Ingozi yokhuseleko yiyo nayiphi na isiganeko, umdlali, okanye imeko enokuthi ibeke emngciphekweni ubumfihlo, ukuthembeka, okanye ukufumaneka kwenkqubo. Loo ngcaciso ayitshintshanga kwiminyaka emininzi eyadlulayo. Okutshintshileyo kukuba izisongelo zivela phi, zihamba ngokukhawuleza kangakanani, kwaye, okona kubaluleke kakhulu, zingaphi ngoku ezifihla kwizinto ebekungekho mntu waziyo ukuba zikhona.
Uninzi lwamaqela okhuseleko aluphulukani nohlaselo olutsha noluphucukileyo. Luphulukene nobutyebi obungabonwanga mntu: iseva yokucwangcisa elibalekileyo, i-API engabhalwanga phantsi, iarhente ye-AI umphuhlisi ayifake kwiveki ephelileyo, ukuxhomekeka okutsalwe kwirejista yomthombo ovulekileyo enegama elikuphela kwalo Bukeka ngokusemthethweni. Umsantsa phakathi koko ucinga ukuba uqhuba noko kutyhilwayo kulapho uninzi lwezisongelo zokhuseleko zanamhlanje ziqala khona.
Esi sikhokelo sigubungela iintlobo eziphambili zezisongelo zokhuseleko, indlela ezoyikiso ezahluke ngayo kwizoyikiso kunye nomngcipheko, kunye nesizathu sokuba ukufunyanwa komphezulu wohlaselo (ukufumana rhoqo kunye ne-cataloginyonke into onayo) iye yaba lulawulo olusisiseko lokuvala loo msantsa ngaphambi kokuba umhlaseli awufumane kuqala.
Ziziphi Iintlobo Eziphambili Zeengozi Zokhuseleko?
Izisongelo zokhuseleko ziwela kwiindidi ezimbalwa eziphindaphindayo. Uninzi lweziganeko ezenzeka ngokwenene zidibene nezinye ezininzi.
- isoftwe: isoftware enobungozi equka iintsholongwane, iimpethu, iitrojans, kunye ne-spyware ezenzelwe ukonakalisa, ukuphazamisa, okanye ukufumana ukufikelela okungagunyaziswanga kwiinkqubo.
- ransomware: uhlobo lwe-malware olufihla idatha kwaye lufuna intlawulo. Iinguqulelo zanamhlanje zisebenzisa ukuxhaphaza okuphindwe kabini nokuphindwe kathathu, zikhupha idatha ngaphambi kokuyifihla kwaye zisongela ukukhululwa esidlangalaleni.
- Ubunjineli be-Phishing kunye noluntu: ukukhohlisa abantu ukuze batyhile iziqinisekiso okanye ukubanika imvume yokufikelela. Isengomnye weyona vectors iphambili ezintathu zokufikelela kokuqala unyaka nonyaka.
- Ukuxhatshazwa kweziqinisekiso: ukusetyenziswa kweziqinisekiso ezibiweyo, ezivuzayo, okanye ezibuthathaka ukuze kufunyanwe ukufikelela. Eyona vektha yokufikelela kokuqala eqhelekileyo kwidatha yokwaphulwa komthetho.
- Ukuxhatshazwa kwabantu abasengozini: ukuhlasela isiphene esingachazwanga kwisoftware okanye kwiziseko zophuhliso. Ivektha yokufikelela kokuqala ekhula ngokukhawuleza, kwaye ingqwalasela eninzi yesi sikhokelo.
- Uhlaselo lwekhonkco lokubonelela: ukulimaza umbutho ngokusebenzisa umntu wesithathu othembekileyo, ukuxhomekeka, okanye ukwakha pipeline endaweni yokuyihlasela ngokuthe ngqo.
- Izisongelo ngaphakathi: umngcipheko ovela kubasebenzi, abakhi, okanye amaqabane, nokuba ngoonobangela okanye ngengozi.
