- I-AI iphindaphinda kokubili amandla okuzivikela kanye nezingozi, inikeze ukuphepha komjikelezo ongokwesiko okunganele.
- I-Zero Trust ithuthukela kumodeli egxile kudatha kanye nokulawulwa kwama-ejenti e-AI "nge-ejensi encane".
- Inhlanganisela ye-AI, i-Zero Trust, nezinsizakalo eziphethwe yenza kube lula ukubonakala, ukuzenzela, kanye nokusabela kwesikhathi sangempela.
- Impumelelo incike kakhulu kubuchwepheshe njengasoguqukweni lwamasiko okwenza ukuthi ukungathenjwa kwedijithali kujwayelekile ngokuklama.
Ukwanda kobuhlakani bokwenziwa obukhiqizayo kube yinto eshintsha kakhulu ukuphepha kwe-cyber: ubuchwepheshe obufanayo obuqhuba ukusungula izinto ezintsha kwebhizinisi buvumela nokuhlasela okusheshayo, okuthembekile, nokuzenzakalelayo . Amaqembu ezokuphepha manje aphoqelekile ukuvikela ingqalasizinda ehlanganisiwe, ngabasebenzisi abakude, izinsizakalo zamafu, kanye nezinhlelo zezimboni ezixhunyiwe, kuyilapho imithetho iqina futhi isabelomali singahlali sihambisana.
Kulesi simo, kusobala ngokwengeziwe ukuthi imodeli endala "yomphetho ophephile" ifile futhi ifilosofi ye-Zero Trust isibe yindinganiso entsha . Inselele manje ukuyivumelanisa nomhlaba lapho kudingeka khona ukulawula hhayi abantu namadivayisi kuphela, kodwa namamodeli e-AI, ama-ejenti azimele, kanye nokugeleza kwedatha okunyakaza ngesivinini somshini phakathi kwamapulatifomu, izinhlelo zokusebenza, namafu.
Kungani i-AI ibekela inselelo imodeli yokuphepha evamile
Ubuhlakani bokwenziwa sebuphenduke inkemba esika nhlangothi zombili: buqinisa ukuzivikela, kodwa futhi buthuthukisa inqwaba yezigebengu ze-inthanethi . Namuhla, kulula ukukhiqiza imikhankaso yobugebengu bokweba imininingwane eyimfihlo, ama-deepfake ezwi noma amavidiyo, i-malware ehlukahlukene , noma ukukhwabanisa okuzenzakalelayo okusekelwa yi-AI ekhiqizayo.
Ngesikhathi esifanayo, izinhlangano zilawula ingqalasizinda ehlukahlukene kakhulu : izindawo ezinamafu amaningi (i-AWS, i-Azure, i-Google Cloud, i-Oracle), i-SaaS, izikhungo zazo zedatha, amanethiwekhi e-OT ezimboni, kanye nezinkulungwane zezisebenzi ezikude . Konke lokhu ngedatha ebalulekile esakazeke yonke indawo, izintambo zokuhlinzeka ngedijithali eziyinkimbinkimbi, kanye nengcindezi yokulawula ekhulayo (i-NIS2, i-DORA, imithethonqubo yemboni).
Ochwepheshe bezokuphepha kwe-inthanethi bayavuma ukuthi inkinga akuyona ukuhlaselwa okuvinjiwe, kodwa lokho okungatholakali . Izitha ziyazifihla ngaphakathi kwethrafikhi evumelekile, zisebenzisa iziqinisekiso ezibiwe , zisebenzisa kabi ama-API, futhi zithembele ku-AI ukuze zihambe eceleni ngokufihla okukhulu, zivame ukusebenzisa izindawo zokufinyelela "ezingathenjiwe" ezingalawulwa kahle.
Njengoba sibhekene nalesi simo, izakhiwo ezigxile kumjikelezo wesikhathi esidlule — ama-VPN endabuko , amanethiwekhi ayisicaba, ukuthembela okungabonakali kulokho "okungaphakathi" —
Kusukela ekuvikelekeni kwepherimitha kuya kuZero Trust indlela
Sekuyiminyaka eminingi, ukuphepha kwe-IT kusekelwe esifanekisweni senqaba ebiyelwe ngodonga: ngaphakathi, konke kuthembekile; ngaphandle, konke kuyasolisa . Izicishamlilo ezizungezile, ama-VPN okungena, kanye nokufinyelela okungenamkhawulo kunethiwekhi yangaphakathi. Lo modeli uyawa lapho abasebenzi besebenza bevela noma kuphi, izinhlelo zokusebenza zigcinwa efwini, futhi idatha ihamba phakathi kwabathengisi, abalingani, namadivayisi e-IoT.
