Kwixesha leyo eyenziwe ngu-AI, imibuzo malunga ne-real ne-how to protect ourselves from the fake has never been more complex. Namhlanje, isicelo ye-telephone enye inokukwazi ukuvelisa i-deepfakes kwizinye imizuzu, inkqubo eyayimfuneko iinkompyutha ezincinane kunye nexesha elide zokusetyenziswa. I-deepfakes ayikho kwakhona kwiimishini ezininzi, kunye neengxaki ziye zithunyelwe kumapolitiki; ngoko ke isibophelela emzimbeni yethu ebusuku. Ukongezelela, i-visual voice cloning, i-face cloning, i-fake videos, kunye ne-identity-based fraud ziye ziye ziye zibonakalisa iingxaki zokhuseleko z 1) The reality crisis from the consumer's perspective: ‘Am I the real me, or am I a digital copy? Ubuchwepheshe ye-deepfake unemiphumo enkulu kumadoda nge-identity theft, kwaye kubaluleke kakhulu. Akukho kuphela iividiyo ze-fake kwi-social media; nokuba imizuzu embalwa ye-voice inokukwazi ukuvelisa i-escam enomdla ngokufanelekileyo phantsi kwimeko ye-emergency. Ukongezelela, i-challenge yokwenene kubathengi ayikho kakhulu kwi-deepfake yayo, kodwa ukunyanga lokufuna ukuvelisa. Ukuphakama okuqhubekayo yokubhalisa ukunciphisa i-reflex yobugcisa, kwenza indawo elungileyo kumadoda. 2) Expanding attack surface for companies Xa ubuchwepheshe ye-deepfake zangaphambili, iinkampani zihlanganisa ukuba zibonele ngaphandle kweengxaki zeengxaki, kodwa nangaphandle kweengxaki zokusetyenziswa kwiinkqubo zayo zangaphakathi. Iingxaki apho iingxaki zeengcali zihlanganiswa ukuze bafumane 'ukudluliselwa ezininzi' ziyafumaneka. Iingxaki zeemveliso zangaphantsi, iividiyo ze-manipulative, kunye neengxaki zangaphambili ezahlukahlukeneyo ezahlulwe ngabasebenzi zibonele iinkcukacha ze-face/voice cloning, ukwandisa i-reputation risk kwiimveliso. Njengoko amaqela ze-security, siza kuxhomekeke kuphela iingxaki ze-data, kodwa nang 3) Why are voice imitation and video cloning now more dangerous? Iimodeli ezintsha ze-AI hhayi kuphela zibonisa izibonelelo. Kwakhona zihlanganisa i-face expressions, i-micro-expressions, i-rhythm of speech, ukuchithwa, kwaye kwakhona izibonelelo ze-voice. Oku kwenza i-contents ye-fake ayikwazanga kuphela 'ukubalwa' kodwa ngexesha elifanelekileyo ukufumana. Ngenxa yoko, iingxaki ziye zibe ngokukhawuleza, ezisebenzayo, kwaye ezininzi ezinzima. 4) Phishing attacks are at a new level: So what are we going to do? I-era ye-classical 'click the link' iingxowa iyaphambili; ngoku kukho iingxaki ze-phishing ezininzi zihlanganisa i-voice yakho, ukuvelisa i-panic, kunye nokuthintela nge-video. I-Defense Reflex ye-individual yahlanganisa iinyathelo ezininzi ezincinane kodwa ezininzi ezininzi. Ukubonisa i-Security Word ezisetyenziswa phakathi kwabasetyhini kunye nabasetyhini ezinxulumene ngempumelelo iinkqubo ze-panic ezisetyenziswa ngama-attackers nge- imitation ye-voice. Ukongezelela, indlela ye-‘waxha iinyanga ezimbini kwaye uyifumana kwizilwanyana ezahlukileyo’ yeengxaki zokusetyenziswa kwimali, i-password, okanye iinkcukacha zokusebenza zokusetyenziswa kubasetyhini yinto elula kodwa eliphumo kakhulu kwizinga le-deepfakes. Ukuguqulwa kwividiyo xa isicelo se-voice iye For companies, the issue requires more structural resilience. Not using voice authentication alone, introducing dual signature and video verification mechanisms for administrative processes significantly reduces fraud risk. It is critically important for employees to receive regular deepfake awareness training using real examples (especially in finance, human resources, and operations teams). Against internal threats, anomaly detection systems that monitor behaviour and access patterns are essential. Kwimveliso, le ngxaki kufuneka ubunzima kakhulu. Ukusetyenziswa kwe-voice authentication kuphela, ukuvelisa iinkqubo ze-double signature kunye ne-video verification kwiinkqubo zokusebenza zokusetyenziswa kakhulu i-fraud risk. Kubalulekile kakhulu ukuba abasebenzi ufumane ukuqeqeshwa kwe-deepfake awusebenziswano ngokushesha ngokusebenzisa iimveliso ze-real (ngakumbi kwi-finance, i-human resources, kunye ne-operations teams). Ukusetyenziswa kwimigodi ze-internal, iinkqubo ze-anomaly detection ezinxulumene ne-conduct kunye ne-access patterns kubalulekile. 5) Post-quantum era: How will the threat evolve? Ukukhula kwamakhompyutha we-quantum kuya kubangela ukuvelisa kwe-deepfake ngokukhawuleza nangokufanelekileyo. Kwakhona, njengoko iindlela ezininzi ze-encryption ezibonakalayo namhlanje ziya ziya ziyafumaneka kumakhompyutha we-quantum, iinkqubo ze-identity verification ziya kufuneka ziye zibonwe ngokufanelekileyo. Ukulungiselela kwesixesha leyo akukwazi ukhethe ubuchwepheshe; kunokuba ingxenye yobunzima yeestrategy yobuchwepheshe. Ngoko ke, indlela yokwenza i-infrastructure ye-quantum-secure? 
 