- Uhlaselo lwe-Zero-day: ukusetyenziswa kobuthathaka ngaphambi kokuba kubekho i-patch, okushiya kungekho thuba lokulungisa kwangaphambili.
- Ukuhlaselwa kweDDoS: ukuxinanisa inkqubo ngetrafikhi ukuze ingabikho.
- Iingozi ze-API kunye ne-AI: uhlaselo oluchasene nee-API eziveziweyo, ii-arhente ze-AI, kunye nethrafikhi yoomatshini ukusuka koomatshini ukuya koomatshini, udidi oluvela ngokukhawuleza, kunye nolona uninzi lwemibutho lubonakala kancinci kulo.
Inyaniso engathandekiyo ebonakala kuzo zonke ezi shumi: isoyikiso sinokukhuseleka kuphela ukuba impahla esijolise kuyo iyaziwa. Yonke into engezantsi imalunga nokwenza okungaziwayo kubonakale.
Umngcipheko woKhuseleko vs. Ubuthathaka vs. Umngcipheko
La magama mathathu asetyenziswa ngokutshintshana kwaye akufuneki asetyenziswe. Umahluko ulawula indlela obeka ngayo izinto phambili.
Ukufunyanwa komphezulu wohlaselo kubonakalisa izinto kunye nobuthathaka ukuze izoyikiso zivavanywe ngokubhekiselele kumfanekiso opheleleyo, kwaye ke umngcipheko unokubalwa ngokutyhileka kokwenyani endaweni yokuqikelela.
Kutheni Iindawo Ezingaboniyo Zibangela Iingozi Zokhuseleko Zanamhlanje
Izisongelo zisetyenziswa ngokukhawuleza kunangaphambili, kwaye izinto abazijolisa kuzo azibonakali ngakumbi. Amanqaku amathathu edatha abeka uguquko.
Kufikelelwe ekusetyenzisweni kakubi Ama-20% olwaphulo-mthetho ngo-2025, ukwanda kwama-34% unyaka nonyaka, ivala ukusetyenziswa gwenxa kweziqinisekiso (22%) njengevektha ephezulu yokufikelela kokuqala (iVerizon 2025 DBIR). Amanqaku okungena angaphezulu ayasetyenziswa, kwaye ayasetyenziswa kungekudala: kaMandiant IiM-Trends zika-2026 ingxelo yokuba ixesha eliqhelekileyo lokusetyenziswa lihambe ngempumelelo ezimbi, ngokurhabaxa Iintsuku ezi-−7, oko kuthetha ukuba ukuxhatshazwa ngoku kudla ngokuqala phambi kokuba kukho ipetshi ekhoyo. Iqela le-Treat Intelligence likaGoogle liyalandelelwa Iintsuku ezingama-90 zero-days ezisetyenziswa endle ngo-2025, phantse isiqingatha sabo sijolise enterprise ubuchwephesha.
Amanqaku okungena angaphezulu, asetyenziswa ngokukhawuleza, ngesilumkiso esincinci: loo ndibaniselwano ilungilecisKutheni le nto iindawo ezingabonakaliyo ziye zaba yeyona nto iphambili kwiingozi zokhuseleko zanamhlanje endaweni yokuba zibe yingxaki yesibini. Xa ithuba phakathi kokutyhilwa nokuxhaphazwa liphela, ekuphela kwezinto onokuzikhusela zezo sele uzazi ukuba unazo.
Kwaye uninzi lwemibutho alwazi. Ama-73% afumene isiganeko sokhuseleko esibangelwe zizinto ezingaziwayo okanye ezingalawulwayo (Trend Micro, 2025), kunye nophando lwe-EY luka-2026 lufumene Ii-36% zeempahla zikwindawo “yokungakwazi ukuzikhusela” ngokubonakala okungaphantsi komndilili kunye nokugubungela. Yonke impahla ekwelo sithuba (indawo endala, i-API elibalekileyo, ukuxhomekeka akukho mntu ukhumbulayo ukuyongeza) sisongelo sokhuseleko oluphilayo olungakhange lujongwe siskena, kuba nje kungekho mntu uxelele iskena ukuba sikhona.
