Zida Zabwino Kwambiri Zosadziwikiratu Zazinsinsi Zogwirizana ndi Zinsinsi
Mabungwe amagwiritsa ntchito zida zosadziwika bwino za data kuti achotse zambiri zodziwikiratu kuchokera pama dataset awo. Kusatsatira kungayambitse chindapusa chambiri kuchokera ku mabungwe owongolera ndi kusweka kwa deta. Popanda data yosadziwika, simungathe kugwiritsa ntchito kapena kugawana nawo mokwanira.
ambiri zida za anonymization sizingatsimikizire kuti zikutsatirani kwathunthu. Njira zakale zitha kusiya zidziwitso zamunthu pachiwopsezo chodziwitsidwa ndi omwe akuchita zoipa. Ena ziwerengero anonymization njira chepetsani mtundu wa dataset mpaka pomwe siwodalirika kusanthula deta.
Ife tiri Syntho adzakudziwitsani za njira zosadziwika bwino komanso kusiyana kwakukulu pakati pa zida zakale ndi zamtsogolo. Tikuwuzani za zida zabwino kwambiri zosadziwika bwino za data ndikuwonetsa zofunikira pakusankha.
M'ndandanda wazopezekamo
- Kodi data yopangidwa ndi chiyani
- Zimagwira ntchito bwanji
- Chifukwa chiyani mabungwe amagwiritsa ntchito
- Momwe mungayambire
Kodi zida zosazindikiritsa deta ndi chiyani?
Kusadziwika kwa data ndi njira yochotsera kapena kusintha zinsinsi zamagulu a data. Mabungwe satha kupeza, kugawana, ndi kugwiritsa ntchito deta yomwe ilipo yomwe ingapezeke mwachindunji kapena mosadziwika kwa anthu.
- General Data Protection Regulation (GDPR). Lamulo la EU imateteza zinsinsi za data yanu, kulamula chilolezo chokonza deta ndikupatsa anthu ufulu wopeza deta. United Kingdom ili ndi lamulo lofananalo lotchedwa UK-GDPR.
- California Consumer Privacy Act (CCPA). Lamulo lachinsinsi la California imayang'ana kwambiri za ufulu wa ogula kugawa deta.
- Health Insurance Portability and Accountability Act (HIPAA). Lamulo Lazinsinsi imakhazikitsa miyezo yotetezera chidziwitso chaumoyo wa wodwala.
Kodi zida zosadziwika bwino za data zimagwira ntchito bwanji?
Zida zosazindikiritsa za data jambulani zidziwitso zachinsinsi ndikusintha ndi data yokumba. Pulogalamuyi imapeza deta yotere m'matebulo ndi mizati, mafayilo amawu, ndi zolemba zojambulidwa.
Izi zimachotsa deta yazinthu zomwe zingalumikizane ndi anthu kapena mabungwe. Mitundu ya data yobisidwa ndi zida izi ndi:
- Zambiri zozindikirika (PII): Mayina, manambala odziwika, masiku obadwa, zolipirira, manambala a foni, ndi ma adilesi a imelo.
- Zotetezedwa Zotetezedwa (PHI): Imakhala ndi mbiri yachipatala, zambiri za inshuwaransi yazaumoyo, ndi chidziwitso chaumoyo wanu.
- Zambiri zachuma: Nambala za kirediti kadi, zambiri zamaakaunti aku banki, data yoyika ndalama, ndi zina zomwe zitha kulumikizidwa ndi mabungwe.
Mwachitsanzo, mabungwe azachipatala samatchula ma adilesi a odwala ndi ma adilesi kuti atsimikizire kuti HIPAA ikutsatira kafukufuku wa khansa. Kampani yazachuma idabisa masiku ochita malonda ndi malo muzosunga zawo kuti azitsatira malamulo a GDPR.
Ngakhale lingaliro ndilofanana, pali njira zingapo zosiyana data yosadziwika.
Deta anonymization njira
Kusadziwika kumachitika m'njira zambiri, ndipo si njira zonse zomwe zili zodalirika kuti zigwirizane ndi zofunikira. Gawoli likufotokoza kusiyana kwa mitundu yosiyanasiyana ya njira.
