Ifayela lekhono, ifayela lemithetho, ukulungiselelwa kwe-MCP. Umbhalo ocacile, commitIdokhumenti ehlanganisiwe, ibuyekezwe njengedokhumenti, futhi ibhala kabusha buthule lokho i-AI yakho evunyelwe ukukwenza. I-Xygeni ithola amakhono anonya, izinkomba ezinobuthi kanye nemingcele ye-ejenti engaphephile ama-code scanner akho angakaze akhelwe ukuyifuna.
Ukufinyelela kokufunda kuphela · Ukuskena kusebenza engqalasizinda yakho · Ikhodi yakho ayilayishwa
Thola ama-ejenti e-AI, izixwayiso, kanye nokucushwa kwe-MCP kuyo yonke i-codebase yakho, thola izingozi ezifihliwe, bese ubeka phambili izinkinga ezibalulekile ngaphambi kokuba zifinyelele ekukhiqizweni.
Ukutholwa okuqhubekayo, okuzenzakalelayo kuzo zonke izindawo zakho zokugcina: amamodeli, izinhlaka, amasethi edatha, ama-endpoints okuphetha, ama-ejenti, amaseva e-MCP, amakhono, izikhuthazo, guardrails, kanye namathuluzi okubhala ikhodi ye-AI abathuthukisi bakho abawasebenzisayo ngempela. Azikho izinhlolovo, azikho imibiko yokuzibika.
Isikena se-AI esizinikele sithola ukwehluleka okuqondene nezinhlelo ze-AI: ukujova okusheshayo, ukujova ngamathuluzi, ukuvuza kwedatha ngokubuyisa, ukudlula okusheshayo kwesistimu, ukuhleleka ngokweqile. Ukuthola ngakunye kuqondiswe kuzinhlaka zokuphepha ze-AI ithimba lakho elizisebenzisayo kakade, futhi kukhomba emgqeni oqondile wekhodi odala ukuvezwa.
I-funnel yokubeka phambili inciphisa yonke i-AI yokuthola kuya kulokho okungafinyeleleka kukhodi yohlelo lokusebenza, okusebenziseka ngempela, kanye nekhodi amaqembu akho ayisebenzisayo ngenkuthalo. Amaqembu asebenza ngemiphumela embalwa ebalulekile.
Kusukela ku-Shadow AI kuya ku-Inventorygk elungele ukuhlolwa
Bona ingqikithi ye-AI yakho nokuthi ingakanani ephethe ingozi, ilandelwe ngokubheka isisekelo ukuze wazi ukuthi ukuchayeka kwakho kuyakhula yini. Impahla ngayinye inesilinganiso sayo sengozi, umhlinzeki wayo, uhlobo lwayo, kanye nendawo yayo ngqo kukhodi yakho.
Impahla ye-AI ehlukanisiwe ikutshela okuncane. Igrafu ikhombisa ubudlelwano obuphethe ingozi: iyiphi imodeli yokuphakelwa kwesethi yedatha, iyiphi i-ejenti ebiza ukuthi iyiphi ithuluzi, iyiphi iseva ye-MCP ehlala ngemuva komsizi, nokuthi ingozi igxila kuphi kulolo chungechunge. Hlunga ngesigaba sempahla, uhlobo, ubudlelwano, noma izinga lengozi.
Thumela ibhili yezinto ezifundwa ngomshini ze-AI yakho, ezikhiqizwe ngokutholwa okufanayo okuqhubekayo okunika amandla isitokwe. Lapho umhloli wezincwadi, ikhasimende, noma umlawuli ebuza ukuthi usebenzisa yiphi i-AI, impendulo iwukulanda, hhayi i-exer yesandla yamasonto amathathucise.
Amafayela amakhono, amafayela emithetho kanye nokulungiselelwa kwe-MCP commitIbhalwe njengombhalo ocacile futhi ibuyekezwe sengathi ayinangozi, kodwa ichaza lokho umsizi ayalwa ukuba akwenze nokuthi yini evunyelwe ukuyifinyelela. I-Xygeni iyazihlaziya njengezinto zokuphepha: imaka amakhono anonya futhi ilawule amafayela, ihlola ukucushwa kweseva ye-MCP, futhi iveze izinkomba eziqhuba umthwalo wakho womsebenzi we-AI.
Isithwebuli se-AI sika-Xygeni sithola izindlela zokwehluleka eziqondene ngqo nezinhlelo ze-AI futhi ezingabonakali ekuhlaziyweni kwekhodi okuvamile: ukuphathwa kabi kokusetshenziswa kwamathuluzi, ukutholwa okungagunyaziwe kwamadokhumenti abucayi ngesitolo se-vector, ukudlula ngokushesha kwesistimu, ukuqhekeka kwejele ngokufaka okwenziwe ngobuciko, ukunxusa kwamathuluzi okungathembekile.
Konke okutholakele kwe-AI kuphethe ireferensi yohlaka, impahla ye-AI ethintekile kanye nethuluzi, ukuthi ukudalulwa sekuvuliwe isikhathi esingakanani, ifayela kanye nomugqa oqondile, incazelo yokuthi kungani kubalulekile, kanye nokunciphisa okuhlukaniswe kube yizilawuli ezijwayelekile kanye nesiqondiso esithile kulokho okutholakele. Akusona isexwayiso. Isixazululo.
Ukuhlunga okuqhubekayo kusukela kukho konke okutholakele kuye kulokho okusekhodini yesicelo, bese kuba yilokho okungasetshenziswa, bese kuba yilokho okusathuthukiswayo. Uhlu olufika eqenjini lakho luluhlu olusongela ukukhiqizwa.
