1. Sumo
1.1. Boka reDeriv rinozvipira kudzivirira ruzivo rwenyu rwemunhu uye kuremekedza upfumi hwenyu. Mitemo iyi yeKuchengetedza Ruzivo inotsanangura mashandisirwo edu, kuchengetwa, kuzivisa, uye kudzivirira ruzivo rwemunhu pamativi ese eDeriv uye zvinoenderana nezvigadzirwa, masevhisi, mapuratifomu, uye mawebhusaiti edu. Patinotaura kuti “tiri”, “tisu”, kana “yedu” muMitemo iyi yeKuchengetedza Ruzivo, tinoreva divi rakatarwa muboka reDeriv rinotarisirwa nekushandisa ruzivo rwenyu rwemunhu, kazhinji kacho ndiro divi reboka reDeriv ramune ukama hwebhizinesi, kana rinokupai masevhisi (sezvinotsanangurwa muchikamu che“Vatariri veData neRuzivo rwekubata navo” pazasi).
1.2. Gwaro iri reChengetedzo yeRuzivo rwemunhu rinoshanda kumakasitoma aripo nevanogona kuva makasitoma, vashanyi vewebhusaiti, vamwe vanoshanda nesu mubhizinesi, vapi vemasevhisi (nevashandi vavo), vanopinda mumitambo, vashanyi vemahofisi edu, uye chero munhu anoshandisana nezvigadzirwa zvedu, masevhisi, maApp emafoni, mapuratifomu, kana nzira dzedu dzedhijitari, pasinei nenyika yavanogara. Gwaro iri reChengetedzo yeRuzivo rwemunhu harishande kune vanotsvaga basa kana vashandi veboka reDeriv.
1.3. Tinoshandisa ruzivo rwenyu rwemunhu tiri mutongi (controller), maererano nemitemo inoshanda, inogona kusanganisira European Union General Data Protection Regulation (GDPR), United Kingdom General Data Protection Regulation (UK GDPR), nemimwe mitemo yechengetedzo yeruzivo inoshanda (“Mitemo yeChengetedzo yeRuzivo”).
2. Mhando dzeruzivo rwemunhu
2.1. Zvichienderana neukama hwenyu nesu, tinogona kuunganidza nekushandisa humwe kana akawanda emhando dzinotevera dzeruzivo rwemunhu, dzakaita se:
2.1.1. Ruzivo rwekuzivikanwa: Zita rekutanga, zita rekwaberekwa, vukadzi/varume, unyika, zuva rekuberekwa, uye/kana magwaro ekuzivikanwa anobva kuhurumende (kusanganisira mapasipoti, rezinesi yekutyaira, maID enyika, uye/kana mapermit ekugara).
2.1.2. Ruzivo rwekutaurirana: Kero yemasheya, kero yeemail, uye/kana nhamba yerunhare.
2.1.3. Ruzivo rwebasa: Zita rebasa, zita remubhadhari webasa, basa, mativi anotariswa, uye/kana mubhadharo.
2.1.4. Ruzivo rwepaunogara, kusanganisira zvibvumirano zvekuroja/kugara, magwaro emhiri (title deeds), uye mabhiri emagetsi/mvura.
2.1.5. Ruzivo rwekutaurirana: Zvinyorwa zvekutaurirana (maemail, live chat, kutaurirana neAI-assisted chat, mataipiro nemarecordings efoni, mhinduro, uye/kana mhinduro dzeongororo yemusika).
2.1.6. Ruzivo rwemasevhisi: Ruzivo rweakaundi kana rwekukumbira, nhoroondo yekutengeserana kana transaction, zvibvumirano, zvamunoda, uye/kana zvinyorwa zvekushandisa.
2.1.7. Ruzivo rwemupi wesevhisi: Ruzivo rwunochinjwa semupi wesevhisi kana mumwe anoshanda nesu mubhizinesi (ma details echibvumirano uye/kana zvinyorwa zvemisangano).
2.1.8. Ruzivo rwemushanyi: Ma details ekushanya kuhofisi (zvinyorwa zvekupinda, zuva/nguva uye chikonzero chekushanya, uye/kana zvinodiwa zvakasarudzika zvamakataura).
2.1.10. Ruzivo rwekubhadhara: Kero yekubhadharisa, ma details ekubhadhara, akaundi yebhanga, nzira yekubhadhara, uye/kana nhoroondo yekubhadhara.
