Masu haɓaka kayan aikinku suna jigilar kayan aikin cikin sauri fiye da kowane lokaci. Suna kuma gabatar da raunin tsaro a matakin da kayan aikin ku na yanzu ba a tsara su don magance su ba.
Kayan aikin rubuta lambar AI ba wai kawai suna hanzarta ci gaba ba ne. Suna hanzarta gabatar da lambar da ba ta da tsaro. Aikin radar tsaro na fasaha ta Georgia Tech Vibe An rubuta sabbin CVEs guda 35 a watan Maris na 2026 kadai, wanda aka danganta kai tsaye da kayan aikin lambar AI, daga 6 a watan Janairu. Masu bincike sun kiyasta cewa adadin da aka samu ya ninka sau biyar zuwa goma a fadin tsarin bude tushen. Binciken CSA ya gano cewa kashi 62% na lambar da aka samar ta hanyar AI ta ƙunshi kurakuran ƙira ko raunin da aka sani, koda lokacin da masu haɓakawa ke amfani da sabbin samfuran asali.
Wannan ba matsala ba ce da za ku iya magancewa ta hanyar roƙon masu haɓaka software su rage gudu. Amsar ita ce gina kayayyakin tsaro waɗanda ke tafiya daidai da ci gaban AI, kuma yawancin ƙungiyoyi ba su da ita tukuna.
Gibin da Yawancin Ƙungiyoyi Ba Su Gani Ba Sai Lokacin Ya Yi Latti
Kayan aikin lambar AI suna haifar da takamaiman matsalar tsaro wanda ba a gina kayayyakin more rayuwa na AppSec na gargajiya ba: lambar sauri mai girma, tare da tsarin gazawa daban-daban fiye da lambar da aka rubuta ta ɗan adam.
Yawancin ƙungiyoyi suna gano wannan gibin ta hanyar da ba daidai ba, lokacin da CVE ta faɗi a samarwa wanda na'urar daukar hotonsu ya kamata ta kama, ko kuma lokacin da wani sirri ya bayyana commitAn tsara shi ta hanyar aikin aiki wanda ke taimakawa wajen sarrafa ayyukan AI yana bayyana a hannun mai hari.
| Ba tare da Gudanar da Takamaiman AI ba | Tare da Xygeni | |
|---|---|---|
| Raunin lambar | Mafi yawan yawa, tsarin gazawar tsari | An kama shi a lokacin rubutu a cikin IDE kafin commit |
| Bayyana sirri | Sau 2 mafi girma a cikin taimakon AI commits | Ci gaba da dubawa + sokewa ta atomatik a duk layuka |
| Dogara mai cutarwa | AI yana ba da shawarar fakiti ba tare da binciken tsaro ba | Gano malware a lokacin bugawa, ba lokacin shigarwa ba |
| Pipeline hadarin | Babu ganuwa ga aikin kayan aiki na wakili | Tushen halaye + gano abubuwan da ba su dace ba |
| Sakamakon | Bashin tsaro yana taruwa a saurin AI | Rufin da ke auna saurin ci gaba |
Dalilin da yasa Lambar da AI ta Samar ta Kasa a Takamaiman Tsarin
Kafin a fara amfani da na'urorin sarrafawa, ya kamata a fahimci dalilin da yasa lambar da aka samar da AI ta gaza ta bambanta da lambar da aka rubuta ta ɗan adam, saboda yanayin gazawar yana tantance waɗanne na'urori ne ainihin suke da mahimmanci.
Kammala tsari akan dalilan tsaro
LLMs suna samar da lambar ta hanyar hasashen ci gaba da tsare-tsare da suka gani a cikin bayanan horo. Idan wannan bayanan horon ya haɗa da miliyoyin misalai na lambar rashin tsaro, samfurin yana sake buga waɗannan tsare-tsaren cikin aminci da fahimta.
Tsarin ba yana yin tunani game da tsaro ba ne. Yana kammala tsare-tsare ne. Buƙatar "ƙara tabbatarwa zuwa wannan ƙarshen" zai samar da lambar da ke kama da tabbatarwa kuma galibi tana aiki kamar tabbatarwa, amma tana iya cire ƙarewar alamun, rasa duba izini, ko amfani da tsarin ɓoye sirri da aka daina amfani da shi, saboda waɗannan kurakurai sun zama ruwan dare a cikin bayanan horo.
