- Ubuhlakani bokwenziwa, i-Zero Trust, kanye nezakhiwo zokuphepha ezithuthukisiwe seziqala ukusungulwa njengezinsika zokuzivikela zanamuhla.
- Ukuhlaselwa kwe-supply chain, i-ransomware, kanye nezinsongo eziqhutshwa yi-AI kuphakamisa ukubaluleka kokuqina kwe-cyber.
- Ukuphepha okugxile kudatha kanye nokuphathwa kwamafu amaningi kubalulekile ezweni elihlanganisiwe nelilawulwayo.
- Izinselele zethalente, isabelomali, kanye namasiko zidinga ukuhlanganisa ukuzenzekela, izinsizakalo eziphethwe, kanye nokuqeqeshwa okuqhubekayo.
Ukuphepha kwe-inthanethi sekuyinto ebalulekile kunoma iyiphi inhlangano, enkulu noma encane. Ubuningi bamadivayisi axhunyiwe, ukusetshenziswa kabanzi kwe-cloud computing, ukusebenza kude, kanye nokwanda kobuhlakani bokwenziwa (AI) kuye kwandisa kakhulu indawo yokuhlasela kanye nobuchwepheshe bezigebengu ze-inthanethi. Namuhla, ukuba nje "ne-antivirus enhle" akusanele: isu eliphelele, eliqhubekayo elihambisana nebhizinisi libalulekile.
Uma sibheka phambili, isimo sosongo ngeke sinciphe ; empeleni okuphambene nalokho. Sizobona ukuhlaselwa okuqhutshwa yi-AI, i-ransomware enenzuzo eyandayo, ukuxhashazwa okukhulu kobuthakathaka ochungechungeni lokuhlinzekwa kwesofthiwe, kanye nemikhankaso yobunjiniyela bezenhlalo esekelwa yi-deepfakes engokoqobo kakhulu. Kulesi simo, ukuqonda izitayela zokuphepha kwe-cyber kubalulekile ekubikezeleni izinsongo, ukubeka phambili ukutshalwa kwezimali, kanye nokwakha ukuqina kwe-cyber yangempela.
I-AI: umlingani kanye nesitha ekuphepheni okusha kwedijithali
Ubuhlakani bokwenziwa buguqula ukuphepha kwe-cyber ngezindlela ezimbili : ngakolunye uhlangothi, buthuthukisa amakhono okuzivikela; ngakolunye uhlangothi, bukhulisa amandla okuhlasela abahlaseli. Eminyakeni ezayo, izinhlelo zokuphepha ezisekelwe ku-AI zizoba yisisekelo sokucubungula idatha enkulu, ukuthola okungahambi kahle ngesikhathi sangempela, kanye nokwenza izimpendulo zezehlakalo ngokuzenzakalela ezazidinga amahora amaningi okuhlaziywa kwabantu ngaphambilini.
Ukwenza impendulo ibe ngokuzenzakalela kungenye inqubekela phambili ebalulekile : lapho ithola usongo, ipulatifomu ngokwayo ingahlukanisa idivayisi, ivimbe ikheli le-IP, ihoxise iziqinisekiso, noma isebenze incwadi yokuphendula ku-SOC ngaphandle kokulinda ukungenelela ngesandla. Lokhu kunciphisa kakhulu isikhathi sokusabela kanye nomthelela wezigameko, okubaluleke kakhulu lapho kubhekene nokuhlaselwa kwe-ransomware noma imikhankaso emikhulu ezenzakalelayo.
Kodwa-ke, i-AI nayo isekela abahlaseli . Izigebengu ze-inthanethi sezivele zisebenzisa amamodeli okufunda komshini ukudala i-malware ekwazi ukushintsha ngesikhathi sangempela, ithole ukuthi isendaweni ye-sandbox, futhi igweme izindlela zokuzivikela zendabuko. Amamodeli akhiqizayo asetshenziswa futhi ukukhiqiza ama-imeyili e-phishing akholisayo kakhulu, ukwenza imiyalezo ibe ngeyakho ngokusekelwe esisulu, kanye nokukhulisa imikhankaso yobunjiniyela bezenhlalo ngomzamo omncane.