Ukuze kulungiswe lolu shintsho, ngo-2010 uForrester wasakaza imodeli ye-Zero Trust, eqhutshwa nguJohn Kindervag ngokomqondo, enombono olula nongaguquki: “ungalokothi uthembele, qinisekisa njalo .” Akunandaba ukuthi ukuxhumana kuvela “ngaphakathi” noma “ngaphandle,” konke ukufinyelela kumele kuqinisekiswe, kugunyazwe, futhi kuqashwe njalo.
Izimiso eziyisisekelo ze-Zero Trust zingafingqwa ngezinsika ezintathu: ukuqinisekiswa okuqinile nokuzimele kwemvelaphi, ukufinyelela okunelungelo elincane, kanye nokucabanga okuhlala njalo kokuvumelana . Ngamanye amazwi, kucatshangwa ukuthi inethiwekhi ingase ibe sengozini nokuthi noma yimuphi umsebenzisi—ngisho nowangaphakathi—angaba usongo, kungaba ngephutha noma ngonya.
Ngokuhamba kwesikhathi, le ndlela ishintshe kusukela emqondweni wethiyori kuya koweziqondiso eziqondile. Ukushicilelwa kwe-NIST SP 800-207 kanye nemodeli yokuvuthwa kwe-CISA kwaphawula indawo yokuguquka , okuhlinzeka ngezakhiwo zokubhekisela zamanethiwekhi, izinhlelo zokusebenza, kanye nedatha. Ngesikhathi esifanayo, eYurophu, izincomo ze-NIS2 kanye ne-ENISA ziqhuba imikhakha ebalulekile ukuthi ifake ubuqiniso obuqinile, ukuhlukaniswa, kanye nokulawulwa kokufinyelela okuqhubekayo.
I-Zero Trust Enkathini Ye-AI: Lapho Ama-ejenti Azimele Ephula Isikhunta
Igagasi lokuqala le-Zero Trust laklanywa kucatshangelwa abantu namadivayisi angaguquki : abasebenzisi abangabantu, amaqembu ezinkampani, izinhlelo zokusebenza zebhizinisi zendabuko. Kodwa i-AI ishintshe kakhulu leli qiniso.
Amamodeli e-AI—ikakhulukazi amamodeli ezilimi ezinkulu (ama-LLM) kanye nama-ejenti azimele— asebenza ngokuguquguqukayo, eqa imingcele yesistimu, futhi alawule idatha ebucayi ngemizuzwana embalwa . Angafunda ama-imeyili, aqalise imisebenzi yokusebenza, ashintshe amafayela, asebenzisane nama-API, noma enze izinqumo ngaphandle kokugadwa ngumuntu njalo.
I-OWASP, ku-Top 10 Risks yayo ye-GenAI kanye ne-LLM, ixwayisa ngalokho okubizwa ngokuthi “i-ejensi eyeqile”: lapho i-AI inikezwa ukuzimela okukhulu noma amandla okwenza okuthile . Ama-ejenti athumela ama-imeyili egameni labaphathi, ama-bot ahambisa imali phakathi kwama-akhawunti, abasizi abenza izinguquko ezinhlelweni zokukhiqiza… Umsebenzi ngamunye uvula ama-vector amasha okuhlasela uma ungalawulwa kahle.
Izindlela ze-Zero Trust ezigxile kubantu ziyasilela: azikwazi ukusingatha izinkulungwane zezinqumo ngomzuzu ezenziwe ngama-algorithms . Ukusebenzisa ngesandla izimiso zamalungelo aphansi kuzo zonke izenzo ze-ejenti ngayinye akunakwenzeka. Yilapho kuvela khona ukuvela okubalulekile: ukushintsha ukugxila kusuka ekuziboneni kuya kudatha.
I-Zero Trust igxile kudatha: idatha njengendiza entsha yokulawula
Esimweni esilawulwa yi-AI, okubaluleke ngempela akusekho nje ukuthi ubani ofinyelela idatha, kodwa ukuthi iyiphi idatha abayifinyelelayo, ukuthi bayiguqula kanjani, nokuthi bayabelana nobani ngayo . Umngcele wenethiwekhi ulahlekelwa incazelo yawo, futhi umngcele omusha uba idatha uqobo.