Kutheni Amabala Angaboniyo Eqhubeka Esanda, Ingakumbi Kwi SDLC
Ukuba ukubonakala komphezulu wohlaselo bekuyingxaki esonjululweyo, iindawo ezingabonakaliyo beziya kuncipha. Endaweni yoko ziyanda, ngenxa yezizathu ezinxulumene ngqo nendlela ekwakhiwa ngayo isoftware yanamhlanje.
I-Shadow IT kunye ne-Shadow AI ulawulo olugqithileyo. Ama-45% emibutho athi ayinalo ulwazi olwaneleyo malunga ne-shadow IT (Ivanti, 2026), kwaye le ndlela ifanayo ngoku iyasebenza kwi-AI: Ama-48.9% emibutho ayiboni kwaphela ithrafikhi yoomatshini kwaye ayinakukwazi ukujonga iiarhente ze-AI esele zisebenza kwindawo yazo. (Salt Security, 1H 2026). Umncedisi wekhowudi ye-AI, iarhente ezimeleyo, okanye iseva ye-MCP elungiselelwe kwizicwangciso zasekuhlaleni zomphuhlisi ifana kakhulu nomphezulu wengozi yokhuseleko njengeseva engafakwanga ipatch; akunakwenzeka ukuba ivele kuluhlu lweeasethi zomntu.
Ii-API zandisa umphezulu ngokukhawuleza kunokuba amaqela enokuwukhusela. kuphela 19% CISI-Os inika ingxelo yokubonakala ngokupheleleyo kwii-API zayo, kwaye yi-27% kuphela naphakathi kwezikhulu enterprises (Salt Security, 2025). Iziphumo sele zifikile: Ama-87% emibutho ahlaselwe ziintlo ze-API ngo-2025 (Akamai SOTI 2026). Ii-Shadow APIs kunye neendawo zokugqibela ezingabhalwanga, ngokwenkcazo, azibonakali kuyo nayiphi na inkqubo yokufumanisa egcina kuphela oko kubhalwe ngokusesikweni.
Ikhonkco lokubonelela ngemithombo evulekileyo likwayinxalenye yomphezulu wohlaselo lwangaphandle. Ukwaphulwa kwemithetho ebandakanya amaqela esithathu iphindwe kabini ukusuka kwi-15% ukuya kwi-30% kunyaka omnye (iVerizon 2025 DBIR). Iintshaba zinegalelo kwikhowudi ebonakala isemthethweni kwiiprojekthi ezivulelekileyo, zakha ukuthembana, kwaye zilinde, oko kuthetha ukuba ukuxhomekeka konke okutsalelwe kwisiseko sekhowudi ngokwako kungumgqatswa wokufunyanwa komphezulu wohlaselo, kungekuphela nje kweziseko ezikwikhonsoli yelifu. Le yingqiqo engasemva. ukuqubha ngeenyawouphando oluvezwe kwi Ukhuseleko lwe-USENIX 2025 zifumene ii-LLM zicebisa amagama eepakeji angekhoyo malunga 20% yexesha, kwaye abahlaseli babhalise kwangaphambili loo magama abonakala ngathi ayinto engekhoyo ukuze balinde umncedisi we-AI ukuba awacebise. Iiphulo zika-2025 ezithiywe ngamagama afana nala: PhantomRaven (Iipakeji ezili-126 ze-npm ezinobubi, ukhuphelo oluyi-~86,000) kunye nokuzisasaza ngokwakho Shai Hulud I-worm ibonisa indlela esebenza ngayo loo patheni. Ingozi yokhuseleko ayifiki nge-firewall; ifika nge- pip ufake.
Yintoni ukufunyanwa koMphezulu woHlaselo?
Ukufunyanwa komphezulu wohlaselo yindlela yokufumana rhoqo, i-cataloging, kunye nokubeka esweni yonke impahla ephethwe yintlangano yakho okanye enxulumene nayo (eyaziwayo nengaziwayo ngokufanayo) ukuze izisongelo zokhuseleko zivavanywe ngokubhekiselele kumfanekiso opheleleyo endaweni yomfanekiso ongaphelelanga.