Uma sibheka phambili, sizobona ukwanda kokuhlaselwa kwe-cyber okuqhutshwa yi-AI , kusukela ku-ransomware enamakhono okunyakaza ahlakaniphile aseceleni kuya kuma-bots ahlola iziqinisekiso ezebiwe futhi alungise amaqhinga awo ngokushesha. Iphuzu elibalulekile lisobala: ukuze avikele i-AI enonya, izinhlangano kuzodingeka zithembele ekuvikeleni okusizwa yi-AI ngokulinganayo, zihlanganise ukuzenzekela namaqembu okuzingela izinsongo akwazi ukuhumusha nokucwenga lawa mamodeli.
Izakhiwo ze-Zero Trust kanye namaphethini amasha okuphepha
Imodeli yendabuko yokuphepha esekelwe kumjikelezo isiphelelwe yisikhathi ezweni lamanethiwekhi ahlanganisiwe, umsebenzi osebenza kude, kanye nezinsizakalo ze-SaaS. Ifilosofi ye-Zero Trust (“ungalokothi uthembele, qinisekisa njalo”) izimisa njengesilinganiso, ihambisana nezindlela ezifana ne-Security by Design kanye ne-Cyber Security Mesh Architecture.
Ukwakhiwa kwe-Zero Trust kusekelwe esimisweni esilula : akukho msebenzisi, idivayisi, noma isevisi okufanele ibhekwe njengethembekile ngoba nje ingaphakathi kwenethiwekhi yenkampani. Isicelo ngasinye sokufinyelela kumele siqinisekiswe njalo, kusetshenziswa izimiso zamalungelo aphansi, ukuqinisekiswa okuqinile, kanye nokuqapha okuqhubekayo kweseshini .
Empeleni, i-Zero Trust ihumusha ibe yizinqubomgomo zokufinyelela eziyinkimbinkimbi kakhulu , ukuhlukaniswa kwenethiwekhi okuncane ukuze kukhawulelwe ukunyakaza okuseceleni, ukuqinisekiswa komongo (indawo, idivayisi, isikhathi, iphrofayili yengozi), kanye nokusetshenziswa okujulile kokuqinisekiswa kwezinto eziningi (i-MFA). Lokhu kubaluleke kakhulu ezindaweni zokusebenza ezihlanganisiwe, lapho abasebenzisi befinyelela khona uhlelo besekhaya, kumanethiwekhi omphakathi, noma kumadivayisi omuntu siqu.
Kanye ne-Zero Trust, amanye amaphethini okwakha aya ngokuya ethandwa, njenge -Security by Design , ehlanganisa ukuphepha okuvela esigabeni sokuklama uhlelo lokusebenza kanye nesevisi, noma i-Cyber Security Mesh Architecture, ephakamisa ungqimba lokuphepha olusatshalaliswe kodwa oluhlelwe phakathi, olufanele izindawo ezinamafu amaningi kanye nezindawo zemvelo ezixhumene kakhulu.
Ubuchwepheshe bokuthola nokuphendula inethiwekhi (i-NDR) buhambisana nale ndlela ngokunikeza ukubonakala okuthuthukisiwe kwethrafikhi yenethiwekhi , ukuthola ukuziphatha okungavamile, kanye nokwenza lula ukuhlaziywa kwe-forensic ezindaweni eziyinkimbinkimbi. Umphumela uba ukwakheka kokuphepha okuqinile, okukwazi ukunciphisa indawo yokuhlasela, ukugodla ukwephulwa, kanye nokusheshisa impendulo.
Ukuhlaselwa kwe-supply chain kanye nokuphepha okusekelwe efwini
Ensimini yokuthuthukiswa kwesofthiwe, ukuthembela ezindaweni zokugcina izimpahla zomphakathi , imitapo yolwazi evulekile, amamodeli e-AI angaphandle, kanye namapulatifomu amafu kuye kwanda ubuthakathaka. Izigebengu ze-inthanethi zifuna ukufaka ikhodi enonya kumapayipi e-CI/CD, izithombe zesitsha, noma amaphakheji ezinkampani zangaphandle ukuze zisakazeke buthule.
