisane Ubumfihlo bedatha imithetho. I-UI esekelwe kuwebhu enembile ivumela ukudalwa kwedatha yekhwalithi ephezulu ngaphandle kokufaka amakhodi okweqile. Nokho, inkundla ayinazo izinto zokufunda. Ukusebenza ngokwako kulinganiselwe, futhi. Isibonelo, awukwazi ukubumba okukhiphayo ngokusekelwe kuhlelo lwedatha noma ucacise isilinganiso semizwa ngokuningiliziwe. Futhi, nakuba zithengeka, amanani entengo awabonisi ngale kakhulu mayelana nemikhawulo yomsebenzisi nemigqa yedatha.

5. I-ARX

Ithuluzi Lokungaziwa Kwedatha ye-ARX iwumthombo wamahhala, ovulekile ithuluzi lokungaziwa esekela amamodeli obumfihlo ahlukahlukene nezindlela zokuguqula idatha. Isici sayo sokuhlaziya ukusetshenziswa sivumela ukuqhathanisa idatha eguquliwe neyangempela kusetshenziswa amamodeli okulahlekelwa kolwazi kanye nezibalo ezichazayo. Lesi sixazululo singasingatha amasethi edatha amakhulu ngisho naku-hardware yefa. Ngale kwesixhumi esibonakalayo esisebenziseka kalula, i-ARX inikeza umtapo wezincwadi wesofthiwe one-API yomphakathi. Lokhu kuvumela izinhlangano ukuthi zihlanganise ukungaziwa kumasistimu ahlukahlukene futhi zithuthukise izindlela zokungahlonzi ngokwezifiso.

6. Amnesia

Amnesia ithuluzi lomthombo ovulekile elakhelwe ngokwengxenye ku-codebase ye-ARX eyenza ngokuzenzakalelayo ukwenziwa kungaziwa kwedatha enenani elimisiwe, lethebula, nehlanganisiwe. Lesi sixazululo sisusa ngempumelelo izihlonzi eziqondile nezesibili ukuze kuvinjelwe ukulandelelwa emuva kubantu abavela emithonjeni yangaphandle. Le software iyahambisana nezinhlelo zokusebenza ezinkulu njengeWindows, Linux, neMacOS. Kodwa-ke, njengoba iyithuluzi elithuthukayo ngokuqhubekayo, lisantula ukusebenza okuthile. Isibonelo, i-Amnesia ayikwazi ukuhlola noma ilungiselele idatha ekhiqiziwe engakhonjiwe yokusetshenziswa.

7. I-Tonic.ai

I-Tonic.ai iyinkundla yedatha yokwenziwa eyenza ukuhlinzekwa kwedatha ethobelayo yokuhlola, ukufunda ngomshini, nokucwaninga. Inkundla inikeza kokubili izinketho zengqalasizinda ezisekelwe emafini, ezisekelwa usizo lobuchwepheshe olusekelayo. Ukusethwa kokuqala nokufezeka kwevelu egcwele kudinga isikhathi nonjiniyela abanolwazi. Kufanele futhi wenze ngendlela oyifisayo futhi udale imibhalo, njengoba inkundla ingasekeli izimo ezithile zokusetshenziswa (njengocwaningo lomtholampilo). I-Tonic.ai futhi ayisekeli eminye imininingwane, ikakhulukazi i-Azure SQL. Kwelinye inothi elincane, izinhlelo zentengo kufanele zicaciswe ngokuqondile ngumhlinzeki.

Amathuluzi okwenza idatha asebenzise izimo

Izinkampani kwezezimali, ezempilo, ezokukhangisa, nenkonzo yomphakathi zisebenzisa amathuluzi okwenza ungaziwa ukuze zihlale zithobela imithetho yobumfihlo bedatha. Idathasethi engakhonjwanga isetshenziswa ezimeni ezahlukahlukene.

Ukuthuthukiswa kweSoftware nokuhlolwa

Amathuluzi okwenza ungaziwa avumela onjiniyela besofthiwe, abahloli, nezingcweti ze-QA ukuthi zisebenze namasethi edatha angokoqobo ngaphandle kokudalula i-PII. Amathuluzi athuthukile asiza amaqembu ukuthi azilungiselele idatha edingekayo elingisa izimo zokuhlola zomhlaba wangempela ngaphandle kwezinkinga zokuthobela. Lokhu kusiza izinhlangano ukuthi zithuthukise ukusebenza kahle kwesoftware yazo kanye nekhwalithi yesoftware.