Sisiseko sendlela ebanzi yokufundisa ulawulo lomphezulu wohlaselo (i-ASM), inkqubo eqhubekayo yokufumanisa, ukwahlulahlula, kunye nokubeka esweni zonke iindawo zokungena ezinokubakho umhlaseli anokuzisebenzisa. Umahluko ubalulekile: Ukufumanisa iimpendulo ezithi “yintoni esinayo ngokwenene?” ulawulo yile nto uyenzayo ngaloo mpendulo: ukubeka phambili, ukuqinisekisa, kunye nokuvala izikhewu.
Izinto ezimbini zahlula ukufunyanwa kwezinto zokwenyani kwizinto ezifunyenwe kube kanye:
- Ayilindi ukuxelelwa into emayiyikhangele. Umahluko obalulekileyo phakathi kwezixhobo kukuba ingaba ukufumanisa kufumanisa izinto ozifunayo na musa sele uyazi ngayo. Amanye amaqonga askena kuphela oko ukuhlwayeleyo kuwo; amanye asebenzisa uphononongo olusebenzayo ukufumana iziseko, i-IT emnyama, iinkonzo ezingenabazali, kunye nokuxhomekeka okungalawulwayo ngaphandle koluhlu lokuqala. Inkqubo ejonga kuphela oko sele kukwispredishithi ayikokufumanisa; kukuqinisekisa.
- Iqhubeka rhoqo, kungekhona ngamaxesha athile. Izixhobo zelifu ziyajikeleza zize zihle, iinkonzo ziyasetyenziswa, kwaye abaphuhlisi bathumela ikhowudi amaxesha amaninzi ngemini. Uvavanyo lwexesha luphelelwa lixesha xa kuqaliswa inkqubo entsha, eli lixesha kanye apho kuvela khona izisongelo ezintsha zokhuseleko. Ukuba ukufunyanwa akukwazi ukuhambelana nesantya sotshintsho, umngcipheko omtsha ongenisiweyo uhlala ungabonakali de usetyenziswe.
Indlela Ukufunyanwa Komphezulu Wohlaselo Okunciphisa Ngayo Umngcipheko Kuyo Yonke Indawo SDLC
Isetyenziswa kuphuhliso lwesoftware, ukufunyanwa komphezulu wohlaselo akuyonto yokuvavanya umgamacise; yi ikhowudi-ukuya-kwilifu enye. Nantsi indlela ebonakala ngayo loo nto, inqanaba ngenqanaba.
Kwinqanaba lekhowudi kunye nokuxhomekeka. Yonke imodeli, iarhente, iseva ye-MCP, kunye nephakheji yomthombo ovulekileyo edityaniswe kwiprojekthi yimpahla entsha kwangoko xa yongezwa, kwaye kufuneka ifunyanwe kwangoko okwenzekayo, kungekhona emva kweeveki ngexesha lokuhlolwa okucwangcisiweyo. Ukuphatha ukuxhomekeka okungeniswe yi-AI njengeempahla zeklasi yokuqala, ngendlela efanayo naleyo ubuya kuphatha ngayo i-instance entsha yelifu, kuvala abahlaseli be-blind spot abasebenzisa ngokuqhekeza kunye nokudideka kokuxhomekeka. (Uphando lukaWallarm luka-2026 lurekhode i- Ukwanda ngama-398% kobuthathaka obunxulumene ne-AI kunye a Ukunyuka ngama-270% kwiziphene ezinxulumene ne-MCP kwikota enye; lo mphezulu uhamba ngokukhawuleza.)