Ukuze kuxazululwe le ngozi, kuvela imikhuba namathuluzi athile . Ukusetshenziswa kweSoftware Bill of Materials (SBOM) kuvumela ulwazi oluningiliziwe lwezingxenye zohlelo lokusebenza, imvelaphi yazo, kanye nobuthakathaka bazo obaziwayo. Okwamanje, ama-Cloud Native Application Protection Platforms (ama-CNAPP) ahlanganisa ukuvikelwa kwemithwalo yemisebenzi yamafu, ahlanganisa ukuskena kokucushwa, ukuphepha kwesitsha, ukulawulwa kobunikazi, kanye nokuhlaziywa kwengozi yesikhathi sangempela.
Ngaphezu kwalokho, izinkampani kumele ziqinise ukuhlolwa kwezokuphepha kwabantu besithathu , zidinge izigaba zokuthobela imithetho ezinkontilekeni, ziqaphe ukuxhumana nabalingani, futhi zihlukanise kahle izindawo ukuze kuncishiswe umthelela uma kwenzeka ukwephulwa komhlinzeki. Ukuphepha kweketanga lokunikezela akusekho okukhethwa kukho; kuyinto eza kuqala ebhizinisini.
Okwamanje, ukuphepha efwini nasezindaweni ezixubile kuyaqhubeka nokuvelela . Ukwamukelwa kabanzi kwezinsizakalo ze-IaaS, PaaS, kanye ne-SaaS kubonise ukuthi ukungalungiselelwa kahle, ukuphathwa kabi kobunikazi, kanye nokubethela okunganele kuphakathi kwezimbangela zokuhlasela ezivame kakhulu. Imodeli yomthwalo wemfanelo ehlanganyelwe idinga ukuthi izinhlangano zenze indima yazo: izinqubomgomo zokufinyelela ezicacile, ukubethela idatha ngesikhathi sokuthutha kanye nokuphumula, izilawuli zokuma kokuphepha kwefu, kanye nokuhlolwa okuqhubekayo.
Ukuhlangana kwe-5G, Edge, IoT kanye ne-IT/OT: indawo yokuhlasela ekhulayo
Ukwanda kwamanethiwekhi e-5G, ukubalwa kwe-edge, kanye nokuqhuma kwe-IoT kudweba kabusha imephu yokuphepha kwe-cyber. Amadivayisi amaningi axhunyiwe, izindawo zokugcina ezengeziwe, idatha eyengeziwe ejikeleza ngesikhathi sangempela, kanye nezinhlelo ezibaluleke kakhulu ezivezwa kunethiwekhi.
Amanethiwekhi e-5G, ngesivinini sawo esiphezulu kanye nokubambezeleka okuphansi, avumela izimo ezintsha zokusetshenziswa embonini, kwezempilo, kwezokuthutha, kanye nasezimpahleni zabathengi, kodwa futhi andisa ukukhanga kwabahlaseli abafuna ukubamba idatha, ukuxhaphaza ubuthakathaka bengqalasizinda, noma ukucekela phansi izinsizakalo ezibalulekile. Ukuvikela i-5G kudinga ukubethela okuqinile, ukuqinisekiswa okuqinile kwedivayisi, ukuhlukaniswa kwenethiwekhi, kanye nokuqapha okuphelele kwengqalasizinda.
Indawo yonke ye-IoT ingenye indawo ebucayi . Amadivayisi amaningi aklanywe ngokuphepha okuncane noma okungenakho ngokuzenzakalelayo: iziqinisekiso ezibuthakathaka, i-firmware esiphelelwe yisikhathi, ukuntuleka kokubethela, noma izindlela zokuqinisekisa ezinganele. Lawa ma-endpoint angaba amasango enethiwekhi yenkampani noma izingxenye zama-botnet amakhulu asetshenziselwa ukuqalisa ukuhlaselwa kwe-DDoS.