Kudzinamizira
pseudonymization ndi njira yosinthira pomwe zizindikiritso zamunthu zimasinthidwa ndi mayina ongopeka. Imasunga mapu pakati pa deta yoyambirira ndi yomwe yasinthidwa, ndi tebulo la mapu losungidwa padera.
Choyipa cha pseudonymizing ndikuti chimatha kusintha. Ndi zambiri zowonjezera, ochita zoyipa amatha kuzitsata kwa munthuyo. Pansi pa malamulo a GDPR, data yongopeka samatengedwa kuti ndi yosadziwika. Imakhalabe pansi pa malamulo oteteza deta.
Kusunga deta
Njira yosungira deta imapanga mtundu wofanana koma wabodza wa deta yawo kuti ateteze zambiri. Njirayi imalowetsa deta yeniyeni ndi zilembo zosinthidwa, kusunga mawonekedwe omwewo kuti agwiritsidwe ntchito bwino. Mwachidziwitso, izi zimathandiza kusunga magwiridwe antchito a dataset.
Zochita, kubisa deta nthawi zambiri amachepetsa data zothandiza. Ikhoza kulephera kusunga deta yoyambirirakagawidwe kapena mawonekedwe, kupangitsa kuti ikhale yocheperako pakuwunika. Vuto lina ndikusankha chobisa. Ngati zachitidwa molakwika, deta yobisika ikhoza kudziwikanso.
Generalization (kuphatikiza)
Generalization imapangitsa kuti data isatchulidwe kwambiri. Imasonkhanitsa deta yofanana pamodzi ndikuchepetsa ubwino wake, zomwe zimapangitsa kuti zikhale zovuta kusiyanitsa zidutswa za deta. Njirayi nthawi zambiri imakhala ndi njira zofotokozera mwachidule za data monga kuwerengera kapena kuwerengera kuti muteteze ma data.
Kuchulukitsa kungapangitse deta kukhala yopanda ntchito, pomwe kusakhazikika sikungapereke zinsinsi zokwanira. Palinso chiwopsezo cha kuwululidwa kotsalira, chifukwa magulu ophatikizidwa atha kuperekabe tsatanetsatane wokwanira kuzindikiritsa akaphatikizidwa ndi zina. magwero deta.
Kusokoneza
Kusokoneza kumasintha nkhokwe zoyambilira mwa kusonkhanitsa makonda ndikuwonjezera phokoso lachisawawa. Mfundo za deta zimasinthidwa mobisa, kusokoneza chikhalidwe chawo choyambirira ndikusunga machitidwe onse a deta.
Choyipa cha kusokoneza ndikuti deta sinadziwike kwathunthu. Ngati zosinthazo sizikukwanira, pali chiopsezo kuti zomwe zidayambika zitha kuzindikirikanso.
Kusinthana kwa data
Kusinthana ndi njira yomwe mikhalidwe mu dataset imasinthidwanso. Njirayi ndiyosavuta kugwiritsa ntchito. Zolemba zomaliza sizimayenderana ndi zolemba zoyambirira ndipo sizingawonekere komwe zidachokera.
Komabe, mosalunjika, ma dataset amakhalabe osinthika. Zomwe zasinthidwa zimakhala pachiwopsezo kuwululidwa ngakhale ndi magwero achiwiri ochepa. Kupatula apo, ndizovuta kusunga kukhulupirika kwa semantic kwa data ina yosinthidwa. Mwachitsanzo, posintha mayina mu database, dongosololi likhoza kulephera kusiyanitsa pakati pa mayina achimuna ndi achikazi.
Chizindikiro
Tokenization imalowa m'malo mwa zinthu zodziwika bwino za data ndi ma tokeni - zofananira zosagwirizana popanda zikhalidwe zomwe zingagwiritsidwe ntchito. The tokenized zambiri zambiri mwachisawawa zingwe manambala ndi zilembo. Njira imeneyi imagwiritsidwa ntchito nthawi zambiri kuteteza zambiri zandalama ndikusunga zomwe zimagwira ntchito.