Kuphela CI/CD pipelines. Izixhobo eziqhekekileyo on-premises, ilifu, iSaaS, kunye neendawo ezikude kudala iindawo ezingabonwayo kunye nomzamo ophindaphindwayo. Ukudibanisa kuvumela amaqela ukuba ahambelane nezinto ezifunyenweyo kwaye aqonde indlela iingozi ezidibana ngayo: ukuxhomekeka okusandul' ukufunyanwa okuchazwe kwinto enokufikelela kuyo ngokwenene (imfihlo enokuyityhila, imvume eyizuzayo) endaweni yokuphathwa njengesilumkiso esizimeleyo.
Kuzo zonke iindawo zelifu nexesha lokusebenza. Imizila yeenyawo zelifu idla ngokwanda ngokukhawuleza kunokuba amaqela okhuseleko enokulandelela, kwaye oko kukhokelela ekuphulweni kwemithetho okubangelwa kungengenxa yohlaselo oluntsonkothileyo kodwa kukungazinzi kakuhle kwezinto kunye nezinto ezilibalekileyo: ukufunyanwa kweziqhamo eziphantsi kwenzelwe ngokukodwa ukubamba ngaphambi kokuba kube yingxelo yesiganeko. Isantya sibalulekile apha: Uphando lweCrowdStrike luka-2026 lubeka ixesha eliqhelekileyo lokuqhambuka kweentshaba kwi-100% kuphela. imizuzu 29.
Kubekwa phambili ngokona kubaluleke ngokwenene. I-ASM esebenzayo idibanisa iziphumo zobugcisa nomxholo weshishini (ubunini, injongo yesicelo, uvakalelo lwedatha) ukuze amaqela okhuseleko, i-IT, kunye nophuhliso asebenze ngokuqondana okuhlanganyelweyo komngcipheko endaweni yoluhlu olungahlukanga. Kulapho ke apho Uluhlu lwe-AI kunye ASPM izenzo ukufumana indawo yabo: ukwenza imaphu yazo zonke izinto ezifumanekayo SDLC, inxibelelanisa nokuchatshazelwa kunye nempembelelo yeshishini, kwaye iveza inxenye yezisongelo zokhuseleko ezimele umngcipheko wokwenene, onokuxhaphazwa kunokuba zibe zezo zithiyori.
Kutheni Oku Kubalulekile Ngaphezu Kwangaphambili Okwangoku
UGartner uxela kwangaphambili ukuba ngo-2026, imibutho ebeka phambili utyalo-mali lokhuseleko olusekelwe kwinkqubo yolawulo lokuvezwa kobungozi obuqhubekayo (i-CTEM) iya kuba namathuba angaphantsi kathathu okufumana ukwaphulwa komthetho. Imakethi iyaphendula: icandelo lolawulo lomphezulu wohlaselo kulindeleke ukuba likhule ukusuka kwi- I-1.25 yeebhiliyoni zeedola kwi-2026 ukuya kwi-5 yeebhiliyoni zeedola ngo-2034 (Fortune Business Insights), nto leyo ebonisa indlela le ngxaki eye yaba yeyona nto iphambili ngayo.
Awunakukukhusela into ongayiboniyo, kwaye loo mgaqo usebenza kakhulu kwiphakheji ye-npm ebonakala ngathi ayibonakali njengoko isebenza nakwibhakethi yelifu eliveziweyo. Izisongelo zokhuseleko azinciphisi isantya, kwaye imibutho evala umsantsa ngokukhawuleza yiyo ephatha ukufunyanwa komphezulu wohlaselo njengento eqhubekayo, eqhutywa yikhowudi ukuya kwilifu, kungekhona into yoluhlu lokuhlola lwekota.
Yiyo kanye le isithuba I-Xygeni yakhelwe ukuvala amaqela esoftware. Endaweni yokuphatha ukufunyanwa komphezulu wohlaselo njengento eyahlukileyocise ukusuka kukhuseleko lwesicelo, iXygeni imaphu iimodeli ze-AI, iiarhente, iiseva ze-MCP, kunye nokuxhomekeka komthombo ovulekileyo kuyo yonke indawo SDLC kunye nomngcipheko wenqanaba lekhowudi kunye noweziseko zophuhliso, ngoko ke iindawo ezingabonakaliyo ziyavela kwaye zibekwe phambili kwindawo enye amaqela ophuhliso kunye nokhuseleko asele esebenza, kungekhona kwindawo eyahlukileyo. dashboard akukho mntu uhlolayo.