 
 
 
 
 Qhagamshelana ne-post-quantum cryptography: Izifundo kufuneka zibonise i-roadmap namhlanje yokuguqulwa kwi-algorithms ze-quantum-resistant efunyenwe yi-NIST. Ngenxa ye-"catch today, break tomorrow" model, kwakhona iinkcukacha ezihlawulwe namhlanje ziya kubaluleke ngexesha elandelayo. Ukuphucula iinkqubo ezibalulekileyo: I-VPN, i-TLS, i-electronic signatures, i-certificates, kunye ne-identity management solutions kufuneka ziye ziye zithunyelwe kunye ne-protocols ze-quantum-resistant. Ukusetyenziswa kwe-cryptography ye-hybrid: Ngexesha lokugqibela, i-cryptography ye-classic + ye-quantum-resistant kufuneka isetyenziswe kunye; oku kukunciphisa ingozi yokusebenza. Ukongezelela izihlangu ezintsha kwi-authentication: Njengoko i-voice okanye i-face kuphela ayikho, izindlela ezininzi ezifana ne-hardware keys, i-device-based authentication, kunye ne-behavioral biometrics ziya kuqhuba. Ukunciphisa ukulawulwa kwedatha: Umthamo ophezulu kwiminyaka ye-quantum yi-storage data ebonakalayo. Ukunciphisa i-life cycles ye-data ikunciphisa i-attack surface kumadoda nabasebenzi. 
 
 Kwixesha le-post-quantum, ingxaki ye-deepfake iya kukukhula kuphela ngokusebenzisa iinkcukacha ze-fake engaphezulu, kodwa nangokuthi ngokusebenzisa ukunyuka kwe-fundamental security infrastructures. Ngoko ke, izinyathelo ezininzi ziye ziye ziye ziye zihlanganisa isiseko se-reality kunye ne-identity. Kwixesha le-post-quantum, ingxaki ye-deepfake iya kukukhula kuphela ngokusebenzisa iinkcukacha ze-fake engaphezulu, kodwa nangokuthi ngokusebenzisa ukunyuka kwe-fundamental security infrastructures. Ngoko ke, izinyathelo ezininzi ziye ziye ziye ziye zihlanganisa isiseko se-reality kunye ne-identity. 6) How can we distinguish the real from the fake? Kwiminyaka ye-deepfakes, kunokuba akukho isisombululo olugqibeleleyo. Nangona kunjalo, isisombululo se-three-tier isebenza ngokuchasene kwinqanaba yokhuseleko lwekhono: ubuchwepheshe, isebenza kunye nesakhiwo. 1. Technological layer: Proving the source of content I-technology ye-security ye-new-generation ibonelela ekubuyiselwa ukuba iinkcukacha zithunyelwe kwiziko kunye nabaqhutywa, kunokuba iinkcukacha zayo. 
 