Mapulogalamu ena amapangitsa kuti zikhale zovuta kuyang'anira ndikukulitsa ma token vaults. Dongosololi limadzetsanso chiwopsezo chachitetezo: chidziwitso chodziwika bwino chikhoza kukhala pachiwopsezo ngati wowukira adutsa mu encryption vault.
Randomization
Kusintha kwachisawawa kumasintha makonda ndi data yachisawawa komanso yachipongwe. Ndi njira yowongoka yomwe imathandiza kusunga chinsinsi cha zolemba zapayekha.
Njira imeneyi sigwira ntchito ngati mukufuna kusunga chiwerengero chenichenicho. Ndizotsimikizika kuti zitha kusokoneza data yomwe imagwiritsidwa ntchito pazinthu zovuta, monga data ya geospatial kapena temporal. Njira zosakwanira kapena zosagwiritsidwa ntchito molakwika sizingatsimikizire chitetezo chachinsinsi, mwina.
Kukonzanso kwa data
Kubwezeretsanso deta ndi njira yochotseratu chidziwitso m'ma dataset: kuyimitsa, kubisa, kapena kufufuta zolemba ndi zithunzi. Izi zimalepheretsa kulowa kwa sensitive deta yopanga ndipo ndizofala m'malemba azamalamulo ndi ovomerezeka. Ndizodziwikiratu kuti zimapangitsa kuti deta ikhale yosayenerera kuwerengera zowerengera zolondola, kuphunzira kwachitsanzo, ndi kafukufuku wachipatala.
Mwachiwonekere, njirazi zili ndi zolakwika zomwe zimasiya mipata yomwe ochita nkhanza angagwiritse ntchito molakwika. Nthawi zambiri amachotsa zinthu zofunika m'ma dataset, zomwe zimalepheretsa kugwiritsidwa ntchito kwawo. Izi sizili choncho ndi njira zamtundu womaliza.
M'badwo wotsatira anonymization zida
Mapulogalamu amakono osadziwikiratu amagwiritsa ntchito njira zotsogola kunyalanyaza chiopsezo chodziwikanso. Amapereka njira zotsatirira malamulo onse achinsinsi ndikusunga mawonekedwe a data.
Kupanga deta ya Synthetic
Kupanga deta ya Synthetic kumapereka njira yanzeru yosadziwika bwino ndikusunga zofunikira za data. Njirayi imagwiritsa ntchito ma aligorivimu kupanga ma dataset atsopano omwe amawonetsa mawonekedwe ndi katundu weniweni wa data.
Dongosolo la synthetic lilowa m'malo mwa PII ndi PHI ndi data yachipongwe yomwe siingathe kutsata anthu. Izi zimatsimikizira kutsata malamulo achinsinsi a data, monga GDPR ndi HIPAA. Pogwiritsa ntchito zida zopangira deta, mabungwe amaonetsetsa kuti zinsinsi zachinsinsi zisungidwa, kuchepetsa kuopsa kwa kuphwanya deta, ndikufulumizitsa chitukuko cha mapulogalamu oyendetsedwa ndi data.
Homomorphic encryption
Homomorphic encryption (kutanthawuza kuti "mapangidwe omwewo") amasintha deta mu ciphertext. Magulu a data obisidwa amakhalabe ndi mawonekedwe ofanana ndi omwe adasungidwa, zomwe zimapangitsa kuti kuyezetsa kukhale kolondola kwambiri.
Njira imeneyi zimathandiza kuchita computations zovuta mwachindunji pa data encrypted popanda kufunikira kumasulira kaye. Mabungwe amatha kusunga mafayilo obisika mumtambo wapagulu ndikukonza deta yakunja kwa anthu ena popanda kuwononga chitetezo. Deta iyi imagwirizananso, chifukwa malamulo achinsinsi sagwira ntchito pazosungidwa.