Ukuze kuncishiswe ubungozi, izinhlangano kumele zisebenzise izilawuli eziqinile kumadivayisi e-IoT : ukuqinisekiswa okuqinile (amaphasiwedi ahlukile, izitifiketi, i-MFA lapho kungenzeka khona), izibuyekezo ezivamile kanye nama-patches, ukuhlukaniswa kwamanethiwekhi athile ala madivayisi, kanye nokuqapha ukuziphatha kwawo. Ukuvikela i-IoT kubalulekile ekuqinisekiseni ukuthi ukulula nokusebenza kahle akuvinjelwa ukwephulwa kwezokuphepha.
Emikhakheni yezimboni, ukuhlangana kobuchwepheshe bolwazi (IT) kanye nobuchwepheshe bokusebenza (OT) kudala isiphepho esiphelele. Izinhlelo zokulawula izimboni, imigqa yokukhiqiza, izinzwa, kanye nemishini exhunyiwe kuhlanganiswa namapulatifomu e-IT okuhlaziya okuthuthukisiwe kanye nokwenza izinto ngokuzenzakalela, kodwa ngokwenza kanjalo, baveza izindawo ezazihlukanisiwe ngaphambilini ezinsongweni ezihambisana nomhlaba wezinkampani.
Ukuvikela lezi zindawo zezimboni kudinga izixazululo ezithile ze-OT ezikwazi ukuqonda izinqubo zezimboni, ukuqapha ithrafikhi phakathi kwamadivayisi, nokuthola amaphethini angajwayelekile. Ngaphezu kwalokho, ukuhlukaniswa kwe-IT ne-OT, imijikelezo yokuhlanganisa ehleliwe, kanye nokuqapha okuqhubekayo kubalulekile ukuvimbela ukumiswa kokukhiqiza noma ukubhujiswa okunomthelela omkhulu. Ukuhlola izindlela ezisetshenziswa emikhakheni ethile yezimboni kusiza ekuqondeni izindlela eziqondile.
I-Ransomware, i-RaaS kanye nobugebengu be-inthanethi obuxhaswe nguhulumeni
I-Ransomware isalokhu ingenye yezinkinga ezinkulu ezinhlanganweni. Ihlasela hhayi nje kuphela idatha efihliwe, kodwa ivame ukuhlanganisa ukwebiwa kolwazi kanye nokusongela (ukuphanga okuphindwe kabili noma kathathu), okusongela ukuvuza ulwazi oluyimfihlo esidlangalaleni uma isihlengo singakhokhwa.
Imodeli ye-Ransomware njengesevisi (i-RaaS) isuse lolu hlobo lokuhlasela ngentando yeningi . Amaqembu obugebengu athuthukisa i-malware kanye nengqalasizinda edingekayo, futhi ayinikeza izinkampani ezingaphansi kwamakhono obuchwepheshe ukuze bathole isabelo sesihlengo. Lokhu kunciphisa isithiyo sokungena futhi kwandisa kakhulu inani lemikhankaso esebenzayo emhlabeni jikelele, okuthinta izinkampani zabo bonke ubukhulu kanye nemikhakha.
Izindleko ezimaphakathi zokululama ekuhlaselweni kwe-ransomware ziyizigidi eziningana zamaRandi , okuhlanganisa izinkokhelo, ukulahleka kokukhiqiza, izinhlawulo zomthetho ezingaba khona, kanye nomonakalo wedumela. Ukuze kuncishiswe umthelela, ama-backups athembekile, ahlolwe, futhi ahlukanisiwe (angaxhunyiwe ku-inthanethi noma ezindaweni ezingaguquki) abalulekile, njengoba kunjalo namanethiwekhi ahlukene avimbela ukunyakaza komhlaseli ohlangothini.
Ngesikhathi esifanayo, ukuhlaselwa kwe-inthanethi okuxhaswe nguhulumeni kuyaqhubeka nokuhlasela ingqalasizinda ebalulekile, izinhlangano zikahulumeni, kanye nabahlinzeki abakhulu bezobuchwepheshe. Lokhu kuhlaselwa kuvame ukuba yinkimbinkimbi kakhulu, ngezinhloso ze-geopolitical, ubunhloli bezimboni, noma ukuphazamisa ukuzinza. Umngcele phakathi kobugebengu be-inthanethi bezomnotho kanye nokusebenza kwe-inthanethi okuxhaswe nguhulumeni uya ngokuya ufiphala.