2.1.11. Ruzivo rwekushandisa: Ma transaction amunoita paakaundi yenyu, mashandisiro amunoita mapuratifomu nezvigadzirwa zvedu zvakasiyana-siyana, kana mashandisirano amunoita newebhusaiti dzedu, maApp, kushambadzira, uye kutaurirana.
2.1.12. Ruzivo rwedhijitari: Semuenzaniso, kero yeIP, ruzivo rwenzvimbo (kusanganisira GPS nekuona nzvimbo), ruzivo rwedivaisi nebrowser, uye/kana ruzivo rwekuchengetedzeka (senzira yamunopinda nayo kana kuzvisimbisa kuti mupinde muakaundi yenyu).
2.1.13. Ruzivo rwekusimbisa: Humbowo hwekero, kwakabva pfuma, uye/kana kwakabva mari.
2.1.14. Ruzivo rwebiometric: Ruzivo runoshandiswa kuzivikanwa kwega-kwega, senge facial recognition kana voiceprints. Mamwe mapikicha, mifananidzo, maaudio, kana marecording evhidhiyo anogona kuverengwa seruzivo rwebiometric kana achishandiswa kuzivikanwa.
2.1.15. Ruzivo rwekupinda mumitambo: Ruzivo rwekunyoresa mumitambo, kupinda, uye/kana kutora chikamu.
2.1.16. Zvimwe: Chero ruzivo rumwe rwamunopa, kana rwatinofanira kuunganidza nemutemo, kana runosanganiswa nezvatinoita mubhizinesi.
3. Ruzivo rwemunhu rwakanyanya kukosha
3.1. Kunze kwekunge takumbira pachena kana zvichidiwa nemutemo, musapa kana kuzivisa chero ruzivo rwemunhu rwakanyanya kukosha kwatiri, kusanganisira kuburikidza newebhusaiti dzedu, maApp, kana dzimwe nzira. Zvichienderana nenyika yenyu, “ruzivo rwemunhu rwakanyanya kukosha” rungasanganisira, asi harisi kungogumira pa, ruzivo runosanganiswa nerudzi rwenyu kana unyika, zvitendero kana pfungwa dzeuzivi, pfungwa dzezvematongerwo enyika, kuva mutezo wesangano revashandi, hutano, ruzivo rwegenetic kana biometric, ukama hwepabonde, nhoroondo yemhosva, kana nyaya dzemutemo nemutongo.
3.2. Kana tichida kuunganidza kana kushandisa ruzivo rwemunhu rwakanyanya kukosha, tichaita izvozvo chete maererano neMitemo yeChengetedzo yeRuzivo inoshanda uye chete patine chikonzero chemutemo chakakodzera, senge mvumo yenyu yakajeka, kuteerera mutemo, kana sezvinodikanwa mukumisikidza, kushandisa, kana kudzivirira zvikumbiro zvemutemo.
4. Kwakabva ruzivo rwemunhu
4.1. Tinogona kuunganidza ruzivo rwenyu rwemunhu mumamiriro anotevera kubva:
4.1.1. Kwamuri pachenyu: Pamunoshandisana nesu, kunyoresa, kutumirana meseji nemapoka edu, kupinda mumitambo, kana kushanya mahofisi edu;
4.1.3. Zvigadzirwa zveAI: Pamunoshandisana nezvigadzirwa zvine AI-assisted zvinopiwa neDeriv, senge Amy, mubatsiri wedu weAI chat, kana mafoni/mhinduro dzeAI-assisted. Izvi zvinosanganisira zvinyorwa zvekushandisana kwenyu (kusanganisira marecording emanzwi), chero ruzivo rwemunhu rwamunopa, uye ruzivo rwehunyanzvi runosanganiswa nazvo (senge session identifiers nenguva/zuva);
4.1.4. Vamwe vanhu: Kusanganisira vamwe vanoshanda nesu mubhizinesi, vapi vemasevhisi, masangano ehurumende, kana ma database ekusimbisa;
4.1.5. Zvakavhurika kune vose: Senge zvinyorwa zvevatongi kana ma database anowanikwa pachena;
4.1.6. Zvinoburitswa neDeriv pachayo: Mukupa masevhisi edu (semuenzaniso, zvinyorwa zvemisangano, marecording efoni, mataipiro efoni) kana nekugadzira zvinonzwisisika kana humwe ruzivo nezvenyu patinoongorora ruzivo rwatinenge tatova narwo; uye/kana
4.1.7. Zvikumbiro zvinoramba zvichiitwa zveruzivo: Sechikamu chekuteerera mitemo kwedu kunoenderera mberi, kuongorora kwakadzama, uye kuti tivimbise kuchengetedzeka nekururama kwemasevhisi edu, tinogona kukuda kuti mupe rumwe ruzivo rwemunhu kana magwaro ekusimbisa chero nguva mukati mehukama hwenyu nesu.