Komabe, ma algorithms ovuta amafunikira ukadaulo kuti akwaniritse bwino. Kupatula apo, kubisa kwa ma homomorphic kumachedwa kuposa momwe kumagwirira ntchito pa data yosasungidwa. Ikhoza kusakhala njira yabwino yothetsera magulu a DevOps ndi Quality Assurance (QA), omwe amafunikira kupeza mwachangu deta kuti ayesedwe.
Sungani mawerengedwe amagulu ambiri
Secure multiparty computation (SMPC) ndi njira yachinsinsi yopangira ma dataset molumikizana ndi mamembala angapo. Chipani chilichonse chimabisa zomwe alemba, chimawerengera, ndikusanthula deta. Mwanjira iyi, membala aliyense amapeza zotsatira zomwe amafunikira ndikusunga chinsinsi chawo.
Njira iyi imafuna maphwando angapo kuti asinthe ma dataset opangidwa, zomwe zimapangitsa kuti zikhale zachinsinsi. Komabe, SMPC imafuna nthawi yofunikira kuti ipange zotsatira.
| Njira zodziwitsa anthu zam'mbuyomu | M'badwo wotsatira anonymization zida | ||||
|---|---|---|---|---|---|
| Kudzinamizira | Imalowetsa zizindikiritso zamunthu ndi mayina ongoyerekeza kwinaku ndikusunga tebulo losiyana la mapu. | - Kasamalidwe ka data ka HR - Kulumikizana kwamakasitomala - Kafukufuku wofufuza | Kupanga deta ya Synthetic | Amagwiritsa ntchito ma algorithm kupanga ma dataset atsopano omwe amawonetsa momwe data yeniyeni ikugwiritsidwira ntchito ndikuwonetsetsa zachinsinsi komanso kutsatira. | - Kukula koyendetsedwa ndi data - Kafukufuku wachipatala - Ma modeling apamwamba - Kutsatsa kwamakasitomala |
| Kusunga deta | Amasintha deta yeniyeni yokhala ndi zilembo zabodza, kusunga mawonekedwe omwewo. | - Malipoti azachuma - Malo ophunzitsira ogwiritsa ntchito | Homomorphic encryption | Imasintha data kukhala ciphertext ndikusunga zomwe zidakhazikitsidwa, kulola kuwerengera pa data yobisidwa popanda kusungidwa. | - Kutetezedwa kwa data - Kutumiza kwa data kuchokera kunja - Kusanthula kwatsatanetsatane kwa data |
| Generalization (kuphatikiza) | Amachepetsa tsatanetsatane wa data, kupanga magulu ofanana. | - Maphunziro a kuchuluka kwa anthu - Maphunziro a msika | Sungani mawerengedwe amagulu ambiri | Njira ya Cryptographic pomwe maphwando angapo amabisa zomwe alemba, kuwerengera, ndikupeza zotsatira zolumikizana. | - Kusanthula deta yogwirizana - Kuphatikiza kwachinsinsi |
| Kusokoneza | Imasintha ma data pozungulira makonda ndikuwonjezera phokoso lachisawawa. | - Kusanthula deta zachuma - Kafukufuku wamagalimoto - Kusanthula kwa data yogulitsa | |||
| Kusinthana kwa data | Imasanjanso mayendedwe amtundu wa data kuti apewe kufufuza mwachindunji. | - Maphunziro a mayendedwe - Kusanthula deta yamaphunziro | |||
| Chizindikiro | Imalowetsa zinthu zachinsinsi ndi zizindikiro zosakhudzidwa. | - Kukonza malipiro - Kafukufuku wokhudzana ndi kasitomala | |||
| Randomization | Imawonjezera data yachisawawa kapena yonyozeka kuti musinthe makonda. | - Kusanthula kwa data ya Geospatial - Maphunziro a khalidwe | |||
| Kukonzanso kwa data | Imachotsa zambiri m'magulu a data, | - Kukonza zikalata zamalamulo - Kasamalidwe ka zolemba | |||
Table 1. The kufanizitsa Previous- ndi m'badwo wotsatira anonymization njira
Smart data de-identification ngati njira yatsopano yosazindikiritsa deta
Smart de-identification imabisa deta pogwiritsa ntchito AI yopangidwa data yopeka yopangidwa. Mapulatifomu okhala ndi mawonekedwe amasintha zinthu zachinsinsi kukhala zovomerezeka, zosazindikirika motere:
- Mapulogalamu a de-identification amasanthula ma data omwe alipo ndikuzindikiritsa PII ndi PHI.