Ukuze zivikele ezinsongweni ezinkulu kangaka, izinhlangano kumele zihlanganise ubuhlakani bezinsongo eziqondisiwe , ukubambisana nezinhlangano zikahulumeni kanye nezinhlangano zezimboni, kanye namakhono obuchwepheshe athuthukile okuthola, ukuphendula, kanye nokululama. Ukuxhumana emazingeni kazwelonke nakwamanye amazwe kubalulekile ekuvimbeleni ukuhlaselwa okungathinta yonke imvelo.
Ukuqina kwe-cyber, ama-SecOps athuthukile, kanye nokuphathwa kokuchayeka okuqhubekayo
Ukuphepha kwe-inthanethi akusakwazi ukukhawulelwa ekuvimbeleni ukuhlaselwa ; kumele kuthathwe ngokuthi, ngokushesha noma kamuva, okuthile kuzohluleka. Yingakho ukubaluleka okukhulayo komqondo wokuqina kwe-inthanethi: ikhono lenhlangano lokubekezelela, ukuphendula, nokululama ezigamekweni ngenkathi igcina ukuqhubeka kwebhizinisi.
Kulesi simo, imisebenzi yokuphepha (i-SecOps) idlula ekuguqukeni okukhulu . Izikhungo Zokusebenza Zokuphepha (ama-SOC) zibhekene nenani elikhulayo lezexwayiso, izinsongo ezenzakalelayo, kanye nezindawo eziyinkimbinkimbi kakhulu ezixubile. Isu lihilela ukuguqukela kumamodeli agxile ku-SIEM, asekelwa yi-AI, anemisebenzi yokuphendula ehleliwe kanye nezinga eliphezulu lokuzenzakalela.
Indlela ye-Continuous Threat Exposure Management (CTEM) ithola ukuthandwa njengendlela ehlukile yokuphathwa kobuthakathaka bendabuko. Esikhundleni sokuskena nje nokulungisa ubuthakathaka ngezikhathi ezithile, i-CTEM iphakamisa umjikelezo oqhubekayo wokuhlonza, ukuhlola, ukubeka phambili, nokuqinisekisa ukuvezwa, okuhambisana njalo nomthelela wako wangempela ebhizinisini.
Lokhu kuhilela ukuhlanganisa imithombo yobuthakathaka bobuchwepheshe, ukucushwa okungavikelekile, izingozi zobunikazi, kanye nezindawo zokuhlasela zangaphandle (njengezizinda, izinhlelo zokusebenza eziveziwe, noma izinsizakalo zamafu zomphakathi) embonweni ohlangene. Ukuhlanganisa ukuzenzekela, ukuhlaziya okuthuthukisiwe, kanye nezindinganiso zebhizinisi kukuvumela ukuthi ugxile kulokho okubaluleke ngempela, unciphise umthwalo womsebenzi futhi uthuthukise ukuma kwakho kokuphepha okuphelele.
Ngakho-ke ama-SOC esikhathi esizayo azoba ngokuzenzakalelayo kakhulu futhi asizwa yi-AI , akwazi ukuhlanganisa imicimbi ngesikhathi sangempela, aqalise izimpendulo ezizenzakalelayo ezigamekweni eziyinkimbinkimbi kancane, futhi ashiye abahlaziyi babantu ukuthi baphenye futhi balawule izinsongo eziyinkimbinkimbi kakhulu. Ukuhlelwa kokuphepha (i-SOAR) kudlala indima ebalulekile lapha ngokuxhumanisa amathuluzi nezinqubo.