 
 
 On-device authenticity ukucinga I-Digital Signatures kunye ne-Provenance Tags kwi-Content Production Ukubuyekezwa kwe-Content Chain kwi-Platforms Zonke iinkqubo ziquka ezingenalutho, kodwa ziquka i-security layer enikezela inqubo ye-validation kwinqanaba le-infrastructure, ngaphandle kokufumana kubathengi. 2. Behavioural layer: Verification reflex 
 
 Kwiintsuku, ubunzulu olusebenzayo ayikho ubuchwepheshe; oku kwimveliso yethu. Kwiintsuku, ubunzulu olusebenzayo ayikho ubuchwepheshe; oku kwimveliso yethu. 
 
 
 
 Ukuba ingxaki ye-content iye yenza iimpawu zakho (i-angu, i-panic, i-urgency), uqhagamshelane uxhomekeke. Ngaba ukhuseleko isisombululo efanayo; ufumane isivumelwano ngokusebenzisa i-channel yesibini. Khetha indlela elifutshane kunye nabantwana bakho ukuze uyifumana ukuba umyalezo omnxeba okanye umyalezo omnxeba: i-code word, i-question ye-party yeyiphi na umyalezo, okanye i-channel yesibini ye-communication. The goal is not to identify the truth immediately, but to be able to stop before being misled. 3. Structural layer: Corporate and legal awareness I-Defense ye-Corporate ayinayo kuphela isebenzo ze-Security; inokufuneka isakhiwo se-Consciousness ehlabathini lonke inkampani. 
 
 
 
 Iinkampani ziquka i-deepfake i-scenaries kunye ne-worms yobugcisa abasebenzi. Iimveliso ziquka ukulungiselela iimfuno ezidlulileyo ze-criminal kwi-digital and making them enforceable, ngaphandle kokufunda iimfuno ezintsha. I-State should move towards storing fewer and more secure data, ngaphandle kokufaka idatha emininzi. 
 
 
 Kwiminyaka ye-deepfakes, ukhuseleko lethu elikhulu ayikho ubuchwepheshe; i-reflex yenza imibuzo efanelekileyo ngexesha elifanelekileyo: 'Uya kwenziwa ngokufanelekileyo, okanye kufuneka kwakhona kwakhona?' Kwiintsuku apho ubomi lula ukutshintshwa, ukhuseleko lithuba ukutshintshwa kwezinto zokuzonwabisa kunye ne-intelligence ye-institutional, kunokuba kwi-algorithms okanye i-software. Ngokutsho: I-deepfakes iyinto ezintsha, kodwa indlela yokuphumelela nayo ibonakalayo: uqhagamshelane, ukulawula kwaye usebenzise iinqwelo ezininzi. Kwiminyaka ye-deepfakes, ukhuseleko lethu elikhulu ayikho ubuchwepheshe; i-reflex yenza imibuzo efanelekileyo ngexesha elifanelekileyo: 'Uya kwenziwa ngokufanelekileyo, okanye kufuneka kwakhona kwakhona?' Kwiintsuku apho ubomi lula ukutshintshwa, ukhuseleko lithuba ukutshintshwa kwezinto zokuzonwabisa kunye ne-intelligence ye-institutional, kunokuba kwi-algorithms okanye i-software. Ngokutsho: I-deepfakes iyinto ezintsha, kodwa indlela yokuphumelela nayo ibonakalayo: uqhagamshelane, ukulawula kwaye usebenzise iinqwelo ezininzi.

This story contains new, firsthand information uncovered by the writer.

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

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