- Mabungwe atha kusankha kuti ndi data iti yachinsinsi yomwe ingasinthidwe ndi chidziwitso chabodza.
- Chidachi chimapanga ma dataset atsopano okhala ndi data yogwirizana.
Ukadaulowu ndiwothandiza ngati mabungwe akufunika kugwirizanitsa ndikusinthanitsa deta yofunikira motetezeka. Zimathandizanso ngati deta ikufunika kuti igwirizane ndi zingapo zolemba zachibale.
Smart de-identification imasunga maubale omwe ali mkati mwazonse kudzera pamapu osasinthasintha. Makampani atha kugwiritsa ntchito zomwe zapangidwa pofufuza mozama zamabizinesi, kuphunzitsa makina ophunzirira, komanso mayeso azachipatala.
Ndi njira zambiri, mukufunikira njira yodziwira ngati chida chodziwikiratu ndi choyenera kwa inu.
Kodi kusankha bwino deta anonymization chida
- scalability ntchito. Sankhani chida chomwe chingathe kukweza ndi kutsika malinga ndi zofuna zanu. Tengani nthawi kuti mutsimikize kuyesa magwiridwe antchito pansi pa kuchuluka kwa ntchito.
- Kuphatikiza. Zida zosadziwika bwino za data ziyenera kuphatikizana bwino ndi makina anu omwe alipo komanso mapulogalamu owunikira, komanso kuphatikizika kosalekeza ndi kutumizira mosalekeza (CI/CD) mapaipi. Kugwirizana ndi kusungirako deta yanu, kubisa, ndi mapulatifomu okonzekera ndikofunikira kuti muzichita zinthu mopanda msoko.
- Kuyika kwa data mosasinthasintha. Onetsetsani kuti osunga deta osadziwika ali ndi kukhulupirika komanso zowerengera zomwe zili zoyenera pazosowa zanu. Njira za m'mibadwo yam'mbuyo zosadziwika bwino zimafufuta zinthu zofunika pamagulu a data. Zida zamakono, komabe, zimasunga umphumphu, zomwe zimapangitsa kuti deta ikhale yolondola mokwanira pazochitika zapamwamba.
- Njira zotetezera. Ikani patsogolo zida zomwe zimateteza ma dataset enieni ndi zotsatira zosadziwika kuopseza mkati ndi kunja. Pulogalamuyi iyenera kuyikidwa pamalo otetezeka a kasitomala, kuwongolera kotengera magawo, ndi ma API otsimikizira zinthu ziwiri.
- Zogwirizana ndi zomangamanga. Onetsetsani kuti chidacho chimasunga zosungiramo zotetezedwa zomwe zikugwirizana ndi malamulo a GDPR, HIPAA, ndi CCPA. Kuphatikiza apo, iyenera kuthandizira zida zosunga zobwezeretsera ndi kuchira kuti zipewe kuthekera kwanthawi yopumira chifukwa cha zolakwika zosayembekezereka.
- Chitsanzo cha malipiro. Ganizirani mtengo wanthawi yomweyo komanso wanthawi yayitali kuti mumvetsetse ngati chidacho chikugwirizana ndi bajeti yanu. Zida zina zimapangidwira mabizinesi akuluakulu ndi mabizinesi apakatikati, pomwe zina zimakhala ndi mitundu yosinthika komanso mapulani ogwiritsira ntchito.
- Othandizira ukadaulo. Unikani mtundu ndi kupezeka kwa kasitomala ndi chithandizo chaukadaulo. Wothandizira atha kukuthandizani kuti muphatikize zida zosadziwika, kuphunzitsa ogwira ntchito, ndi kuthana ndi zovuta zaukadaulo.