5. Chikonzero chemutemo nezvinangwa
5.1. Tinoshandisa chete ruzivo rwenyu rwemunhu patine mvumo yenyu kana chikonzero chemutemo chekuchishandisa. Zvikonzero izvi zvinogona kusanganisira:
5.1.1. Kushandisa ruzivo rwenyu rwemunhu kuteerera mutemo, kusanganisira zvinodiwa zvelayisensi, zvinodiwa zvekurwisa unyengeri, uye mitemo yekurwisa kucheneswa kwemari;
5.1.2. Kushandisa ruzivo rwenyu rwemunhu kupinda kana kuita chibvumirano chatine nemi;
5.1.3. Kutevera zvinangwa zvedu zvakakodzera mubhizinesi; uye/kana
5.1.4. Kumisikidza, kushandisa, kana kudzivirira kodzero dzedu dzemutemo.
5.2. Tinogona kushandisa ruzivo rwenyu nezvinangwa zvinotevera:
5.2.1. Kutungamirira makasitoma nekutarisira akaundi;
5.2.2. Kupa masevhisi, kuita kutengeserana, nekutarisira ma transaction;
5.2.3. Rutsigiro rwevatengi kuti kutaurirana kuitike zvakanaka uye kubata nyaya dzekunyunyuta kana kusawirirana;
5.2.4. Kutungamirira vamwe vanoshanda nesu mubhizinesi;
5.2.5. Kuongororwa kwavatengi, mitoo yeKnow Your Customer (KYC), nzira dzekudzivirira manyepo, mabasa ekurwisana nekuchenesa mari yakaipa (AML), uye kutarisa sanctions;
5.2.6. Kuchengetedza uye kudzora mapindiro, kuchengetedza webhusaiti, uye kugadzirisa manyepo ari kuitika kana anofungidzirwa, mabasa asiri pamutemo, kana mafambiro asina kunaka;
5.2.7. Zvinangwa zvekushambadzira uye kuongorora data, zvinogona kusanganisira kuita ongororo, kuyera kugutsikana kwavatengi, uye kuunganidza mazano avo;
5.2.8. Kuvandudza zvigadzirwa nemabasa edu, kuita ongororo nekugadzira zvitsva, kuita tsvakurudzo yekushandisa kwevatengi, uye kuunganidza ruzivo rwebhizimisi;
5.2.9. Misangano, webinars, zvidzidzo zvekurongeka, uye hurongwa hwekudzidza;
5.2.10. Mari, treasury, accounting, uye kugadzirisa mibhadharo;
5.2.11. Kutonga vatengesi uye vamwe vanobatsira;
5.2.12. Kutonga njodzi, kudzivirira nekuona mhosva, ongororo yemukati, kutungamirirwa kwakanaka kwebhizimisi, uye mabasa ekugadzirisa;
5.2.14. Kuteerera mitemo, kutonga nyaya dzemumatare kana kudzivirira zvichemo zvemumatare, kuchengeta zvinyorwa, uye kudzivirira zvido zvedu zvakarurama kana kodzero dzedu dzemutemo, kusanganisira kutora uye kupindura mhosva dzemumatare kana kuita zvichemo zveinishuwarenzi;
5.2.15. Kubatana kwemabhizimisi, kutenga, kutengesa, kutamisa midziyo, kugadziriridzazve, kana kupera kwebhizimisi rose kana chikamu chacho, kusanganisira ongororo yakakodzera yacho;
5.2.16. Kugadzirisa zvikumbiro zvenyu kana kukubatsirai kushandisa kodzero dzenyu;
5.2.17. Kugadzira uye kuparadzira zvinyorwa zvekunzwa, zvekuona, kana zvimwe zvinyorwa zvemhepo;
5.2.18. Chimwe chinangwa chipi nechipi chinodiwa kana chinotenderwa nemutemo, mitemo, mitoo yemabasa, kana murairo wedare; uye/kana
5.2.19. Kudzidza kwemishini uye kugadzirisa zvisingaitwi nemunhu, kusanganisira kushandisa data yemunhu kudzidzisa, kugadzira, uye kuvandudza algorithms, mamodheru, kana hurongwa hwungwaru hwakagadzirwa (AI), nechinangwa chekuvandudza mabasa edu, kudzivirira manyepo, kutonga njodzi, uye mafambiro ebhizimisi. Patinoshandisa vapi vemabasa veAI vechetatu kuti vashande neAI yedu, data yenyu yemunhu inogona kugadzirwa nevapi ivavo kuti vadzidzise kana kuvandudza mamodheru avo akajairika.