Daidaiton tsari ba tare da amincin ma'ana ba
Wani bincike da kamfanin tsaro Tenzai ya gudanar a watan Disamba na 2025 ya duba aikace-aikacen samarwa guda 15 da aka gina ta amfani da manyan kayan aikin lambar AI guda biyar kuma ya gano raunin 69 a cikin samfurin. Kowane aikace-aikacen guda ɗaya bai sami kariyar CSRF ba kuma ba shi da wani katangar tsaro da aka tsara. Kowane kayan aiki ya gabatar da raunin buƙatar jabu (SSRF) na ɓangaren uwar garken, wani cikakken bincike na gazawar tsaro na asali a cikin dukkan aikace-aikacen guda 15.
Waɗannan ba layukan gefe ba ne. Waɗannan gibin tsari ne a cikin abin da kayan aikin AI suka inganta: lambar aiki, ba tsoffin sigogi masu tsaro ba.
Georgetown CSET ta gano raunin XSS daban-daban a cikin kashi 86% na samfuran lambar da aka samar ta hanyar AI waɗanda aka gwada a cikin manyan LLM guda biyar.
Ƙara fallasa sirri
AI-taimaka commits tona asirin fiye da ninki biyu na adadin mutane kawai commits Da Bayanin bincike na CSA game da tsaron lambar vibe yana sanya adadi a 3.2% don taimakon AI commits idan aka kwatanta da 1.5% ga mutane kawai, kuma GitHub na jama'a ya ga ƙaruwar 34% a cikin takardun shaidar da aka yi wa lamba mai ƙarfi a shekarar 2025.
Tsarin yana da sauƙi: masu haɓaka software waɗanda ke aiki a saurin AI sau da yawa suna manna takaddun shaida a cikin buƙatun kamar yadda aka tsara, kuma kayan aikin AI suna haɗa waɗannan takaddun shaida cikin ingantaccen fitarwa. Masu haɓakawa suna duba lambar AI a cikin gwajin sauri don tabbatar da daidaiton aiki, ba fallasa a ɓoye ba.
Kurakuran gine-gine marasa ganuwa
Kayan aikin tsaro na gargajiya sun yi fice wajen gano yanayin rauni da aka sani a cikin lambar da ba ta canzawa: allurar SQL, XSS, rashin tsaro. Suna fama da kurakuran matakin ƙira, rashin tantancewa a kan hanyar API gaba ɗaya, dabarun sarrafa damar shiga da suka karye, samfurin izini wanda ke ɗaukar kwararar jeri amma ana iya kauce masa.
Lambar da aka samar da AI tana gabatar da ƙarin kurakuran ƙira saboda kayan aikin AI suna samarwa a matakin fasali, ba matakin tsarin ba. AI ba ta da masaniya game da tsarin tsaron da ke kewaye da ita sai dai idan aka ba da takamaiman wannan mahallin, kuma yawancin masu haɓakawa ba sa tunanin samar da shi.
Yadda Ake Kare Lambobin da AI Ya Samar a Cikin Na'urarka CI/CD Pipeline
1. Yi amfani da lambar da aka samar ta hanyar AI a matsayin shigarwar da ba a amince da ita ba a SAST Layer
Mafi mahimmancin canjin aiki: kar a rage SAST rufewa saboda lambar ta fito ne daga AI. Yi akasin haka. Duk wata ƙungiya da ke da ƙwarewa sosai a fannin AI ya kamata ta yi tsammanin yawan bincikensu zai ƙaru sosai, kuma ya kamata ta tsara kayan aikinta daidai gwargwado.
A aikace wannan yana nufin kunna SAST akan kowane commit, ba kawai PR ba. Kayan aikin AI suna samar da lambar da sauri, kuma masu haɓaka commit a hankali. Jiran sake duba hulɗa da jama'a yana nufin abubuwan da aka gano suna taruwa kafin kowa ya kalle su. Hakanan yana nufin daidaitawa SAST Matakan tsanani musamman ga yanayin gazawar lambar AI: rashin tantancewa da tabbatarwa, SSRF, CSRF, rashin tsaro na cire bayanai, da takaddun shaida masu lamba, azuzuwan rauni waɗanda ba koyaushe suke da mahimmanci a cikin CVSS ba amma ana iya amfani da su akai-akai.
Babban ƙalubalen shine ƙimar tabbatacce ta ƙarya. Kayan aikin AI suna samar da lambobi da yawa cikin sauri, da kuma FPR mai yawa. SAST yana haifar da bincike da yawa har masu haɓaka haɓaka suka koyi yin watsi da su. Wannan shine ƙarfin gajiya mai faɗakarwa wanda ke kayar da manufar yin nazari gaba ɗaya.
