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3,071 ukufunda

I-Business Pros I-AI I-Risks Eyenziwe Nge-Tech Teams, I-Social Links Study Ukubonisa

nge HackerNoon Press Releases4m2025/06/20
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Inde kakhulu; Ukufunda

New York, NY, 13 Juni 2024—Ukuhlolwa olutsha kwi-Social Links, umongameli kwiinkqubo ze-open-source intelligence, ibonise umlinganiselo phakathi kwabasebenzi zobuchwepheshe kunye nabasebenzi zobuchwepheshe xa kuxhomekeke ekugqibeleni iingxaki ze-AI-powered cyberattacks. Ngaphandle kokuphumelela ngokushesha kwama-threat sophistication, abathengi be-business ziyafumaneka kakhulu ngaphantsi kweengxaki zabo ze-tech. Le nkqubo ibonise i-blind spot enomthombo yokufanelekileyo.
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Uhlalutyo olutsha yeSocial Links, umongameli kwizisombululo ze-open-source intelligence, ibonise ingxaki phakathi kweengcali zobuchwepheshe kunye neengcali zobuchwepheshe xa kuxhomekeke ekugqibeleni iingxaki ze-AI-powered cyberattacks. Nangona ukwandisa ngokukhawuleza kwinxalenye yeengxaki, abathengi be-business ziyafumaneka kakhulu ngaphantsi kweengcali zabo ze-tech. Le nkcazelo ibonise i-cloud spot yeenkqubo yokufanelekileyo.

Ukuhlolwa kwihlabathi iinkcukacha ze-237 abasebenzi (kusuka kwi-CEO kunye ne-Technical C-level ukuya kwi-Cybersecurity Specialists kunye ne-Product Managers) kwiinkalo ezahlukeneyo, kuquka i-Financial Services, Technology, Manufacturing, Retail, Healthcare, Logistics, Government, njl.

Iimiphumo zibonakalisa ukuba kuphela i-27.8% yabasebenzi (iingcali e-non-tech, i-business-oriented roles) zibonakalisa ukusetyenziswa kwe-AI ukuvelisa iingcebiso ze-fake njengoko enye yeengcaciso ze-cyber. Ngokungafani, i-53.3% yabasebenzi ze-tech zibonakalisa njengoko ingxaki yokuqala-ngaphezulu kwe-alarm. I-pattern efana ne-deepfake technology: i-46.7% yabasebenzi we-tech zibonakalisa ingxaki, phantse i-27.8% yabasebenzi abalandeli.

Oku kubaluleke i-crisis ye-organizational security: Abasebenzi be-business, abavela kubaluleke izigulane ze-sofisticated AI-driven social engineering kunye ne-deepfake schemes, zibonisa izinga ezincinane ze-preoccupation okanye i-consciousness malunga neengxaki ze-AI.

Kwakhona, iingqungquthela ezininzi ze-Cyber Threats ezidlulileyo kwi-Finances and Accounting (24.1%), i-IT and Development (21.5%), i-HR and Recruitment (15.2%), kunye ne-Sales and Account Management (13.9%).

"Kukho kwimeko ye-if" - iintsholongwane ezisetyenziswa kwe-AI ziyafumaneka kwaye zihlanjiswa ngokukhawuleza," wathi Ivan Shkvarun, CEO ye-Social Links. "Sibona umngcipheko ebonakalayo phakathi kwimigodi zokusetyenziswa kunye neentsholongwane ezininzi ezinokuthintela. Ukuphuculwa kwimigodi ebonakalayo kufuneka akufuneka kuphela izixhobo ezilungileyo zobuchwepheshe, kodwa ukunyaniseka kunye nokufundiswa kwizinga zonke kwinqanaba yeenkampani."

"Kukho kwimeko ye-if" - iintsholongwane ezisetyenziswa kwe-AI ziyafumaneka kwaye zihlanjiswa ngokukhawuleza," wathi Ivan Shkvarun, CEO ye-Social Links. "Sibona umngcipheko ebonakalayo phakathi kwimigodi zokusetyenziswa kunye neentsholongwane ezininzi ezinokuthintela. Ukuphuculwa kwimigodi ebonakalayo kufuneka akufuneka kuphela izixhobo ezilungileyo zobuchwepheshe, kodwa ukunyaniseka kunye nokufundiswa kwizinga zonke kwinqanaba yeenkampani."

Iinkcukacha eziphambili ezivela kwi-Research:

Iingxaki ze-AI vs. Iingxaki ze-AI: Nangona i-phishing kunye ne-e-mail scam ziyafumaneka iingxaki ezininzi zithunyelwe (69.6%), ezidlulileyo kunye ne-malware / ransomware (49.4%), iingxaki ze-AI zithunyelwe zithunyelwe. I-39.2% yeengxaki zithunyelwe ukusetyenziswa kwe-AI ekwenzeni iingxaki zeengxaki kunye neengxaki ezininzi, kunye ne-32.9% zithunyelwe kwi-deepfakes kunye ne-identities ze-synthetic - okuvumela ukuba i-technology ye-generative iye yinkonzo elidlulileyo kwindawo yeengxaki ze-corporate.

"Ukuhambisa kwezimpendulo ezivamile ezifana ne-phishing kunye ne-malware zixhomekeke kwi-charts. Kodwa oku khetha ngoku, ukuba i-AI ayikho ukuguqulwa kwezimpendulo ezininzi, yaye i-hypercharge, ukuguqulwa iimpendulo ze-generic kwi-operations ezisetyenzisiweyo - ngokukhawuleza, ezininzi, kwaye ezininzi ezininzi ezininzi. Yeyona i-shift efanelekileyo: i-automation kunye ne-personalization kwi-scale," iveza u-Ivan.