5.3. Munobvuma kuti tinoshandisa zvigadzirwa zvinoshandiswa neAI, kusanganisira (asi zvisingaperere pa) Amy, mubatsiri wekutaurirana weAI anowanikwa pawebhusaiti yedu nemaapplication edu, uye mafoni anobatsirwa neAI. Pamunoshandisa Amy kana dzimwe nzira dzekutaurirana kana dzekufona dzinobatsirwa neAI, zvinyorwa zvekutaurirana kwenyu (kusanganisira zvinhu zvipi zvazvo zvakanyorwa zvenzwi) nedata ipi neipi yemunhu yamunopa zvinogona kugadzirwa nesu, uye pazvinodikanwa, nevapi vemabasa evemitambo yeAI vechetatu vanoshanda sevagadziri patinenge tichivaita.
5.4. Muchaziviswa zvakajeka kana tichivimba nemvumo yenyu, uye munogona kudzosa mvumo yenyu chero nguva ipi zvayo.
6. Kuzivisa data yemunhu
6.1. Tinogona kugovana data yenyu yemunhu nemapoka anotevera evanogamuchira, pazvinenge zvichidikanwa uye zvakakodzera kuzadzisa zvinangwa zvinotsanangurwa muPrivacy Policy ino, uye zvichienderana nezvinotsigira mutemo:
6.1.1. Dzimwe kambani dziri mukati meboka reDeriv;
6.1.2. Vamiririri, vanotengesa, vanopa mabasa, kusanganisira IT, cloud, vapi vemitambo yeAI, web-hosting, kuongorora data, kuzadzisa order, vapi vezvinyorwa, rubatsiro rwevatengi, maplatform ekutaurirana, uye vanopa mabasa ekutakura zvinhu;
6.1.3. Vanogadzirisa mibhadharo, mabhanga, nemasangano emari kugadzirisa kutengeserana;
6.1.4. Vatongi, matare, vanorwisa mhosva, mitero, kana vamwe vakuru vehurumende sezvinodikanwa nemutemo kana kudzivirira kodzero dzedu;
6.1.5. Vanopa mazano ehunyanzvi, kusanganisira vekuinishuwarenzi, magweta, vanoongorora mari, uye maakaundendi, kuti bhizimisi rirambe richifamba, kutonga njodzi, kana mukufamba kwenyaya dzemutemo kana zvichemo;
6.1.6. Vabatani vebhizimisi;
6.1.7. Vabatani vemisangano kana vekushambadzira, masangano ekushambadzira, vapi vekuongorora data, nemasocial network, sezvinoenderana nekushambadzira, kugadzira zvigadzirwa, kana kupinda mumisangano;
6.1.8. Nemvumo yenyu yakajeka, kune vamwe vechetatu vamunotiudza kuti tigovane data yenyu navo; uye/kana
6.1.9. Vamwe vanhu Deriv yabvumirwa kana inodikanwa nemutemo, mitemo, mitoo yemabasa kana murairo wedare kuzivisa ruzivo kwavari.
6.2. Tinoda kuti vanhu vese vechetatu vanogadzirisa data yenyu yemunhu patinenge tichivaita vape kuchengetedzwa kwakakodzera, vateerere mutemo unoshanda, uye vape kudzivirirwa kunoenzana zvakanyanya nezvakatsanangurwa pano.
7. Kutamiswa kwedata kunyika dzakasiyana
7.1. Boka reDeriv ibhizimisi renyika dzose riine mahofisi, vabatani, nevanopa mabasa vari kugara munyika dzakasiyana-siyana pasi rose, kusanganisira muEuropean Economic Area (EEA), United Kingdom, Asia, Africa, Latin America, uye dzimwe nzvimbo. Nekuda kweizvi, data yenyu yemunhu inogona kugadzirwa mukana kutamiswa kuenda kunyika dziri kunze kwenyika yamunogara—kusanganisira nyika dziri kunze kweEEA kana UK—dzingasava nechiyero chakafanana chekudzivirira data sechiri munyika yenyu.
