Smart De-kuzivikanwa uye synthetization
Shandisa yedu yakanakisa-yekuita mhinduro kugadzira data rekuyedza rinoratidza data rekugadzira rekuyedza uye kusimudzira mune anomiririra mamiriro.
Kushandisa data rako rekutanga sedata rekuyedza hazvibvumidzwe
Kuedza uye kusimudzira ine mumiriri bvunzo data kwakakosha kuendesa mamiriro-e-iyo-mhinduro mhinduro. Kushandisa data rekutanga rekugadzira rinoita sezviri pachena, asi rinowanzonetsa sezvo risingagone kungoshandiswa nekuti:
- ine (kuvanzika) ruzivo rwakadzama,
- ishoma, ishoma kana kupotsa data
- kana kuti haipo zvachose.
Izvi zvinounza matambudziko kumasangano mazhinji mukuwana data rebvunzo chairo. Nekudaro, Syntho inotsigira ese akanakisa maitiro ekugadzirisa kugadzirisa yako bvunzo data chaiko.
Maitiro akanakisa ekumiririra bvunzo data: Smart De-kuzivikanwa uye synthetization
Smart De-Identification
Chii chinonzi Smart De-identification
De-identification inzira inoshandiswa kuchengetedza ruzivo rwakadzama nekubvisa kana kugadzirisa ruzivo rwunozivikanwa nemunhu (PII) kubva mudhatabhesi kana dhatabhesi.
Ndeipi nguva yekushandisa Smart De-identification se data rekuyedza?
De-identification inowanzo shandiswa kana data rekugadzira riripo sepokutangira. De-identification inoshandiswa kubvisa kana kugadzirisa (kuvanzika) ruzivo rwakadzama kubva kudataset kana dhatabhesi kuti ienderane nemirairo yekuvanzika kwedata, sezvo kushandiswa kwedata remunhu hakubvumidzwe zvinoenderana nemirairo yekuvanzika (senge GDPR).
Ziva PII otomatiki neAI-powered PII Scanner yedu
Deredza basa remaoko uye shandisa yedu PII scanner kuona makoramu mune yako dhatabhesi ine yakananga Yemunhu Identifiable Ruzivo (PII) nesimba reAI.
Tsiva PII inonzwisisika, PHI, uye zvimwe zviziviso
Tsiva PII, PHI, uye zvimwe zviziviso zvine mumiriri Synthetic Mock Data iyo inotevera bhizinesi logic uye mapatani.
Chengetedza kuvimbika kwereferensi mune yese yehukama data ecosystem
Chengetedza kuvimbika kwereferensi ne kuenderana mepu mune yese data ecosystem yekufananidza data pamabasa ekugadzira data, dhatabhesi, uye masisitimu.
Synthetic Data Chizvarwa
Chii chinonzi data synthetisation?
Synthetisation ine chinangwa chekugadzira data rekugadzira iro rinogadzirwa zvisirizvo uye rinoshanda seimwe nzira kune chaiyo-yenyika data.
Nguva yekugadzira se data rekuyedza?
Synthetisation inowanzo shandiswa kana data rekugadzira riine mashoma, kushomeka, kupotsa data kana kusipo zvachose sekutanga. Itsva data inogadzirwa nemaoko uye inoshanda seimwe nzira kune chaiyo-yenyika data.
Tsiva PII inonzwisisika, PHI, uye zvimwe zviziviso
Gadzira data rekugadzira zvichibva pane zvakafanotsanangurwa mitemo uye zvipingaidzo
Kutevedzera nhamba dzematanho ekutanga mudata rekugadzira nesimba rehungwaru hwekugadzira
Munhu angashandise sei Smart De-identification uye synthetic data neSyntho?
Gadzirisa nyore!
Kubva pakuchenjera de-identification kusvika pakugadzira, iyo Syntho Injini inotsigira ese akanakisa-ekuita mhinduro kuti uwane yako bvunzo data. Gadzirisa ese akanakisa maitiro ekuyedza data mhinduro zvisingaite mukati mepuratifomu yedu ine mushandisi-ane hushamwari sarudzo dzakagadzirirwa zvaunoda. Kubva pakuchenjera de-identification kusvika pakugadzira, ingo dhonza tafura yakanangwa muchikamu chaunoda munzvimbo yebasa. Kubatanidza mhinduro kunotsigirwa zvakare.
Sevha yako synthetic data gwara izvozvi!
- Chii chinonzi synthetic data?
- Sei masangano achiishandisa?
- Kukosha kuwedzera synthetic data client makesi
- Kutanga