"Ukuhambisa kwezimpendulo ezivamile ezifana ne-phishing kunye ne-malware zixhomekeke kwi-charts. Kodwa oku khetha ngoku, ukuba i-AI ayikho ukuguqulwa kwezimpendulo ezininzi, yaye i-hypercharge, ukuguqulwa iimpendulo ze-generic kwi-operations ezisetyenzisiweyo - ngokukhawuleza, ezininzi, kwaye ezininzi ezininzi ezininzi. Yeyona i-shift efanelekileyo: i-automation kunye ne-personalization kwi-scale," iveza u-Ivan.

I-Employee Footprint Risk: I-60.8% yeengxaki zibonisa ukuba abasebenzi usebenzisa i-akhawunti ze-corporate ngenxa yeemfuno yomsebenzisi - ezifana nokuthumela kwi-forums, ukuxhaswa kwi-social media, okanye ukuhlaziywa kwiprofayili ze-publish. I-59,5% kwakhona ibandakanya idatha yabasebenzi ezinokufumaneka ngokubanzi (isib. i-LinkedIn bios, imisebenzi kwi-forums kunye neeblogs) kunye neengxaki ze-cyber ezifanelekileyo, zihlanganisa njengoko ingxaki ezininzi zeengxaki.

Ukusetyenziswa kwe-AI engabonakaliweyo: Ngaphezulu kwe-82% kumazwe abasebenzi ukuba usebenzisa izixhobo ze-AI ekusebenzeni, kodwa kuphela i-36.7% iye unyango esemthethweni ekulawuleni indlela yokusetyenziswa kwezixhobo ze-AI. Le nqakraza ivimbela "i-Shadow AI" - ukusetyenziswa kwe-chatbots, i-code assistants, okanye ezinye iinkonzo ze-AI ngaphandle kwe-IT oversight, leyo inokufunda idatha ebonakalayo kunye neengxaki ze-security kunye ne-compliance.

"Ukuba ungenza ukuba abantu usebenzisa i-akhawunti zokusebenza okanye iinkcukacha xa ziyafumaneka kwi-intanethi. Yinto efanayo kwizixhobo ze-AI: abantu zisetyenziselwa ukunciphisa ixesha okanye ukufumana ukhuseleko kwiziko, ngaphandle kokufanelekileyo okanye ngaphandle. Kodwa zonke le mveliso ivumela izixhobo ze-digital. Kwaye izixhobo ze-scammers zenza lula ukufumana kunye nokuthintela abasebenzi. Yinto efanelekileyo yokufunda abantu indlela yokufumana iingxaki kunye nokufumana izixhobo ezifanelekileyo zokhuseleko, ngaphandle kokucinga nje "ukucinga".

"Ukuba ungenza ukuba abantu usebenzisa i-akhawunti zokusebenza okanye iinkcukacha xa ziyafumaneka kwi-intanethi. Yinto efanayo kwizixhobo ze-AI: abantu zisetyenziselwa ukunciphisa ixesha okanye ukufumana ukhuseleko kwiziko, ngaphandle kokufanelekileyo okanye ngaphandle. Kodwa zonke le mveliso ivumela izixhobo ze-digital. Kwaye izixhobo ze-scammers zenza lula ukufumana kunye nokuthintela abasebenzi. Yinto efanelekileyo yokufunda abantu indlela yokufumana iingxaki kunye nokufumana izixhobo ezifanelekileyo zokhuseleko, ngaphandle kokucinga nje "ukucinga".

Ukucaciswa kubonisa ukuba ukhuseleko olusebenzayo kwi-cyber security kwiminyaka ye-AI kufuneka isisombululo epheleleyo esuka ngaphezu kweenkcukacha zobuchwepheshe ukuze kubandakanya iiprograms ezininzi ze-human-centric.

Ukuqeqeshwa kwabasebenzi kwi-AI ekhuselekileyo isetyenziswa ngokubanzi kwizibuyekazi njengoko ukhetho olusebenzayo ye-Shadow AI (72.2%), emva kokuphuhlisa iinkqubo zangaphakathi (46.8%).

I-Social Links inikezela ukuxhaswa kwezi zophando ezintsha kunye nokuvela ngexesha elidlulileyoI-Darkside AI InitiativeUkusetyenziswa kwakhona kunye nokunciphisa iingxaki ezidlulileyo ze-AI-driven threats.

I-Darkside AI Initiative

I-Social Links inikeza iinkonzo ze-open-source intelligence (OSINT) iinkonzo, ezaziwa ngokuba yi-industry leader ngu-Frost & Sullivan. I-United States ibekwe kwi-United States, i-United States. I-Social Links inikeza iinkonzo ezininzi ze-500 iinkonzo ezivela kwi-social media, i-messengers, i-blockchains, kunye ne-Dark Web, okuvumela abasebenzisi ukubonelela kunye nokuhlola umfanekiso wophuhliso olupheleleyo kunye nokukhutshisa izifundo. Iinkonzo zayo zinxhaswa iinkqubo ezininzi kwiinkalo ezahlukeneyo, kuquka i-law enforcement, i-national security, i-cyber security, i-due dil

Iinkonzo:

Ukucinga:iimveliso: iimveliso:

iimveliso: iimveliso:

Iwebhusayithi:Social Links

Ukuqhagamshelwano

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