7.2. Apo data yemunhu iri pasi peGDPR, UK GDPR, kana dzimwe Privacy Laws dzinoshanda inotamiswa kuenda kunyika isina kuonekwa seine chiyero chakakwana chekudzivirira data, tichagadzira nzira dzakakodzera dzekudzivirira maererano nezvinodikanwa nemutemo unoshanda. Nzira idzi dzekudzivirira dzinogona kusanganisira Standard Contractual Clauses dzakabvumirwa neEuropean Commission kana hurumende yeUK, zvisarudzo zvekukwanisa, ongororo dzakadzama dzekutamiswa, uye nzira dzakawedzerwa dzehunyanzvi nedzekutongwa, sezvinodikanwa, kuti data yenyu yemunhu irambe yakadzivirirwa.
8. Kuchengetedzwa kwedata
8.1. Tinochengeta data yenyu yemunhu kwenguva yakakodzera chete kuzadzisa zvinangwa zvayakaunganidzirwa, kusanganisira kuteerera zvinodikanwa nemutemo, zvemitemo inodzora, accounting, kana kushuma; uye maererano nemitoo yedu yemukati yekuchengetedza. Nguva yakatarwa yekuchengetedza painenge yapera, tichadzima zvakachengeteka kana kuita kuti data yenyu isazivikanwe kuti ndeyani, kunze kwekunge nguva yakareba yekuchengetedza ichidikanwa kana kubvumirwa nemutemo, senge yekugadzira, kushandisa, kana kudzivirira zvichemo zvemumatare, kana yekuchengeta zvinyorwa, sainzi, kana nhoroondo.
9. Kodzero dzenyu
9.1. Zvichienderana nenyika yamunogara uye Privacy Laws dzinoshanda kudata yenyu yemunhu, munogona kuva nekodzero dzinotevera:
9.1.1. Ruzivo nekuwana: Munogona kukumbira kuwana data yenyu yemunhu oga, kugamuchira ruzivo rwekuwedzera nezve mashandisirwo atinoita nayo, uye kuwana ruzivo nezve masangano eboka nezvamatekenesheni akagoverwa nawo data yenyu. Munogonawo kukumbira kopi yedata yenyu yemunhu oga.
9.1.2. Kugadziridza: Munogona kukumbira kugadziridza kana kuvandudza data yemunhu oga isina kururama kana isina kukwana.
9.1.3. Kudzimwa: Mungava nekodzero yekukumbira kudzimwa kwedata yenyu yemunhu oga, zvichitevedzera zvinodikanwa nemutemo.
9.1.4. Kudzivirira kushandiswa: Mungava nekodzero yekukumbira kuti tidzivise kushandiswa kwedata yenyu yemunhu oga mumamiriro akati wandei ezvinhu.
9.1.5. Kuramba kushandiswa: Mungava nekodzero yekuramba mhando dzakati dzine dzekushandiswa kwedata, kusanganisira marketing yakananga kwamuri nekuongororwa kwehunhu hwenyu.
9.1.6. Kutamiswa kwedata: Mungava nekodzero yekukumbira kopi yedata yenyu yemunhu oga inotamiswa, iri mumufungo wakarongeka, inowanzoshandiswa, uye inoverengeka nemuchina, zvichitevedzera miganhu yemitemo uye kusvikira izvi zvisingakanganise kodzero dzevamwe kana kuburitsa ruzivo rwakavanzika.
9.1.7. Kusarudza kunoitwa nemuchina: Mungava nekodzero yekusaiswa pasi pesarudzo dzinobva pakushandiswa kwemuchina chete (kusanganisira kuongororwa kwehunhu), kana sarudzo idzodzo dzichikonzera migumisiro inobata mutemo kana inokosha zvakafanana nawo.
9.1.8. Kudzosa mvumo: Patinoshandisa data yenyu tichibva pamvumo yamakapa, mune kodzero yekudzosa mvumo yenyu chero nguva. Kudzosa mvumo hakuzokanganise kururama kwekushandiswa kwedata kwakaitwa mvumo isati yadzoswa.
9.1.9. Chichemo kuchiremera chinotarisira: Mungava nekodzero yekuisa chichemo kuchiremera chinotarisira dzidziro yedata munyika yamunogara, kana data yenyu ichishandiswa, kana kambani yemutariri wedata yenyu yakasungwa, kana pane nhoroondo yedata yakatyoka.
9.2. Ngazvizivikanwe kuti tinogona kukumbira rumwe ruzivo kwamuri kuti tisimbise hunhu hwenyu tisati taita zvamakumbira. Mune dzimwe nguva, kana chikumbiro chisina musimboti, chichidzokororwa, kana chakanyanyisa, tinogona kuchajisa mari yakakodzera kana kuramba kuita zvamakumbira, sezvinobvumidzwa nemutemo unoshanda.