Abahlaziyi abanjengoForrester, abanezinhlaka ezifana ne-AEGIS zokuphathwa kwe-AI, bagcizelela ukuthi ukuphepha kumele kugxile ekubonweni kwedatha, umongo, kanye nokuziphendulela . Lokhu kuhilela ukuvumela ukusungula izinto ezintsha nge-AI, kodwa ngaphansi kokulawulwa okusekelwe ekuhlukanisweni kolwazi, uhlu lwedatha, kanye nemithetho ehlolwayo yokusetshenziswa kwayo. Ukuze kuvikelwe ulwazi olubucayi, kuyalulekwa ukusebenzisa imikhuba kanye nokulawula okunciphisa ingozi yokuvuza kwedatha kanye nokwebiwa kwayo.
Amapulatifomu akhethekile ahlanganisa amakhono e-DSPM (Data Security Posture Management) kanye ne-AI-SPM (AI Security Posture Management) ukuthola ukuthi idatha ebucayi ihlala kuphi efwini, e-SaaS, nasezindaweni ezixubile , ukuthi isetshenziswa kanjani, nokuthi yiziphi izinhlelo ze-AI ezifinyelela kuyo. Ukusuka lapho, izinqubomgomo zokubusa zisetshenziswa ukuthola ukuziphatha okuyingozi (izicelo ezinonya, ukukhishwa, umsebenzi ongavamile) kanye nokuzenzakalelayo kokuvimba noma izexwayiso.
Lolu shintsho luguqula i-Zero Trust ibe ukwakheka okuphilayo, okuqhutshwa idatha okukwazi ukukhuliswa ngama-ejenti azimele kanye namamodeli okuzifundela. Esikhundleni sokuthemba ngokungazi ukuthi i-AI yenze "into efanele," kumiswa izindlela zokuvikela eziguquguqukayo ezikhawulela lokho engakubona futhi ikwenze ngokusekelwe ekuzweleni kanye nomongo.
I-AI njengomfelandawonye: i-SOC yesizukulwane esilandelayo kanye “ne-ejensi encane”
I-AI ayidali nje izinkinga; futhi iyisici esibalulekile sokusekela i-Zero Trust ngezinga . Ubuningi obukhulu bezimpawu zokuphepha zamanje (amalogi, i-telemetry yenethiwekhi, umsebenzi wefu, imicimbi yobunikazi, njll.) buyamangalisa kunoma yiliphi iqembu labantu ngaphandle kokusekelwa okuzenzakalelayo.
Abathengisi bezokuphepha kwe-inthanethi bahlanganisa i-AI ethuthukisiwe kumapulatifomu abo okuvikela, ukuthola, kanye nokuphendula . Lokhu kusuka ezinjinini ezihlaziya amakhulu ezigidigidi zezehlakalo ukuze zithole okungavamile, kuya kuma-ejenti ahlakaniphile ku-SOC akwazi ukuphenya izehlakalo, ukuhlanganisa izexwayiso, kanye nokwenza izenzo ngaphandle kokungenelela ngesandla.
Izinkampani ezihamba phambili zizama umqondo wama-Agency SOC: izikhungo zokusebenza zokuphepha eziqhutshwa ama-ejenti e-AI asebenza ngokubambisana nabahlaziyi . Lawa ma-ejenti ayaqonda umongo wengqalasizinda, ancoma izinyathelo zokuvimbela, abhale imibiko, azenzele izincwadi zokudlala ngokuzenzakalela, futhi, kwezinye izimo, akhiphe izimpendulo ngqo ngaphakathi kwemingcele echazwe kahle.
Isihluthulelo sisekusebenziseni isimiso esifana nelungelo elincane kakhulu kune-AI, kodwa esilungisiwe: imodeli "yenhlangano encane" enconywe yi-OWASP . Lokhu akugcini nje ngokukhawulela idatha i-ejenti engafinyelela kuyo, kodwa futhi nezenzo ezithile engayenza. Ayikho i-bot okufanele inikwe amandla "okwenza konke" ekukhiqizeni ngaphandle uma kudingeka ngempela.
Izibonelo zomhlaba wangempela: I-Zero Trust ne-AI kwezamabhange, amandla, imboni, nokudla
Le mbono ilungile, kodwa lapho i-Zero Trust ifakazela khona ukubaluleka kwayo kusezindaweni ezibalulekile , lapho iphutha elilodwa lingavala isitshalo, lidilize insizakalo yezezimali, noma lishiye izigidi zabasebenzisi zingenawo ugesi.