Ukuphepha kanye nokuphathwa okugxile kudatha ezindaweni ezihlanganisiwe
Ulwazi selube yimpahla eyigugu kakhulu kunoma iyiphi inhlangano , kodwa futhi lungenye yezindawo ezisengozini kakhulu. Ukwanda kwedatha emafwini amaningi, amathuluzi e-SaaS, amadivayisi eselula, kanye nezindawo ze-AI kukhiqize inani elikhulu "ledatha emnyama" engabonakali kangako.
Ukuphepha okugxile kudatha kuhlose ukuvikela ulwazi kusukela ekudalweni kwalo kuze kube sekususweni kwalo, kungakhathaliseki ukuthi lugcinwa noma lucutshungulwa kuphi. Lokhu kuhilela ukuhlonza idatha ebucayi, ukuyihlukanisa ngendlela efanele, ukusebenzisa ukubethela, ukulawula ukufinyelela okuhlanganisiwe, kanye nokuqapha ukusetshenziswa kwalo ukuthola ukuziphatha okungavamile.
Ubuchwepheshe obufana nokuphathwa kwesimo sokuphepha kwedatha (DSPM), ukuvimbela ukulahleka kwedatha (DLP), kanye ne-Cloud Access Security Broker (CASB) sebuqala ukuba yinto ebalulekile. I-DSPM inikeza ukubonakala kokuthi idatha ebucayi ihlala kuphi nokuthi yiziphi izingozi ezithinta yona; i-DLP ivimbela ukuvuza ngengozi noma okunonya; kanye ne-CASB ilawula ukusetshenziswa kwezinhlelo zokusebenza zamafu, iphoqelela izinqubomgomo zokuphepha ezihambisanayo kanye nokuhambisana.
Ezindaweni ezihlanganisiwe nezinamafu amaningi, ukuphathwa kwamafu kungenye inselele enkulu . Abahlinzeki abahlukene baletha amathuluzi ahlukene, amamodeli emvume, kanye nezilinganiso, okwenza kube nzima ukuba nombono ohlangene ngesimo sokuphepha. Ukuhlanganisa amalogi, izinqubomgomo zokufinyelela, imithetho yokubethela, kanye nezindlela zokuqinisekisa kubalulekile ukuze kugwenywe izindawo ezingabonakali.
Ngaphezu kwalokho, lonke lolu hlaka kumele luhambisane nemithethonqubo yobumfihlo kanye nokuvikelwa kwedatha eqinile (GDPR, HIPAA, PCI DSS, njll.). Ukungalandeli imithetho kungaholela ezinhlawulweni zezigidi zamaRandi kanye nomonakalo omkhulu wedumela. Ngakho-ke, ukuphepha kwedatha akuseyona nje indaba yobuchwepheshe: sekuyindaba yokuthobela imithetho, ukwethenjwa, kanye nedumela lenkampani.
Umsebenzi okude, i-IoT yasekhaya, kanye nezinsongo zangaphakathi
Umsebenzi osebenza kude kanye nowe-hybrid usushintshe waba yinto evelele waba yinto engokoqobo . Lokhu kwandisa kakhulu indawo yokuhlasela: abasebenzi baxhuma kumanethiwekhi asekhaya, amadivayisi abo, i-Wi-Fi yomphakathi, kanye namathuluzi amaningi okubambisana ku-inthanethi.
Izigebengu ze-inthanethi zisebenzisa lo mongo ngemikhankaso yobugebengu bokweba imininingwane ebucayi , ukuhlaselwa kwama-VPN angahlelwanga kahle, ukuxhashazwa kwama-endpoint angakalungiswa, kanye nokwebiwa kweziqinisekiso. Iqiniso nje lokuthi isisebenzi sisebenzisa idivayisi efanayo emisebenzini yomuntu siqu neyobungcweti lethula ingozi eyengeziwe.
Ukuze kuncishiswe le ngozi, izinhlangano kumele ziqinise izinyathelo zokuphepha ezihlobene nokufinyelela kude: ukubethela kokuxhumana, ukuqinisekiswa kwezinto eziningi kuzo zonke izindawo zokufinyelela ezibalulekile, ukuphathwa kwamadivayisi ahlanganisiwe, kanye nezinqubomgomo ezicacile zokusebenzisa ezamukelekayo. Ukuqeqeshwa okuqhubekayo kokuqwashisa, okuhlanganisa ukulingisa i-phishing kanye nokuqinisa imikhuba emihle, kusabalulekile.