9.3. Munogona kukumbira kuvandudza data yenyu yemunhu oga mumaseti eakaundi yenyu. Ndechenyu mutoro kuona kuti data yenyu yemunhu oga inoramba yakarurama uye yakavandudzwa, sezvo tichishandisa data iyi kupa masevhisi edu. Ngazvizivikanwe kuti kana mukapa ruzivo rusina kururama kana kusavandudza ruzivo rwenyu pazvinoshanduka, izvi zvinogona kukanganisa hunhu kana kuwanikwa kwezvigadzirwa nemasevhisi edu kwamuri.
9.4. Kana muchida kushandisa chero dzimwe dzekodzero idzi kana muine mibvunzo nezve kodzero dzenyu pasi peMutemo uyu weChivanzviko, ndapota tibatei pa[email protected].
9.5. Mutemo uyu weChivanzviko haugadziri, kuwedzera, kana kushandura chero kodzero kana mitoro kunze kwezvinopiwa nemutemo unoshanda (senge Mitemo yeChivanzviko inokodzera).
10. Marketing
10.1. Mune kodzero yekusarudza kusagamuchira zvinyorwa zveMarketing kubva kwatiri. Izvi zvinogona kuitwa nekubvisa mvumo yenyu chero nguva makaita akaundi nesu.
10.2. Munogona kusarudza kusagamuchira hurukuro dzeMarketing mumaseti eakaundi yenyu kana kuzvibvisa pane email dzeMarketing nekudzvanya link inoti “Unsubscribe” iri pane ese ehurukuro dzedu dzeMarketing.
10.2.1. Kana mukasarudza kuzvibvisa kana kusabvuma hurukuro dzedu dzeMarketing, ngazvizivikanwe kuti munogona kuramba muchigamuchira maemail ane chekuita nekutengeserana kana masevhisi. Tichaita zvese zvatinogona kuderedza kuwanda kwemameseji aya uye kuona kuti anokosha pakushanda zvakanaka kwezvigadzirwa nemasevhisi edu.
10.2.2. Ngazvizivikanwe kuti nekuda kwenguva dzinotorwa pakushandiswa kwezvinhu, munogona kuramba muchigamuchira dzimwe hurukuro dzeMarketing kwenguva pfupi, kunyange mushure mekunge makumbira kuzvibvisa kana kusabvuma. Uyezve, kana hurukuro yeMarketing ichinge yatotumirwa kana ichiri kutumirwa, munogona kuramba muchiigamuchira. Kana muchiramba muchigamuchira hurukuro dzeMarketing kubva kwatiri mushure menguva yakakodzera yapfuura, tibatei kuburikidza nelive chat.
11. Chengetedzo yedata yenyu yemunhu oga
11.1. Tinotora nyore chengetedzo yedata yenyu yemunhu oga nekutengeserana kwemari zvakanyanya uye tinoshandisa maitiro anotarisira njodzi pakudzivirira, kusanganisira:
11.1.1. Password yenyu yakapihwa chete akaundi yenyu uye inochengetwa zvakachengeteka ichishandisa cryptographic hashing yakasimba. Isu, kana vashandi vedu, hatikwanise kuwana password yenyu. Ndapota tibatei kana muine dambudziko nepassword yenyu.
11.1.2. Dhata rese rekadhi rechikwereti rinoshandiswa zvakachengeteka uye zvakananga nevatengesi vedu vekubhadhara, tichishandisa SSL/TLS encryption yazvino uye tichitevedzera Payment Card Industry Data Security Standard (PCI DSS) kana mitemo yakafanana.
11.1.3. Kuwana data yenyu yemunhu oga kwakaganhurirwa kuvashandi vane mvumo chete vanonyatsoda kuti vazadzise mitoro yavo. Kuwana kwese kunotongwa maererano nekutonga kwekuwana kunoenderana nebasa uye kunoongororwa uye kuongororwa nguva nenguva.
11.1.4. Tinoshandisa maitiro etekinoroji nemasangano anokodzera mhando yebhizimisi, kusanganisira encryption yedata panguva yekufambiswa neyekuchengetwa, kudzivirira kwenetiweki (senge mafirewall nekuona kupinda kusina mvumo), kuongorora chengetedzo nguva nenguva, uye kuronga kuramba kwebhizimisi, kuti tidzivirire ruzivo rwenyu.
