Ukwenqaba Izinsongo Ze-Cyber: I-Linkedin Learning Training
Ukuqeqeshwa kuvulwa ngokubukezwa kwezinsongo zamanje ze-cyber. U-Menninger unikeza imininingwane ngobungozi obudalwa yi-malware ne-ransomware. Lolu lwazi lubalulekile ekuqondeni ububanzi bezinselele zokuphepha.
Ibe isifundisa izindlela zokuzivikela kulezi zinsongo. Lawa masu abalulekile kukho kokubili ukuphepha komuntu siqu nokomsebenzi.
Ubugebengu bokweba imininingwane ebucayi, inhlupho yenkathi yethu yedijithali, nakho kuyaxoxwa ngakho. U-Menninger unikeza amaqhinga okumelana ngempumelelo nobugebengu bokweba imininingwane ebucayi. Lawa macebiso abalulekile ezweni lapho ukuxhumana kwedijithali kukhona yonke indawo.
Iphinde ifake ebucayini be-imeyili yebhizinisi. Iqondisa ababambiqhaza ekuvikeleni ukuxhumana kwebhizinisi. Lesi sivikelo sibalulekile ekulondolozeni ubuqotho bedatha.
Ukuhlaselwa kwe-Botnets ne-DDoS kuhlolwa kuwo wonke ama-engeli. U-Menninger wabelana ngamasu okuqapha lokhu kuhlasela. Lolu lwazi lubalulekile ukuvikela amanethiwekhi.
Iphinde ibhekane nama-deepfakes, usongo olusafufusa. Ibonisa indlela yokuthola nokuvikela kuma-deepfakes. Leli khono liya libaluleke kakhulu.
Izingozi zangaphakathi, ngokuvamile ezibukelwa phansi, nazo ziyahlolwa. Ukuqeqeshwa kugcizelela ukubaluleka kokuphepha kwangaphakathi. Lokhu kuqapha kubalulekile ekuvikelekeni kwezinhlangano.
U-Menninger ubheka ubungozi bamadivayisi we-IoT angaphethwe. Inikeza amathiphu okuvikela lawa madivayisi. Lesi sinyathelo sokuqapha sibalulekile eminyakeni ye-IoT.
Kafushane, lokhu kuqeqeshwa kuwusizo olukhulu kunoma ubani ofisa ukuqonda nokulwa nezinsongo ze-inthanethi.
Ama-Deepfakes: Ukuqonda kanye nokubala le Nsongo Yedijithali
Ama-Deepfakes amelela usongo lwedijithali olukhulayo.
Basebenzisa i-AI ukuze benze amavidiyo akhohlisayo nama-audios. Zibukeka zingokoqobo kodwa zenziwe ngokuphelele. Lobu buchwepheshe bubeka izinselelo zesimilo nezokuphepha.
Ama-Deepfakes angathonya umbono womphakathi nezepolitiki. Basebenzisa imibono futhi bahlanekezele iqiniso. Leli thonya liwukukhathazeka okukhulu ngentando yeningi.
Amabhizinisi nawo asengozini ye-deepfakes. Bangonakalisa isithunzi futhi badukise. Imikhiqizo kufanele iqaphe futhi ilungiswe.
Ukuthola ama-deepfakes kuyinkimbinkimbi kodwa kubalulekile. Amathuluzi asekelwe ku-AI asiza ukuwakhomba. Lokhu kutholwa kuyinkambu ekhula ngokushesha.
Umuntu ngamunye kumele agxeke abezindaba. Ukuhlola imithombo nokubuza ubuqiniso kubalulekile. Lokhu kuqapha kusiza ukuvikela ulwazi olunganembile.
Ama-Deepfakes ayinselelo yezikhathi zethu. Ukuqonda kanye nokulwa nalokhu kusongela kudinga amakhono angeziwe kanye nokuqapha. Ukuqeqeshwa kwezokuvikela kuyisinyathelo esibalulekile sokuzivikela.
I-Shadow Computing: Inselele Ethule Yamabhizinisi
I-Shadow IT iyakhula emabhizinisini. Lesi sihloko sihlola lesi sigameko esinobuhlakani kodwa esiyingozi.
I-Shadow computing ibhekisela ekusetshenzisweni okungagunyaziwe kobuchwepheshe. Izisebenzi zivame ukusebenzisa isofthiwe engagunyaziwe noma amasevisi. Lo mkhuba ungaphezu kwamandla eminyango ye-IT.
Lesi simo sidala izingozi ezinkulu zokuphepha. Idatha ebucayi ingadalulwa noma ibe sengozini. Ukuvikela le datha bese kuba yikhanda ezinkampanini.
Izizathu ze-shadow IT zihlukahlukene. Izisebenzi ngezinye izikhathi zibheka izixazululo ezisheshayo noma ezisebenziseka kalula. Badlula izinhlelo ezisemthethweni ukuze bathole ukusebenza kahle.
Amabhizinisi adinga ukubhekana nalolu daba ngendlela ebucayi. Ukwenqabela ngokuqinile le mikhuba kungase kungasebenzi. Indlela elinganiselayo iyadingeka.
Ukuqwashisa kuyisihluthulelo sokunciphisa i-IT yesithunzi. Ukuqeqeshwa ngobungozi nezinqubomgomo ze-IT kubalulekile. Basiza ukudala isiko lokuphepha kwe-IT.
Izixazululo zobuchwepheshe nazo zingasiza. Ukuqapha kwe-IT namathuluzi okuphatha asiza ukuthola isithunzi se-IT. Banikeza umbono jikelele wokusetshenziswa kobuchwepheshe.
I-Shadow IT inselele ecashile kodwa engathi sína. Amabhizinisi kufanele akubone lokhu futhi akuphathe kahle. Ukuqwashisa namathuluzi afanelekile kubalulekile ekuvikeleni imvelo ye-IT.
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