Ngesikhathi esifanayo, izinsongo zangaphakathi—kungakhathaliseki ukuthi zenziwe ngenhloso noma ngengozi—ziyandiswa yizindawo zomsebenzi ezisatshalaliswe. Abasebenzi abanganelisekile bangavuza ulwazi, futhi abasebenzisi abanezinhloso ezinhle bangadalula idatha ngokusebenzisa kabi amathuluzi efu noma ukungalungiselelwa kahle lapho babelana ngamadokhumenti.
Izinhlangano ziphendula ngezixazululo ezihlanganisa ukuhlaziywa kokuziphatha kwabasebenzisi nokuvimbela ukulahleka kwedatha (i-DLP), kanye nezinqubomgomo zamalungelo amancane kanye nokubuyekezwa kokufinyelela okuvamile. Umgomo akukhona nje ukuqapha ngenxa yokuqapha, kodwa ukuthola ukuziphatha okungavamile okubonisa ukwephulwa kwedatha okungenzeka, ukusetshenziswa kabi kwamalungelo, noma ukuyekethisa kwe-akhawunti.
Ama-Deepfakes asuke ekubeni yilukuluku lobuchwepheshe aba yingozi yangempela ezinkampanini, ezikhungweni, kanye nasezakhamuzini. Amamodeli e-AI akwazi ukukhiqiza umsindo namavidiyo angokoqobo kakhulu avumela ukuzenza ongeyena abaphathi, iziphathimandla, noma abantu abathembekile abanezinga eliphezulu kakhulu lokungenzeka.
Cabanga ngokuthola ikholi yevidiyo evela ku-CFO yakho ecela ukudluliselwa okuphuthumayo, noma i-voicemail evela kumhlinzeki oyinhloko ecela iziqinisekiso zokungena. Lezi zimo sezivele zenzekile, futhi imvamisa yazo kulindeleke ukuthi ikhule eminyakeni ezayo njengoba ubuchwepheshe buthuthuka futhi buba yintengo engabizi kakhulu.
Ukuze kuncishiswe le ngozi, kuvela uhlelo lonke lwezinhlelo zokuthola ulwazi olujulile olusekelwe ku-AI , oluhlaziya imininingwane emincane yokuqukethwe—amaphethini akhanyayo, izinto zobuciko zesithombe, ukungahambisani kokukhanya—ukuze kutholakale ukuxhashazwa. Kodwa-ke, ubuchwepheshe bokuzivikela buhlala busemuva ngesinyathelo esisodwa, ngakho-ke ukuqeqeshwa nezinqubo zihlala zibalulekile.
Izinhlangano kumele zisungule izinqubo zokuqinisekisa ezicacile zezicelo ezibucayi: ukudluliselwa akufanele kuvunyelwe ngokusekelwe kuphela kumyalezo wezwi noma ividiyo, kodwa kufanele kudinge iziteshi zokuqinisekisa zesibili. Ngaphezu kwalokho, ukukhulisa ulwazi phakathi kwabasebenzi, abaphathi, kanye nabalingani mayelana nokuba khona kanye nezingozi zama-deepfake kubalulekile ekugcineni ukwethembana kwezokuxhumana.
Ubunjiniyela bezenhlalo buzoqhubeka nokukhula ngokusebenzisa la makhono , ukuhlanganisa idatha eyebiwe, amaphrofayili ezinkundla zokuxhumana, i-AI ekhiqizayo, kanye nama-deepfakes ukuze kuqhutshwe imikhankaso yokukhwabanisa kanye nokwaziswa okungelona iqiniso. Inhlanganisela yobuchwepheshe kuphela, izinqubo eziqinile, kanye nesiko lokuphepha eliqinile elizosivumela ukuthi sinciphise umthelela walo.