11.1.5. Masisitimu edu anotarisira zviito zvinonzwisa kunyadzisa nekunyengera kunogona kuitika. Tinosimbisa hunhu pazvinenge zvakakodzera uye, mumamiriro ezvinhu ekunyengera kunofungirwa, tinogona kubatana nevatongi vemutemo nemasangano akakodzera.
11.1.6. Ndimi mune mutoro wekuchengetedza ruzivo rwekupinda kwenyu, email yakasungwa nazvo, nemidziyo yenyu. Tinokurudzira zvikuru kusarudza mapassword akasimba, akasiyana, kuagadziridza nguva nenguva, kusambotaura kune vamwe, uye kusashandisa midziyo kana netiweki zvevanhu vese kana zvakagoverwa pakupinda muakaundi yenyu.
11.2. Kunyangwe tichiedza kudzivirira data yenyu, ngazvizivikanwe kuti hapana purogiramu yepamhepo inogona kuvimbiswa kuti yakachengeteka zvizere. Kana zvikaitika kuti pane kutyoka kwedata, tichatevedzera zvinodikanwa zvekuzivisa maererano neMitemo yeChivanzviko inokodzera.
12. Kusarudza kunoitwa nemuchina uye kuongororwa kwehunhu
12.1. Tine kodzero yekushandisa data yatinounganidza nekuongorora kuti tikuzivei maererano nezvigadzirwa zvedu. Tinoita izvi nemaoko tichibatsirwa nekushanda kwemasystem anozviita ega (automated processing). Nenzira iyi, tichakwanisa kukupai zvigadzirwa nemasevhisi akakodzera zvakanyanya.
12.2. Tinogonawo kushandisa masystem anozviita ega kuti atibatsire pakuita sarudzo dzekuongorora njodzi, senge patinoita tsvagurudzo dzebhadhiraudhi nekuchenesa mari. Kunyange tichishandisa tekinoroji kutibatsira pakuziva mativi enjodzi, sarudzo dzose dzinogona kukukanganisai zvakaipa dzinogara dzichisanganisira kupindira kwevanhu kuti tive nechokwadi chekuti kusarudza hakuitwi zvachose nekushandisa automated processing chete.
13.1. Ma Cookies mafaera madiki emavara anoiswa padivaisi yenyu kuti achengetedze data inogona kudzorerwa neweb server. Anoshandiswa zvakanyanya kuti mawebhusaiti ashande, kuvandudza mashandisirwo evashandisi, uye kupa zvinyorwa nezvinoparidzirwa (advertisements) zvinoenderana.
13.2.1. Kuita kuti mashandiro ewebhusaiti nenzvimbo dzakachengeteka zvishande;
13.2.2. Kuyeuka zvamunoda nemagadzirirwo enyu;
13.2.3. Kunzwisisa kuti munoshandisa sei masevhisi edu uye kuavandudza;
13.2.4. Kupa zvinyorwa nezvinoparidzirwa zvakagadzirirwa imi; uye
13.2.5. Kubatsira kuchengetedza akaundi yenyu nekunyora kupinda nekuyedza kupinda (login attempts).
13.4. Ma Cookies anodikanwa zvakanyanya (strictly necessary) achagara akaiswa zvoga. Mamwe ma Cookies (akadai sea functionality, analytics, nea advertising cookies) achangoiswa kana mapa mvumo yenyu maererano nemutemo unoshanda.
13.5. Mune sarudzo dzakawanda maererano nekudzora ma cookies pakombiyuta yenyu. Mabhurawuza mazhinji ewebhu anokubvumirai kudzora kana kudzima ma cookies kuburikidza negadziriro dzebhurawuza renyu. Ngazvizivikanwe kuti kudzima mamwe ma cookies kunogona kukanganisa mashandiro ezvigadzirwa nemasevhisi edu.
13.6. Ma Cookies anochengetwa chete kwenguva inodikanwa kuti azadzise chinangwa chawo. Nguva yekuchengetedza inoenderana nerudzi rwe cookie. Ma Session cookies anodzimwa kana mavhara bhurawuza renyu, achiri ma persistent cookies anogona kuramba aripo kwenguva refu kunze kwekunge mazvidzima nyore.
13.7. Tinoshandisa masevhisi evatatu, akadai se Google Analytics, Meta Pixel, LinkedIn Insight Tag, neSnap Pixel, anogona kuisa ma cookies awo pa divaisi yenyu. Munogona kutitumira email pa[email protected] kuti muwane ruzivo nezve ma cookies aya uye kuti mungagadzirisa sei zvamunoda.