Emkhakheni wamabhange, ukukhathazeka kugxile ekukhwabaniseni, ukwebiwa kobunikazi, kanye nokwephulwa kwedatha . Izikhungo zezimali zisebenza ukwakha izikhungo zokuphepha (ama-SOC) ezingakhula kakhulu ezihlanganisa i-telemetry enkulu, ukuhlaziya okusekelwe ku-AI, kanye nokwenza izinto ngokuzenzakalela. Umgomo uwukubikezela amaphethini okukhwabanisa, ukuvimba umsebenzi osolisayo ngesikhathi sangempela, kanye nokushintsha kusuka kumodeli yokusabela kuphela kuya kumodeli yokusabela. Ikhono lokubuyisa nokuvikela ama-akhawunti asengozini liyisihluthulelo sokunciphisa umthelela walokhu kuhlaselwa.
Emkhakheni wamandla, abadlali abanjengezinkampani ezinkulu zikagesi babhekene nomngcele omkhulu wokuvezwa: izigidi zamamitha ahlakaniphile, izinkulungwane zeziteshi ze-transformer, kanye namaqembu asensimini afinyelela ezinhlelweni eziphakathi . Ngaphezu kwalokho, kuvame ukuhlukaniswa okuqinile phakathi kwezindawo ze-IT ne-OT, ezivame ukubhekwa njengezingathembeki zombili. Ukuthuthela ku-Zero Trust kulo mongo kusho ukufeza ukubonakala okuhlangene nokuhlukanisa ngaphakathi kwe-Security Operations Center (SOC) ukuthi yini ebangela ukuhlaselwa, isibonelo, ukuvuselelwa kwedivayisi enkulu okuhleliwe.
Embonini yokukhiqiza, lapho ukuqhubeka kokukhiqiza kubaluleke kakhulu, i-Zero Trust iyinto engokoqobo kakhulu: uma i-PLC noma irobhothi liyeka, umthelela uba khona ngokushesha . Abakhiqizi abanemikhiqizo ehlala amashumi eminyaka baphila ndawonye nobuchwepheshe be-OT bakudala, amaphrothokholi angavikelekile, kanye nokuxhumana kwamafu okwandayo. Enye yezinselelo ezibalulekile ukuhlanganisa ukubonakala nokulawula lokhu kuhlanganiswa kwezixazululo ze-IT ne-OT, ukufeza iphaneli eyodwa yengilazi ekhombisa konke kusukela kunethiwekhi yomshini kuya efwini lekhasimende.
Ezinkampanini zokudla ezinezitshalo ezenzakalelayo, ukukhathazeka ukuthi ukufinyelela okukude okungagunyaziwe emishinini yezimboni kungathinta ngqo ukukhiqizwa . Isimiso sicacile: akekho umhlinzeki okufanele afinyelele i-PLC noma irobhothi ngaphandle kweseshini elawulwa ngokuqinile, eqashwe, nengabuyiselwa emuva ngesikhathi sangempela, ngokurekhoda umsebenzi kanye nokuphelelwa yisikhathi kwemvume.
Amaketanga okunikezela ngedijithali, i-LLM nobungozi bokuphulwa kwedatha
Ngale kwengqalasizinda yangaphakathi, izinhlangano eziningi zithola ukuthi ubuthakathaka bazo obukhulu busekuthengisweni kwedijithali . Zisebenza nsuku zonke namabhange, abalingani bezobuchwepheshe, abahlanganisi, izinkampani ze-fintech, abahlinzeki bamafu, nabanye abaningi, bonke baxhumene ngandlela thile nezinhlelo zenkampani.
Isixhumanisi ngasinye sethula indawo yokungena engaba khona: umuntu wesithathu onemikhuba emibi yokuphepha angaba yisivikelo sokuhlasela okukhulu . Lokhu kudinga ukuhlolwa okuphelele kokufinyelela kwe-B2B, ukukhawulela izimvume, ukuhlukanisa izindawo, kanye nokuqapha ukuhlanganiswa okusekelwe ku-API.