Isithombe se-AI esithembekile esinobungozi sidinga okungaphezu kwe-inventory yemodeli, futhi i-Xygeni isivele isebenzisa izinjini ezisiqedelayo:
Izihluthulelo ze-API zabahlinzeki be-AI ziyizimfihlo njenganoma yiziphi ezinye, futhi ukutholwa kwezimfihlo ze-Xygeni kuzithola kuzo zonke izindawo zakho zokugcina, amafayela okucushwa kanye pipelines, ngaphambi kokuba zifike kurejista yomphakathi noma kulogi yokwakha.
I-AI stack yakhelwe phezu kwamaphakheji ajwayelekile, futhi amaphakheji ajwayelekile aphethe ama-CVE. Ukuhlaziywa kokwakheka kwesofthiwe ye-Xygeni kuveza ubuthakathaka obaziwayo emitatsheni ye-AI kanye ne-ML izinhlelo zakho zokusebenza ezithembele kuyo, endaweni efanayo nempahla ye-AI eyisebenzisayo.
Ama-AI stack adonsa ukuncika ngokushesha futhi emithonjeni eminingi. Ukutholwa kwe-malware kwe-Xygeni kubamba amaphakheji anonya amathuluzi asekelwe edumeleni asawathemba, ngaphandle kokulinda i-CVE noma iseluleko somphakathi.
Ipulatifomu eyodwa, ngakho umbuzo we-AI uthola impendulo ephelele esikhundleni sempendulo emithathu engaphelele evela kumathuluzi amathathu ahlukene.
Bona indawo yokuhlasela kwe-AI amathuluzi akho okuphepha akhona angakwazi ukuyiphatha, bese uyiphatha kanye nazo zonke ezinye izingozi zohlelo lokusebenza.
Ukuhlaziywa kwakho okumile akwazi ukuthi imodeli iyini. Ukuhlaziywa kwakho kokwakheka akubonisi amaseva e-MCP. Lokhu akulona iphutha kulawo mathuluzi, aklanyelwe inkinga ehlukile. I-Xygeni ifaka izimpahla ze-AI, ihlaziya ukucushwa kwe-MCP, imaka amakhono anonya kanye namafayela okulawula, futhi yakha i-AI-BOM yakho.
Okutholakele kwe-AI kufana nekhodi yakho, ukuncika, imfihlo, pipeline kanye nokutholakele kwe-API, kukhonsoli eyodwa enemodeli eyodwa yokubeka phambili. I-AI iyindawo entsha yokuhlasela, akuyona imbangela yethuluzi elisha elinelalo login.
I-Xygeni ihambisana nezinhlaka ezilawula i-AI kusofthiwe: i-OWASP Top 10 yezinhlelo zokusebenza ze-LLM, ye-MCP kanye ne-Agenic Skills, i-NIST SP 800-218A, kanye ne- CISIsiqondiso se-A kanye ne-G7 ku-Software Bill of Materials ye-AI. Sikhiqiza ubufakazi obusiza ekuboniseni ukuthi lezo zinhlaka ziyasetshenziswa, futhi sisekela okulindelwe kokuqoqwa kanye nokulandeleka okubekwa yimithetho efana ne-EU AI Act, i-NIS2 kanye ne-ENS yaseSpain ezinhlanganweni.
Isiqondiso sisethiwe: SBOM iyanda iye ku-AI-BOM. Awukwazi ukufakazela lokho ongakakubhali.
Amamodeli, uhlaka lwe-AI, amasethi edatha, amaphuzu okugcina okucabanga, ama-ejenti namaseva e-ejenti, amaseva e-MCP, amakhono, izikhuthazo, guardrails, kanye namathuluzi okubhala ikhodi ye-AI asetshenziswa kuzo zonke izindawo zakho zokugcina.
Ngokuhlaziya ama-repository akho ngokuqhubekayo: ikhodi, ukuncika, kanye namafayela okucushwa ashiywa ngamathuluzi e-AI. Akukho okuncike kubathuthukisi abazibika bona ngokwabo lokho abakusebenzisayo.
I-AI Bill of Materials iyiqoqo lezinto ze-AI elingafundwa ngomshini kusofthiwe yakho: amamodeli, amasethi edatha, izingxenye, abahlinzeki kanye nokuncika. standardImizimba yabo ihlangana kuyo njengesisekelo sobufakazi bokuphathwa kwe-AI, futhi awukwazi ukufakazela lokho ongakakubhali.
Izindlela zokuhluleka ezithile ze-AI ezifaka phakathi ukujova okusheshayo kanye nokudlula ngokushesha kwesistimu, ukujova ngamathuluzi kanye nokucela ithuluzi elingathembekile, ukuvuza kwedatha ngokubuyisa, kanye nokuhleleka ngokweqile, okuqondiswe ku-OWASP Top 10 yezinhlelo zokusebenza ze-LLM.
Yebo. Konke okutholakele kukhomba ifayela nomugqa, kuchaza ukuthi kungani kubalulekile, futhi kunikeza ukunciphisa kokubili njengezilawuli ezijwayelekile kanye nesiqondiso esiqondile kulokho okutholakele.
Lawo mathuluzi ahlaziya ikhodi kanye nokuncika. Awakhiphi imodeli yokuthi iyini i-ejenti ye-AI, ukuthi iseva ye-MCP iveza ini, noma ukuthi ifayela lekhono lifundisa umsizi ukuthi enzeni. I-Xygeni ingeza leso sendlalelo futhi iyigcine endaweni efanayo nezinye izinto ozitholile.
Yebo. Isitokwe silandelana ngokuqhathanisa nesisekelo, ukuze ubone ukuthi i-AI yethulwe, yashintshwa noma yasuswa yini phakathi kokuskena.
Qala mahhala, noma hlela idemo bese sizohamba nawe endaweni yakho yokuhlasela ye-AI.
nge-Xygeni All-In-One AppSec Platform