Xygeni SAST an yi la'akari da shi azaman kimantawa Matsayin OWASP kuma ya cimma ƙimar tabbatacce 100% tare da ƙimar ƙarya 16.7%. A cikin yanayin da lambar da aka samar da AI tana ƙara yawan bincike, wannan kafincision shine abin da ke sa binciken ya zama mai aiki maimakon yin watsi da shi. Ƙara koyo game da Xygeni SAST →
2. Duba sirri akai-akai, ba wai kawai a commit lokaci
Pre-commit hooks suna da mahimmanci amma ba su isa ba. Masu haɓaka da ke amfani da kayan aikin AI a saurin sau da yawa suna wucewa hooks, yi amfani da editocin AI na yanar gizo waɗanda ba sa tallafa musu, ko kuma suna samar da sirri a cikin rubutun CI maimakon lambar aikace-aikace, inda hooks kada a taɓa jawo shi.
Cikakken yanayin tsaro na sirri don buƙatun ci gaba da taimakon AI pre-commit hooks ga masu haɓakawa waɗanda ke amfani da kayan aikin AI na gida, ci gaba da duba repo a duk rassan ciki har da cikakken tarihi commit rufewa (abubuwan sirri masu inganci daga tsoffin bayanai commithar yanzu ana iya amfani da su). pipeline Binciken rajista (rubutun CI da AI ta samar galibi sun haɗa da takardun shaida azaman masu canji da aka haɗa waɗanda ake bugawa don gina rajista), da kuma sokewa ta atomatik lokacin ganowa, saboda taga tsakanin fallasa da gano maharin galibi ana auna shi cikin awanni, ba kwanaki ba.
Xygeni Secrets Security yana gano nau'ikan sirri sama da 800 a cikin ma'ajiyar bayanai, pipeline rajistan ayyukan, IaC fayiloli, da hotunan kwantena. --history yanayin duba yana fitar da sirrin da suka tsufa a zahiri amma har yanzu suna aiki, wani gibi na gama gari a cikin ayyukan aiki da AI ke taimaka wa. Ana ɓoye sirrin kafin a yi rajista ko a aika su zuwa dandamali, don haka tsarin gano kansa ba ya haifar da sabon fallasa. Ayyukan aiki na sokewa ta atomatik suna haifar da lokacin ganowa. Karin bayani →
3. Aiwatar SCA tare da gano malware zuwa abubuwan da suka dogara da AI
Kayan aikin lambar AI ba wai kawai suna rubuta lambar ba ne, suna ba da shawarar dogaro. Mai haɓaka software wanda ke roƙon mataimaki ya "ƙara ɗakin karatu don nazarin JWT" yana samun shawarar kunshin da zai iya zama fakitin halal, fakitin rubutu mai suna iri ɗaya, ko fakitin da ya kasance halal lokacin da aka horar da samfurin amma tun daga lokacin aka yi masa lahani.
The Binciken raunin lambar da aka samar ta hanyar AI ta CSA 2025 Haka kuma yana rubuta "slopsquatting", masu kai hari suna yin rijistar sunayen fakitin da aka yi mafarkin da kayan aikin AI suka ƙirƙira, suna mai da mafarkin samfurin kai tsaye zuwa vector na harin sarkar samar da kayayyaki. Standard bisa CVE SCA bai kama ɗaya daga cikin waɗannan ba.
Abin da kuke buƙata a zahiri: gano ƙwayoyin cuta na ɗabi'a wanda ke nuna fakiti tare da rubutun shigarwa mai zargi, kiran hanyar sadarwa da ba a zata ba, ko lambar ɓoyewa; gano typosquatting da slopsquatting wanda ke nazarin cikakken jadawalin dogaro ga fakitin da aka yi wa suna da yaudara; da kuma binciken CVE mai tacewa wanda ke bambanta ayyukan da ke da rauni waɗanda a zahiri ake kira daga waɗanda aka shigo da su amma ba a taɓa aiwatar da su ba.