Okungeziwe kulokhu ukukhathazeka okukhulayo ngokusetshenziswa kwama-LLM angaphandle: ingozi yokuthi ulwazi lwangaphakathi lungagcina "luphakela" amamodeli kahulumeni-angasese ngaphandle kokulawula noma ukulandelelwa . Imibhalo yamasu, idatha yamakhasimende, noma ikhodi yobunikazi ingavuza ngengozi uma isetshenziswa njengomongo kumathuluzi e-AI ngaphandle kokuvikelwa okufanele.
I-Zero Trust esetshenziswa ku-AI lapha isho ukusungula izilawuli ze-DLP (Data Loss Prevention) eziqinile , ezilawula ukuthi yini engathunyelwa kumamodeli anjani, ezidinga ukuhlala kwedatha, futhi, lapho kungenzeka khona, ukukhetha ukuthunyelwa kwangasese noma "izingadi ezibiyelwe ngodonga" lapho inhlangano inokulawula kwangempela lokho okuqeqeshwe nalokho okungaqeqeshwanga.
Ukusebenzisa i-Zero Trust nge-AI: izinyathelo ezingokoqobo nezinselele
Ukusebenzisa isu le-Zero Trust akuyona nje indaba yokufaka amathuluzi ambalwa; kuwuhambo olunesu, lobuchwepheshe, nolwamasiko . Noma kunjalo, ezinye izinyathelo ezisebenzayo zingachazwa ukuze uqale kahle.
Isinyathelo sokuqala ukubonakala: ukuqoqwa kwezimpahla, idatha, ubunikazi, kanye nokugeleza . Kubalulekile ukwazi ukuthi yiziphi izinhlelo ezikhona, ukuthi yiluphi ulwazi olubalulekile eziluphathayo, ukuthi ubani (noma yimuphi umenzeli we-AI) ozifinyelelayo, nokuthi uvelaphi. Amathuluzi okuthola idatha kanye nokuhlukanisa asiza ekuboneni "amatshe ayigugu" emafwini omphakathi, e-SaaS, nasezindaweni ezingaphandle kwesakhiwo.
Okulandelayo kuza ukuhlolwa kwengozi kanye nencazelo yenqubomgomo: ukuhlukanisa izinqubo zebhizinisi ngokwemiphumela, ukuchaza ukuthi ubani ongafinyelela ini futhi ngaphansi kwaziphi izimo . Lokhu kufaka phakathi izinqubomgomo zokufinyelela ezihlanganisiwe, ukuhlukaniswa kwenethiwekhi, ukuchaza "izindawo ze-OT/IT," ukuvikelwa kwe-API, kanye nemithetho ecacile yokusetshenziswa kwezinsizakalo ze-AI.
Ukuqaliswa kuvame ukwenziwa ngezigaba: kuqala ngobunikazi (i-MFA engamelani nobugebengu bokweba imininingwane, i-Single Sign-On, ukuphathwa kwamalungelo esimanje), kulandelwe yi-ZTNA/SASE yokufinyelela, bese kamuva, ukuhlukaniswa kwemininingwane kanye nokuvikelwa kwedatha ejulile . Isigaba ngasinye sihambisana nokuqapha okuqhubekayo ukulungisa izinqubomgomo nokuvimbela izinyathelo ezivimbela kakhulu ekusebenzeni kwebhizinisi okulimazayo.
Kuwo wonke lohambo, kuvela izithiyo ezijwayelekile: ukumelana noshintsho, ubunzima bobuchwepheshe, uhlelo oludala okunzima ukuluvumelanisa, kanye namathuluzi ahlukene . Ukuqeqeshwa, ukuphathwa koshintsho, kanye nokuhlanganiswa kwamapulatifomu ahlanganisiwe (i-SSE, i-SASE, ama-observability suites) kuyizinto ezibalulekile zokugwema ukuba yizisulu zempumelelo.
I-AI, ukuqinisekiswa okuhlakaniphile, namasevisi aphethwe
I-AI iphinde ishintshe ubuqiniso. Esikhundleni sokuthembela kuphela kumaphasiwedi noma ezintweni ezingashintshi, izinhlelo zesimanje zisebenzisa ubuqiniso obuguquguqukayo, obusekelwe engcupheni . Zihlaziya indawo, idivayisi, amaphethini okusetshenziswa, isivinini sokuthayipha, ngisho nokuziphatha kwegundane ukuze kunqunywe ukuthi isicelo sivumelekile noma siyasolisa.