14. Mabatanidzo kune mamwe mawebhusaiti
14.1. Webhusaiti yedu ine mabatanidzo kune mamwe mawebhusaiti uye inogona kuva nezvinoparidzirwa zvebhena kana zvidodzero zvinoenderana nemawebhusaiti evatatu. Mawebhusaiti aya nezvinoparidzirwa zvawo zvinogona kuisa ma cookies mubhurawuza renyu, izvo zvisiri pasi pekudzora kwedu. Hatina mhosva nemaitiro ekuchengetedza zvakavanzika kana zvinyorwa zvemawebhusaiti akadaro. Tinokurudzira kuti muverenge mitemo yekuchengetedza zvakavanzika yemawebhusaiti aya nokuti maitiro awo anogona kusiyana needu.
15. Mutungamiri wedata nemashoko ekubatana
15.1. Nokuda kwezvinangwa zvemitemo inoshanda yekuchengetedza data, mutungamiri wedata anozvimirira pane data yenyu yemunhu oga anoenderana nenyika yamunogara uye masevhisi eDeriv amunoshandisa.
15.2. Kana muri munyika dzeEuropean Economic Area (EEA), mutungamiri wedata yenyu achava Deriv Investments (Europe) Limited, akanyoreswa muMalta (Company No. C 70156), ane kero yakanyoreswa paLevel 3, W Business Centre, Triq Dun Karm, Birkirkara BKR9033, Malta. Deriv Investments (Europe) Limited inotongwa neMalta Financial Services Authority pasi peInvestment Services Act.
15.3. Kana muchida ruzivo rwakawedzera maererano nemutungamiri wedata yenyu, mune mibvunzo kana mazwi maererano neMutemo uyu weKuchengetedza Zvakavanzika kana maitiro edu ekuchengetedza data, kana kuda kuita chichemo maererano nekuteerera kwedu Mitemo yeKuchengetedza Zvakavanzika inoshanda, ndapota batanai neData Protection Officer wedu pa[email protected].
16. Zvigadziriso
16.1. Tinogona kugadzirisa Mutemo uyu weKuchengetedza Zvakavanzika nguva nenguva kuratidza zvigadziriso mumaitiro edu, zvinodiwa nemitemo, kana tekinoroji.
Webhusaiti iyi inogona kushandisa shanduro dzinozviitika pachadzo kuti zvikuitirei nyore. Zvisinei, shanduro yeChirungu ndiyo inokosha uye ndiyo ichashanda kana paine musiyano upi noupi. Deriv (FX) Ltd ine rezinesi uye inotongwa neLabuan Financial Services Authority. Deriv (BVI) Ltd ine rezinesi uye inotongwa neBritish Virgin Islands Financial Services Commission. Deriv Investments (Cayman) Limited, ine hofisi yakanyoreswa paCampbells Corporate Services Limited, Floor 4, Willow House, Cricket Square, Grand Cayman, Cayman Islands, inotongwa neCayman Islands Monetary Authority. Deriv (Mauritius) Ltd inotongwa neFinancial Services Commission, Mauritius. Deriv (V) Ltd ine rezinesi uye inotongwa neVanuatu Financial Services Commission. Deriv.com Limited, kambani yakanyoreswa muGuernsey, ndiyo kambani huru inochengeta madzimwe makambani aya. Deriv Capital International Ltd ine hofisi yakanyoreswa paUnit 25, 2nd Floor, Nia Mall, Saleufi Street, Apia, Samoa. Deriv (SVG) LLC ine hofisi yakanyoreswa paFirst Floor, SVG Teachers Credit Union Uptown Building, Corner of James and Middle Street, Kingstown P.O., St Vincent and the Grenadines. Muve nechokwadi chekuverenga Mitemo neMigwagwa yedu uyewo Chizivisgo cheNjodzi kuti munzwisise zvakakwana njodzi dziri mukati musati mashandisa masevhisi edu. Ngazvizivikanwewo kuti ruzivo rwuri pawebhusaiti iyi haruzi zano rekudyara mari.
Zvigadzirwa zvinopiwa pawebhusaiti yedu ndezvigadzirwa zvakaoma zvinonzi derivatives, zvine njodzi huru yekurasikirwa nemari. MaCFD izvigadzirwa zvakaoma zvine njodzi huru yekukurumidza kurasikirwa nemari nekuda kweLeverage. Munofanira kufunga kuti munonzwisisa here mashandiro azvo, uye kuti munokwanisa here kutakura njodzi huru yekurasikirwa nemari yenyu.