Zida 7 zabwino kwambiri zosazindikiritsa deta
Tsopano popeza mukudziwa zomwe muyenera kuyang'ana, tiyeni tifufuze zomwe tikukhulupirira kuti ndi zida zodalirika kwambiri bisa zidziwitso zachinsinsi.
1. Syntho
Syntho imayendetsedwa ndi mapulogalamu opangira data zomwe zimapereka mwayi wodzizindikiritsa mwanzeru. Kupanga kwa data pamapulatifomu kumabweretsa kusinthasintha, kumathandizira mabungwe kupanga data malinga ndi zosowa zawo.
Scanner yoyendetsedwa ndi AI imazindikiritsa PII ndi PHI zonse pamasamba, makina, ndi nsanja. Mabungwe amatha kusankha deta yomwe angachotse kapena kunyoza kuti agwirizane ndi malamulo. Pakadali pano, mawonekedwe ang'onoang'ono amathandizira kupanga ma dataseti ang'onoang'ono kuti ayesedwe, kuchepetsa kulemetsa kosungirako ndi kukonza zinthu.
Pulatifomuyi ndi yothandiza m'magawo osiyanasiyana, kuphatikiza chisamaliro chaumoyo, kasamalidwe ka supply chain, ndi zachuma. Mabungwe amagwiritsa ntchito nsanja ya Syntho kupanga zosapanga ndikupanga zochitika zoyeserera.
Mutha kudziwa zambiri za kuthekera kwa Syntho ndi kukonza demo.
2. K2view
3. Broadcom
4. Nthawi zambiri AI
5. ARX
6. Amnesia
7. Tonic.ai
Data anonymization zida ntchito milandu
Makampani azachuma, azaumoyo, otsatsa, ndi ntchito zaboma amagwiritsa ntchito zida zodziwitsa anthu kuti asatchule dzina kuti asunge malamulo achinsinsi. Ma dataset omwe sanazindikiridwe amagwiritsidwa ntchito pazinthu zosiyanasiyana.
Kupanga mapulogalamu ndi kuyesa
Zida zosadziwika bwino zimathandizira akatswiri opanga mapulogalamu, oyesa, ndi akatswiri a QA kuti azigwira ntchito ndi zosungidwa zenizeni popanda kuwulula PII. Zida zamakono zimathandiza magulu kudzipezera okha deta yofunikira yomwe imatsanzira zochitika zenizeni zapadziko lapansi popanda kutsata malamulo. Izi zimathandiza mabungwe kupititsa patsogolo chitukuko cha mapulogalamu awo ndi khalidwe la mapulogalamu.
Zochitika zenizeni:
- Mapulogalamu a Syntho adapanga deta yosadziwika zomwe zimasunga ziwerengero za data yeniyeni, zomwe zimathandiza omanga kuyesa zochitika zosiyanasiyana mofulumira kwambiri.
- Malo osungiramo katundu a BigQuery a Google amapereka mawonekedwe osadziwika kuthandiza mabungwe kugawana deta ndi ogulitsa popanda kuphwanya malamulo achinsinsi.
Kafukufuku wa chipatala
Ofufuza zachipatala, makamaka ogulitsa mankhwala, amabisa deta kuti asunge zinsinsi za maphunziro awo. Ofufuza amatha kusanthula zomwe zikuchitika, kuchuluka kwa odwala, ndi zotsatira za chithandizo, zomwe zimathandizira kupita patsogolo kwachipatala popanda kuyika chinsinsi cha odwala.
Zochitika zenizeni:
- Erasmus Medical Center imagwiritsa ntchito zida za Syntho za AI zosadziwika kupanga ndi kugawana ma dataset apamwamba kwambiri ofufuza zamankhwala.
Kupewa zachinyengo
Popewa chinyengo, zida zosadziwika bwino zimalola kusanthula kotetezedwa kwa data yamalonda, kuzindikira machitidwe oyipa. Zida zodziwikiratu zimalolanso kuphunzitsa pulogalamu ya AI pazidziwitso zenizeni kuti zithandizire chinyengo komanso kuzindikira zoopsa.