FAQ
Ziziphi iintlobo eziphambili zezisongelo zokhuseleko?
Iindidi eziqhelekileyo zezi malware, i-ransomware, i-phishing kunye nobunjineli bezentlalo, ukusetyenziswa gwenxa kweziqinisekiso, ukusetyenziswa gwenxa kobuthathaka, ukuhlaselwa kwe-supply chain, izoyikiso zangaphakathi, ukuhlaselwa kwe-zero-day, ukuhlaselwa kwe-DDoS, kunye nodidi oluvela ngokukhawuleza lwezisoyikiso ze-API kunye ne-AI. Uninzi lweziganeko zokwenyani zidibanisa ezininzi ngaxeshanye.
Yintoni umahluko phakathi kwengozi yokhuseleko, ubuthathaka, kunye nomngcipheko?
Isongelo sisiganeko okanye umdlali onokuthi asebenzise ubuthathaka. Ubuthathaka bubuthathaka ngokwabo. Umngcipheko lithuba lokuba isongelo silisebenzise elo buthathaka liphindaphindwa yimpembelelo ukuba liyakwenza oko. Ukufunyanwa komphezulu wohlaselo kudibanisa izinto kunye nobuthathaka ukuze izoyikiso zivavanywe kwaye umngcipheko ubalwe ngokutyhileka ngokwenene.
Yintoni umahluko phakathi kokufunyanwa komphezulu wohlaselo kunye nolawulo lomphezulu wohlaselo?
Iimpendulo zeDiscovery "yintoni esinayo ngokwenene?": ukufumana rhoqo kunye ne-cataloginyonke impahla, eyaziwayo nengaziwayo. Ulawulo yinto oyenzayo ngaloo mpendulo: ukwahlulahlula, ukubeka phambili, ukuqinisekisa, kunye nokuvala izithuba ezivulekileyo. Ukufumanisa sisiseko solawulo esakhelwe phezu kwaso.
Kutheni iindawo ezingabonakaliyo zisonyusa izisongelo zokhuseleko endaweni yokuba zibe yingxaki nje?
Amaqela okhuseleko lwempahla awaziyo ukuba akaze alungiswe, abekwe esweni, okanye afakwe kwimpendulo yesiganeko. Ukungalawulwa akunciphisi umngcipheko; kuyalibazisa ukufunyanwa, ngokuqhelekileyo de umhlaseli ayifumane kuqala. Njengoko ixesha lokuxhaphaza ngoku lingasebenzi kakuhle, olo libaziseko ludla ngokuba yingozi.
Ngaba ukufunyanwa komphezulu wohlaselo kuyasebenza kwizixhobo ze-AI kunye nekhonkco lokubonelela ngesoftware, okanye kwiziseko zophuhliso kuphela?
Zombini, ngakumbi nangakumbi. Iimodeli ze-AI, iiarhente, iiseva ze-MCP, kunye nokuxhomekeka komthombo ovulekileyo zii-asethi ngendlela efanayo neseva yelifu okanye i-API endpoint, kwaye kufuneka zifunyanwe kwaye zijongwe rhoqo endaweni yokuba zithathwe njengezikhuselekileyo kuba "ziyikhowudi nje."
Ukufunyanwa komphezulu wohlaselo kunciphisa njani umngcipheko ngexesha SDLC ngokukodwa?
Ngonyango lonke uxhomekeko olungeniswe yi-AI, iarhente, kunye pipeline icandelo njenge-asethi enokufumaneka kwangoko xa ivela, ize idibanise loo mpahla noko inokufikelela kuko kunye nendlela evezwe ngayo, ukuze izoyikiso zokhuseleko zibanjwe kwaye zibekwe phambili ngaphambi kokuba ikhowudi ifikelele kwimveliso, kungekhona emva kwesiganeko.