Izimo zangempela:

Ucwaningo lwezokwelapha

Abacwaningi bezokwelapha, ikakhulukazi embonini yezemithi, benza ngaziwa idatha ukuze balondoloze ubumfihlo bezifundo zabo. Abacwaningi bangahlaziya amathrendi, izibalo zabantu besiguli, nemiphumela yokwelashwa, okunikela entuthukweni yezokwelapha ngaphandle kokufaka ubumfihlo besiguli engcupheni.

Izimo zangempela:

Ukuvimbela ukukhwabanisa

Ekuvimbeleni ukukhwabanisa, amathuluzi okwenza ungaziwa avumela ukuhlaziya okuvikelekile kwedatha yokwenziwayo, ukuhlonza amaphethini anonya. Amathuluzi okususa ukuhlonza futhi avumela ukuqeqesha isofthiwe ye-AI kudatha yangempela ukuthuthukisa ukukhwabanisa nokutholwa kwengozi.

Izimo zangempela:

Ukumaketha kwamakhasimende

Amasu okwenza idatha angaziwa asiza ukuhlola okuthandwa yikhasimende. Izinhlangano zabelana ngamasethi edatha okuziphatha angakhonjiwe nabalingani bazo bebhizinisi ukuze kucwengisiswe amasu okumaketha aqondiwe futhi zenze ulwazi lomsebenzisi lube ngokwakho.

Izimo zangempela:

Ukushicilelwa kwedatha yomphakathi

Ama-ejensi nezigungu zikahulumeni zisebenzisa ukungaziwa kwedatha ukuze zabelane futhi zicubungule ulwazi lwasesidlangalaleni ngokusobala ezinhlelweni ezihlukahlukene zomphakathi. Kuhlanganisa ukuqagela kobugebengu okusekelwe kudatha evela kumanethiwekhi omphakathi namarekhodi obugebengu, ukuhlela amadolobha okusekelwe kumanani abantu nemizila yezokuthutha zomphakathi, noma izidingo zokunakekelwa kwezempilo kuzo zonke izifunda ngokusekelwe emaphethini ezifo.

Izimo zangempela:

Lezi yizibonelo ezimbalwa nje esizikhethayo. I isofthiwe yokungaziwa isetshenziswa kuzo zonke izimboni njengendlela yokwenza ngokugcwele idatha etholakalayo.

Khetha amathuluzi angcono kakhulu okwenza idatha angaziwa

Zonke izinkampani zisebenzisa isofthiwe yesizindalwazi sokungaziwa ukuthobela imithetho yobumfihlo. Uma esuswa kulwazi lomuntu siqu, amasethi edatha angasetshenziswa futhi kwabelwane ngawo ngaphandle kwezingozi zenhlawulo noma izinqubo ze-bureaucratic.

Izindlela ezindala zokungaziwa ezinjengokushintshanisa idatha, ukufihla ubuso, nokuhlela kabusha akuvikelekile ngokwanele. Ukungahlonzwa kwedatha kuhlala kuyinto engenzeka, okuyenza ingathobeli noma ibe yingozi. Ngaphezu kwalokho, i-past-gen isofthiwe ye-anonymizer kuvame ukwehlisela phansi ikhwalithi yedatha, ikakhulukazi ku amasethi edatha amakhulu. Izinhlangano azikwazi ukuthembela kudatha enjalo ukuthola ukuhlaziya okuthuthukile.

Kufanele ukhethe i- best idatha engaziwa isofthiwe. Amabhizinisi amaningi akhetha inkundla ye-Syntho yokuhlonza i-PII yezinga eliphezulu, ukufihla ubuso, namandla okwenziwa kwedatha yokwenziwa. 


Ingabe unentshisekelo yokufunda okwengeziwe? Zizwe ukhululekile ukuhlola imibhalo yethu yomkhiqizo noma xhumana nathi ukuze uthole umboniso.

Mayelana umbhali

Uliana Krainska

Umphathi Wokuthuthukiswa Kwebhizinisi

Uliana Krainska, I-Business Development Executive kwa-Syntho, enolwazi lwamazwe ngamazwe ekuthuthukisweni kwesofthiwe kanye nemboni ye-SaaS, uneziqu ze-master in Digital Business and Innovation, evela e-VU Amsterdam.

Kule minyaka emihlanu edlule, u-Uliana ukhombise ukuzibophezela okuqinile ekuhloleni amakhono e-AI nokuhlinzeka ngosizo lwezeluleko lwebhizinisi lwamasu ukuze kusetshenziswe iphrojekthi ye-AI.

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