Zochitika zenizeni:
- Brighterion wophunzitsidwa ndi Mastercard's data transaction osadziwika kuti alemeretse mtundu wake wa AI, kupititsa patsogolo ziwonetsero zachinyengo ndikuchepetsa zonena zabodza.
Kutsatsa kwamakasitomala
Njira zosadziwika bwino za data zimathandizira kuwunika zomwe makasitomala amakonda. Mabungwe amagawana zinthu zosadziwika bwino ndi anzawo mabizinesi kuti akonzenso njira zotsatsira zomwe akufuna komanso kusintha zomwe azigwiritsa ntchito.
Zochitika zenizeni:
- Syntho's data anonymization nsanja idaneneratu molondola kusintha kwamakasitomala pogwiritsa ntchito deta yopanga zopangidwa kuchokera ku dataset ya makasitomala opitilira 56,000 okhala ndi mizati 128.
Zofalitsa zapagulu
Mabungwe ndi mabungwe aboma amagwiritsa ntchito kusadziwikiratu za data kugawana ndikusintha zidziwitso za anthu momveka bwino pazoyeserera zosiyanasiyana za anthu. Zimaphatikizanso kulosera zaupandu motengera deta yochokera m'malo ochezera a pa Intaneti ndi mbiri yaupandu, kukonzekera m'matauni motengera kuchuluka kwa anthu komanso njira zoyendera za anthu onse, kapena zosowa zachipatala m'magawo osiyanasiyana malinga ndi momwe matenda amakhalira.
Zochitika zenizeni:
- Indiana University idagwiritsa ntchito foni yam'manja yosadziwika kuchokera kwa apolisi pafupifupi 10,000 kudutsa mizinda 21 yaku US kuti iwonetse kusagwirizana kwa oyang'anira oyandikana nawo potengera chikhalidwe cha anthu.
Izi ndi zitsanzo zochepa chabe zomwe timasankha. The pulogalamu ya anonymization amagwiritsidwa ntchito m'mafakitale onse ngati njira yopezera zambiri zomwe zilipo.
Sankhani zida zabwino kwambiri zosazindikiritsa deta
Makampani onse amagwiritsa ntchito pulogalamu ya database ya anonymization kutsatira malamulo achinsinsi. Mukachotsedwa pazambiri zanu, ma dataset atha kugwiritsidwa ntchito ndikugawidwa popanda chiwopsezo cha chindapusa kapena machitidwe abungwe.
Njira zakale zosadziwika bwino monga kusinthana kwa data, masking, ndi kukonzanso sizotetezedwa mokwanira. Kuzindikiritsa deta imakhalabe zotheka, zomwe zimapangitsa kuti zisagwirizane kapena zowopsa. Komanso, past-gen pulogalamu ya anonymizer nthawi zambiri amawononga mtundu wa data, makamaka mu madeti akuluakulu. Mabungwe sangadalire deta yotereyi kuti ifufuze zapamwamba.
Muyenera kusankha bwino deta anonymization mapulogalamu. Mabizinesi ambiri amasankha nsanja ya Syntho kuti ikhale yodziwika bwino kwambiri ya PII, masking, ndi kuthekera kopanga deta.
Kodi mukufuna kudziwa zambiri? Khalani omasuka kufufuza zolemba zathu zamalonda kapena funsani ife kuti tiwonetsere.
Ponena za wolemba
Oyang'anira Development Development
Uliana Krainska, Business Development Executive ku Syntho, yemwe ali ndi chidziwitso chapadziko lonse pakupanga mapulogalamu ndi makampani a SaaS, ali ndi digiri ya master mu Digital Business and Innovation, kuchokera ku VU Amsterdam.
Pazaka zisanu zapitazi, Uliana wawonetsa kudzipereka kokhazikika pakuwunika luso la AI ndikupereka upangiri wamabizinesi kuti akwaniritse projekiti ya AI.
Sungani kalozera wanu wazinthu zopangira tsopano!
- Kodi data yopanga ndi chiyani?
- Chifukwa chiyani mabungwe amachigwiritsa ntchito?
- Mtengo wowonjezera wamakasitomala opangira data
- Momwe mungayambire