Xygeni SCA yana haɗa gano malware a ainihin lokaci ta hanyar Gargaɗin Farko na Malware (MEW) injin, na'urar daukar hoto ta npm, PyPI, Maven, NuGet, RubyGems da sauran rajista a lokacin bugawa, ba kawai a lokacin shigarwa ba, tare da Na'urar Duba Abubuwan da Ake Zargi wanda ke gano kuskuren rubutu, rikicewar dogaro, da kuma rubutun shigarwa mai tuhuma ta hanyar nazarin cikakken jadawalin dogaro. Duba yadda yake aiki →
4. Aiwatar da tsaro guardrails a cikin pipeline, ba wai kawai a cikin bitar lambar ba
Bitar lambar tana da jinkiri sosai kuma ba ta da daidaito sosai don zama babban tsarin tsaro na lambar da AI ta samar. Masu haɓakawa suna duba fitowar AI a ƙarƙashin matsin lamba na duba daidaiton aiki da farko. Daidaiton tsaro, idan aka duba shi kwata-kwata, shine na biyu.
Pipeline-mataki guardrails tilasta buƙatu ta atomatik: gina tubalan da ke gabatar da sabbin abubuwa masu mahimmanci SAST binciken da aka yi sama da matakin da za a iya daidaita shi, tura toshe idan an gano sabbin sirri a cikin commit, aiwatar da manufar dogaro ta hanyar toshe fakitin da suka gaza binciken malware ko kuma ba a haɗa su da ainihin tsari ba, kuma suna buƙatar SBOM samar da sabbin abubuwa waɗanda suka haɗa da lambar da ke da taimakon AI.
Babban ƙa'idar ƙira: guardrails ya kamata a toshe ko a yi gargaɗi, ba wai kawai a bayar da rahoto ba. Wani binciken da ba ya toshe komai yana koya wa masu haɓaka cewa za a iya yin watsi da binciken lafiya.
Xygeni DevAI wani matukin jirgi ne na tsaro mai aiki da kansa wanda ake samu a matsayin Tsawaita lambar VS da kuma Mai haɗa IntelliJ/JetBrains wanda ke gudana a hankali SAST Ana dubawa yayin da masu haɓaka ke rubuta lambar, yana bayyana hanyoyin amfani da hanyoyin da za a bi don gano raunin da aka gano, kuma yana ba da shawarwarin gyara da Xygeni MCP Server ta tabbatar don haɗarin, manufofi, da tasirin canjin da ke faruwa. Gano sirri, SCA, Da kuma IaC Ana duba duk suna gudana a cikin zaman IDE ɗaya. Karin bayani →
6. Kula da halayen da ba su dace ba daga kayan aikin lambar AI
Kayan aikin AI na wakili, kayan aikin da ke ɗaukar matakai masu cin gashin kansu a cikin muhallinku, ba wai kawai samar da shawarwari ba, suna gabatar da sabon yanayin barazana. Kayan aiki na lambar sirri na wakili tare da damar rubuta ma'ajiyar bayanai, pipeline hanyar shiga, ko kuma hanyar shiga sirri babban abin da za a yi la'akari da shi ne idan an yi amfani da ita wajen yin sata.
CVE-2025-54135 (CurXecute), wani rauni na aiwatar da lambar nesa a cikin editan lambar Cursor AI, ya ba da damar aiwatar da lambar ba bisa ƙa'ida ba akan injunan masu haɓakawa ba tare da hulɗar mai amfani ba, wanda aka bayyana a farkon 2026. Radar Tsaro ta Fasaha ta Georgia Tech Vibe bincike ya lura cewa saman hare-hare suna faɗaɗa cikin sauri yayin da kayan aikin AI suka zama masu cin gashin kansu.
Kula da ɗabi'a don ayyukan kayan aikin AI a cikin ku pipeline ya kamata a lura da canje-canjen da ba a zata ba CI/CD Fayilolin daidaitawar aiki (ɗaya daga cikin sigina mafi bayyanannu na kayan aikin AI da aka lalata ko harin allura cikin sauri), kayan aikin lambar AI suna aiwatar da yin buƙatun hanyar sadarwa zuwa wuraren da ba a zata ba yayin lokacin gini, tsarin samun dama ga shagunan sirri daga wuraren aiki na masu haɓakawa, da sabbin abubuwan dogaro da kayan aikin AI suka gabatar waɗanda ba su kasance a cikin gine-ginen da suka gabata ba.