Izinselele zokwamukela izitayela ezintsha zokuphepha kwe-inthanethi
Nakuba isiqondiso sicacile, ukusebenzisa zonke lezi zindlela akulula . Izinkampani zibhekene nemikhawulo yesabelomali, ukuntuleka kwamakhono, ubunzima bezobuchwepheshe, kanye nokumelana namasiko okuvimbela ukwamukelwa kwezinyathelo ezintsha zokuphepha.
Ukuntuleka kwesabelomali kungenye yezinkinga ezivame kakhulu , ikakhulukazi kuma-SME nezinhlangano zomphakathi. Ukusebenzisa amathuluzi athuthukile, ukuqasha abasebenzi abakhethekile, kanye nokugcina imisebenzi amahora angama-24 ngosuku, izinsuku eziyisikhombisa ngesonto kudinga ukutshalwa kwezimali, futhi kusekhona abaphathi ababheka ukuphepha kwe-inthanethi njengezindleko kunokuba kube yinto evumela ibhizinisi kanye nesivikelo somkhiqizo.
Lokhu kukhuliswa ukushoda okukhulu kochwepheshe abafanelekayo ezindaweni ezifana nokuhlaziywa kwe-malware, ukuzingela izinsongo, i-DevSecOps, kanye nokwakhiwa kwe-Zero Trust. Ngisho nezinkampani ezinkulu ziyazabalaza ukugcwalisa izikhundla ezibalulekile. Eziningi ziphendukela kumamodeli e-Managed Security Service Providers (MSSPs) noma i-Cybersecurity as a Service (CaaS) ukuze zibhekane nalokhu kushoda futhi zithole ukuguquguquka.
Ubunzima bezindawo ezinamafu amaningi kanye nezinhlelo zesikhathi esidlule bunezela olunye ungqimba lobunzima . Ifu ngalinye linezici zalo, futhi izinhlangano eziningi zisathembele kuzinhlelo zokusebenza ezindala ezingaklanywanga ngokuphepha kwamanje engqondweni. Ukuhlanganisa izixazululo zesimanje nezinhlelo zesikhathi esidlule kudinga ukuhlela, isikhathi, kanye nokufuduka okubanzi ngezinye izikhathi.
Okubaluleke ngokulinganayo ukumelana kwangaphakathi noshintsho . Izilawuli ezintsha ezifana ne-MFA, imikhawulo yamalungelo, noma ukuhlukaniswa kwenethiwekhi kungabhekwa njengezithiyo emsebenzini wansuku zonke. Ngaphandle kokusekelwa okucacile okuvela kubaphathi kanye nokuxhumana okusebenzayo mayelana nesizathu salezi zinyathelo, abanye abasebenzi bangase bazame ukugwema noma ukukhubaza izilawuli, okudala ubuthakathaka obukhulu.
Okokugcina, izinhlangano kumele zilinganisele ukuphepha nobumfihlo . Ukusetshenziswa kokuhlaziya okuthuthukisiwe kanye nokuqapha ngesikhathi sangempela kumele kuhloniphe imithethonqubo yokuvikelwa kwedatha kanye namalungelo abasebenzi. Ukuklama izinqubomgomo ezisobala, ukusebenzisa ukungaziwa lapho kungenzeka khona, kanye nokugcina ukuxhumana okuvulekile nabantu abathintekile kubalulekile ekuvimbeleni izingxabano kanye nokulondoloza ukwethembana.
Uma zihlanganiswa, lezi zindlela zidweba isithombe esiyinselele kodwa esigcwele amathuba kulabo abangalindela izinselelo, batshale imali ngokuhlakanipha, futhi bakhe isiko lokuphepha elivuthiwe. Izinhlangano ezihlanganisa ukuphepha kwe-inthanethi nesu lazo lebhizinisi, zamukele izakhiwo zesimanje, zivikele idatha yazo, zenze imisebenzi yazo yokuphepha ibe ngokuzenzakalela, futhi zilawule njalo ukuvezwa kwazo engozini zizokulungela kangcono ukubhekana nesimo sedijithali esiguquguqukayo, esisebenzisa ngokuzenzakalelayo, nesisabalaliswayo.