Lolu hlobo lokuqinisekiswa okunamandla e-AI lufaneleka kahle i-Zero Trust: umzamo ngamunye wokungena ngemvume uhlolwa ngokuguquguqukayo, okungenzeka kudinge ezinye izici, kukhawulelwe izimvume, noma kuvinjwe ukufinyelela ngokuphelele lapho ingozi iphezulu. Konke lokhu kwenzeka cishe ngokusobala kumsebenzisi osemthethweni, ohlangabezana nokungezwani okuncane lapho eziphatha njengokujwayelekile.
Enye indawo lapho i-AI ikhanya khona isempendulweni ezenzakalelayo: uma idivayisi iqala ukukhipha idatha, i-ejenti enonya ihamba eceleni, noma umsebenzisi elanda ulwazi olungavamile , izinjini zokuthola zingahlukanisa indawo yokugcina, zihoxise amathokheni, zivale amaseshini, futhi ziqalise uphenyo cishe ngokushesha.
Ezinhlanganweni eziningi, ikakhulukazi ezisezingeni eliphakathi nendawo, ukwakha leli zinga lobuchwepheshe ngaphakathi kuyinkimbinkimbi. Yilapho izinsizakalo zokuphepha kwe-inthanethi eziphethwe zingena khona, zinikeza i-SOC engu-24/7, ukuqapha okuthuthukisiwe, ukuphathwa kokufinyelela okunamandla e-AI, kanye nokwenza ngokuzenzakalela kokuphepha ngaphandle kokuphoqa inkampani ukuthi yakhe yonke into kusukela ekuqaleni.
Ushintsho lwamasiko: "isizukulwane seZero Trust" kanye nokuhlukaniswa kwedijithali
Ngale kobuchwepheshe, i-Zero Trust idinga ushintsho lwamasiko endleleni ukwethembana okuqondwa ngayo ezindaweni zedijithali . Akukhona "ukungathembi abantu," kodwa mayelana nokwamukela ukuthi zonke izinhlelo zingahluleka nokuthi indlela engcono kakhulu yokuvikela abasebenzisi namabhizinisi iwukungalokothi ucabange ukuthi kukhona okubi okuzokwenzeka.
Ngokuthakazelisayo, izizukulwane ezisencane ezikhule zisebenzisa izinkundla zokuxhumana, imidlalo yevidiyo eku-inthanethi, kanye nezinsizakalo zedijithali kusukela ebuntwaneni zijwayelene kakhulu nezimo lapho kufanele kutholakale khona ukwethenjwa futhi imithetho iqinile . Leli qembu seliqala ukubizwa, ngendlela exakile, ngokuthi “iZero Trust Generation.”
Ngakolunye uhlangothi lokwehlukana kwedijithali, abanye babasebenzi abaphezulu kakhulu bangase babone izinyathelo zokuphepha njengezithiyo ezingadingekile noma njengophawu lokungathembani komuntu siqu . Isihluthulelo lapha ukuchaza ngokucacile injongo yokulawula ngakunye, ukukhombisa amacala ezigameko zangempela, nokuqinisekisa ukuthi umgomo ukuvikela inhlangano kanye nabasebenzi bayo.
Ukuqinisekiswa kwezinto eziningi, ukuhlukaniswa kokufinyelela, noma ukuqinisekiswa okuqhubekayo akusabhekwa "njengezicasulo" uma kuqondakala ukuthi ukuchofoza okukodwa ku-imeyili enonya kungasebenzisa ukuhlaselwa okuyinkimbinkimbi kakhulu okusekelwa yi-AI , okunemiphumela emibi kwezomnotho, kwezomthetho, kanye nedumela.
Uma sibheka esikhathini esifushane nesiphakathi, konke kusikisela ukuthi i-Zero Trust kanye ne-Artificial Intelligence zizoqhubeka nokuhlangana, zibe izinhlangothi ezimbili zemali efanayo : i-AI njengenjini yokubuka, ukuhlaziya, nokuphendula okwenzekayo ngesikhathi sangempela; kanye ne-Zero Trust njengohlaka lokunciphisa, ukuqinisekisa, nokulawula lokho abantu, imishini, namamodeli abangakwenza. Izinhlangano ezikwazi ukulinganisela ukuzimela nokulawula, zivikele idatha ngaphandle kokuvimbela ukusungula izinto ezintsha, yizo ezizoba sezindaweni ezingcono kakhulu endaweni yedijithali lapho ukwethembana kungasanikezwa ngokukhululeka, kodwa kunalokho kuklanywe.

