Smart De-Identification
Chengetedza ruzivo rwakadzama nekubvisa kana kugadzirisa ruzivo rwunozivikanwa nemunhu (PII)
Nhanganyaya De-Identification
Chii chinonzi De-Identification?
De-identification inzira inoshandiswa kuchengetedza ruzivo rwakadzama nekubvisa kana kugadzirisa ruzivo rwunozivikanwa nemunhu (PII) kubva mudhatabhesi kana dhatabhesi.
Sei masangano achishandisa De-Identification?
Masangano mazhinji anobata ruzivo rwakadzama uye nekudaro, anoda kuchengetedzwa. Chinangwa ndechekusimudzira kuvanzika, kudzikisira njodzi yekuzivikanwa kwakananga kana zvisina kunanga kwevanhu. De-identification inowanzo shandiswa mumamiriro ezvinhu anoda kushandiswa kwedata, sekuyedza nekusimudzira zvinangwa, nekutarisa kuchengetedza kuvanzika uye kutevedzera mitemo yekudzivirira data.
Chii chinoita kuti mhinduro yaSyntho ive yakangwara?
Syntho inoshandisa simba reAI kukubvumidza kuti usazive akangwara! Munzira yedu yekusaziva, isu tinoshandisa smart mhinduro pazvinhu zvitatu zvakakosha. Chekutanga, kushanda zvakanaka kunoiswa pamberi kuburikidza nekushandiswa kwePII Scanner yedu, kuchengetedza nguva uye kuderedza kushanda kwemaoko. Chechipiri, tinoona kuti kutendeseka kunochengetedzwa nekushandisa mepu inowirirana. Chekupedzisira, kuchinjika kunowanikwa kuburikidza nekushandisa kwedu Mockers.
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.
Ndeapi akajairika makesi ekushandisa e-de-identification?
De-identification inosanganisira kugadziridzwa kana kubviswa kweruzivo rwunozivikanwa nemunhu (PII) kubva kumadatasets aripo uye/kana dhatabhesi. Inonyanya kushanda pamakesi ekushandisa anosanganisira akawanda ehukama matafura, dhatabhesi uye/kana masisitimu uye inowanzo shandiswa mumakesi ekushandisa data.
Yedza data yenzvimbo dzisiri dzekugadzira
Nunura uye sunungura-ye-iyo-software mhinduro nekukurumidza uye nemhando yepamusoro ine mumiriri data data.
Demo data
Shamisa tarisiro yako neanotevera-level chigadzirwa demos, akarongedzerwa neanomiririra data.
Ndingashandisa sei Syntho's Smart De-Identification mhinduro?
Gadzirisa de-identification zvisingaite mukati mepuratifomu yedu ine mushandisi-ane hushamwari sarudzo dzakagadzirirwa zvaunoda. Kunyangwe iwe uri kutarisa pamatafura akazara kana makoramu chaiwo mukati mawo, chikuva chedu chinopa hunyanzvi hwekugadzirisa.
Patafura-level de-identification, ingo dhonza matafura kubva kune yako yehukama dhatabhesi muchikamu che-de-identify munzvimbo yebasa.
Database-level de-identification
Kune database-level de-identification, ingo dhonza matafura kubva kune yako yehukama dhatabhesi muchikamu che-de-identify munzvimbo yebasa.
Column-level de-identification
Kuti uise de-identification pane imwe granular level kana column level, vhura tafura, sarudza iyo chaiyo column yaunoda kusaziva, uye usingashande shandisa museki. Gadzirisa maitiro ako ekudzivirira data neyedu intuitive yekumisikidza maficha.
Sevha yako synthetic data gwara izvozvi!
- Chii chinonzi synthetic data?
- Sei masangano achiishandisa?
- Kukosha kuwedzera synthetic data client makesi
- Kutanga