| Kafa | Control | Fifiko |
|---|---|---|
| code | SAST akan kowane commit, ƙarancin tsarin FPR | M |
| code | Ra'ayoyin tsaro na IDE a cikin VS Code / IntelliJ | high |
| asirin | Pre-commit hooks + ci gaba da duba repo | M |
| asirin | Binciken tarihin Git don ingantattun sirrin gado | M |
| asirin | Sokewa ta atomatik idan aka gano | M |
| Dalilai | SCA tare da gano malware + gano slopsquatting | M |
| Dalilai | Fifikon CVE mai tacewa mai sauƙin isa | high |
| Pipeline | Gina tubalan kan sabbin abubuwan da aka gano masu mahimmanci | high |
| Pipeline | Aiwatar da manufofin dogaro a lokacin gini | high |
| Pipeline | SBOM samar da fitarwa masu taimakon AI | Medium |
| Kayan aikin wakili | Sa ido kan ɗabi'u na ayyukan kayan aikin AI | high |
| Kayan aikin wakili | Mafi ƙarancin gata ga kayan aikin lambar AI | high |
Yadda Xygeni Ke Tabbatar da Lambar da AI Ya Samar Daga Ƙarshe
Tabbatar da lambar da AI ta samar yana buƙatar kariya a duk faɗin ƙasar SDLC, tun daga lokacin da mai haɓaka ya karɓi shawara har zuwa lokacin da kayan tarihi suka kai ga samarwa. Kayan aikin maki waɗanda ke rufe shafi ɗaya kawai suna barin gibin da ci gaban saurin AI zai samu cikin aminci.
| horo | Ƙarfin Xygeni | Abin da Ya Kama |
|---|---|---|
| A cikin IDE | Sabar DevAI + MCP | Rage haɗarin kamuwa da cuta a lokacin rubuta magani, kafin amfani commit |
| At commit | SAST + Tsaron Sirri | Kurakuran lamba, takardun shaidar da aka yi wa lamba mai ƙarfi, maɓallan API da aka fallasa |
| A ginin | SCA tare da gano malware + iya isa gare shi | Abubuwan dogaro masu cutarwa ko masu rauni waɗanda aka ba da shawarar ta hanyar AI |
| In pipeline | CI/CD Tsaro + Gano Abubuwan da Ba Su Dace Ba | Gine-gine marasa aminci, sassaucin kayan aiki, hanyoyin aiki da aka allura |
| Bayan tura kayan aiki | DAST + ASPM | Tabbatar da amfani da lokacin gudu, yanayin haɗari mai haɗin kai |
Babban abin da ke bambanta su shine matakin hankali wanda ya haɗu da duk waɗannan. Sabar MCP ta Xygeni tana tabbatar da cewa shawarar gyara da DevAI ke samarwa a cikin IDE an kimanta ta don bin ƙa'idodin manufofi, karya haɗarin canji, da kuma mahallin ƙungiya kafin ta isa ga mai haɓaka. Gyaran da aka taimaka wa AI tare da guardrails, ba tare da an kashe tsaro ba.
Final Zamantakewa
Kayan aikin coding na AI suna samar da babban rabo mai girma enterprise lambar. Suna kuma gabatar da raunin tsaro ta hanyar tsari a kan tsare-tsaren da suka fi muhimmanci: rashin izini, sirrin da aka fallasa, dogaro mara tsaro, da kuma kurakuran ƙira waɗanda na'urorin daukar hoto marasa motsi ba su da su.
Amsar ba ta takaita amfani da kayan aikin AI ba ce. build security kayayyakin more rayuwa waɗanda ke daidaita da saurin haɓaka AI. Ƙungiyoyin da suka sami wannan jirgin ruwa mai taimako ta hanyar AI suna da sauri da aminci fiye da ƙungiyoyi waɗanda ke ɗaukar lambar AI kamar lambar ɗan adam tare da ƙaramin ƙimar kwari.
Ba haka bane. Kuma naka pipeline yana buƙatar sanin bambancin.
???? Fara gwajin ku na kyauta kuma duba wurin ajiyar ku na farko da aka taimaka wa AI cikin mintuna, babu buƙatar katin kiredit.
???? Rubuta demo kuma duba yadda Xygeni ke tsara takamaiman tarin ci gaban AI ɗinku.
???? Zazzage farar takarda, Tsarin Sirri na Vibe Kafin Ya Zama Babban Hadarin AI na Ƙungiyarku.
Karatun mai alaƙa:
Game da Author
Co-kafa & CTO
Fatima Said ƙwararre ne a cikin abubuwan da suka fara haɓakawa na AppSec, DevSecOps, da software supply chain securityTana mayar da siginar tsaro mai rikitarwa zuwa jagora bayyanannu, mai aiki wanda ke taimaka wa ƙungiyoyi su fifita cikin sauri, rage hayaniya, da kuma aika lambar tsaro mafi aminci.
