An AI inventory ibhuku rinoramba richivandudzwa rezvinhu zvese zveAI zvinoshanda mubhizinesi rako — mamodheru, ma endpoints anofambiswa neAI, ma datasets, vabatsiri veAI coding, maseva eMCP uye zvinoenderana neAI — pamwe chete nehukama, njodzi nevaridzi zvinovabatanidza. Mumamiriro ekuchengetedza izvi hazvina chekuita nekutarisira midziyo yekuchengetera zvinhu kana masheya; pano, "Zvinhu zveAI" zvinongoreva kuziva chaizvo kuti uri kushandisa AI ipi, kwainogara, uye kuti inogona kusvika kupi.
Sezvo AI ichipararira padanho rega rega rekugadzira software, kubva pakugadzira makodhi muIDE kusvika kune maanoshanda ega anoshanda mukati CI/CD pipelines, mubvunzo hausisiripo kana AI iripo munharaunda yako. Zviri pakuti unogona kuzviona here. Gwaro iri rinotsanangura kuti inventory yeAI chii, kuti inobatana sei ne AI-BOM uye SBOM, sei mumvuri AI rave dambudziko rekuchengetedza, uye kuti tsika iyi inosangana sei ne EU AI Act, NIST AI RMF uye ISO / IEC 42001.
Key tora kutora
- Inventory yeAI inoronga mhando dzese dzemamodheru, seti yedata, mumiririri, sevha yeMCP uye chishandiso chekunyora makodhi eAI muhupenyu hwese hwesoftware yako, kwete chete izvo zvakatenderwa neIT.
- Shadow AI, AI yakagamuchirwa pasina hutongi, ndiyo yave tsika, kwete musiyano: mune imwe ongororo ya2026 yevatungamiriri vekuchengetedza, chete 19% yemasangano akataura kuti anonyatsonzwisisa kuti AI inoshandiswa kupi uye sei.
- An AI-BOM (Bhiri reZvinhu zveAI) ndiyo mhedzisiro yakagadzirira kuongororwa yeAI inventory: mutsivi wenguva yeAI SBOM.
- Mutemo uri kusvika. Mutemo weEU AI, NIST AI RMF uye ISO/IEC 42001 zvese zvinoda kuti uzive kuti ndeipi AI yaunoshandisa.
- Kuunganidza zvinhu zviri mudura ndiyo pokutangira chete; kukosha kunobva pakuwana njodzi uye kushandisa zvinhu zvishoma zvinokosha.
Chii chinonzi inventory yeAI?
Inventory yeAI inzira yekuwana, kuodha uye kugara uchitarisa pfuma yega yega yeAI inoshanda muhupenyu hwako hwekugadzira software, uye njodzi dziripo kune imwe neimwe. Inventory yakazara inopindura mibvunzo mitatu yepfuma yega yega: chii, inoendepi, uye chii chainogona kuwana?
Chiyero ichocho chakakura kupfuura zvinotarisirwa nemapoka mazhinji. Chinyorwa cheAI chine musoro chinofanira kufukidza:
- Models: modhi yega yega yemutauro mukuru uye modhi yenheyo inoshandiswa mukugadzira nekugadzira, neshanduro, nzvimbo uye chivimbo chekuwana.
- Datasets: ruzivo rwekudzidzisa, madata ekudzosa uye matura evector, kusanganisira kusangana nemamiriro ezvinhu ane chepfu uye kubuda kwedata.
- Agents: masisitimu anozvitonga ega anoita zvinhu munharaunda yako, zvakaita sekuvhura pull requests, kuisa zvinhu zvinoenderana nezvinodiwa, kana kubata zvivakwa.
- MCP maseva: Model Context Protocol maseva anobatanidza vabatsiri veAI kune zvishandiso zvekunze, maAPI uye masosi edata.
- Zvishandiso zvekunyora makodhi eAI nevabatsiri: makopi emakombiyuta uye kubatanidzwa kweIDE kunogadzira kodhi, ratidza zvinoenderana uye taurirana nemabhuku ekuchengetedza.
- AI maitiro: LangChain, LangGraph, maseva evamiririri uye mamwe ma layers e orchestration anoisa mamodheru kumidziyo nedata.
- Hukama huripo pakati pezvinhu: kubatana kuripo pakati pemamodheru, vamiririri, maseva, madataseti nezvakavanzika zvakabatana nazvo. Girafu yehukama inoita kuti njodzi ionekwe mumamiriro ezvinhu, kwete serunyorwa rwakatsetseka.
Zvinhu zviri muAI zvichienzaniswa nezvinhu zviri muAI zvichienzaniswa neAI-BOM, uye kuti zvakasiyana sei nezviri muAI SBOM
Mashoko aya anoshandiswa zvisina tsarukano, saka zvinobatsira kuva nepfungwa yekuticise. "Inventory yeAI" uye "Inventory yeAI midziyo" zvinotsanangura chinhu chimwe chete: katarogu yemidziyo yeAI iri kurarama uye njodzi dzayo. AI-BOM chinhu chinotengeswa kunze kwenyika chinogadzirwa nezvinhu zviri mudura: gwaro rezvinhu zvinoverengwa nemuchina raunogona kupa kumuongorori wemabhuku kana enterprise buyer.
Nzira yakachena yekunzwisisa AI-BOM ndeyekufananidza ne SBOM:
| SBOM | AI-BOM | |
|---|---|---|
| Catalogs | Kuvimba nesoftware yevamwe vanhu vakavhurika uye software yevamwe vanhu | Zvinhu zvakanangana neAI: models, datasets, agents, MCP servers, AI coding tools |
| Hwaro hwenjodzi | Kuomarara kweCVE | Mavector ekurwisa eAI chaiwo (kubaiwa jekiseni nekukurumidza, MCP isina kuchengetedzeka, kunyanyisa kurongeka) pamwe nekuwanikwa kwedata kubva pariri uye kuwanikwa kwaro. |
| Mutyairi wekutanga | Kujeka kwecheni yekugovera | Kutonga kweAI, kuchengetedzeka uye kutevedzera mitemo |
Sezvo AI ichiramba ichibatanidzwa mu SDLC, AI-BOM iri kuva hwaro hwakasimba se SBOM, uye vatungamiriri vekuchengetedza vari kuramba vachigamuchira zvikumbiro kubva kuvaongorori uye enterprise mapoka ekutenga zvinhu zvechigadzirwa ichi.
Nei zvinhu zveAI zvichikosha iye zvino
Masimba matatu achinja zvinhu zveAI kubva pakuva zvinhu zvakanaka kuita zvinhu zvinokosha.
- Chekutanga, AI iri kunyora kodhi isina kuchengetedzeka pachiyero. Ongororo yakazvimirira inogara ichiratidza kuti chikamu chikuru chemakodhi akagadzirwa neAI ane hurema. Chidzidzo chekutanga cheNYU/Copilot chakaitwa naPearce et al. chakawana kuti panenge paine hurema. 40% yemapurogiramu akagadzirwa aive nekushomeka kwekuchengetedza, uye dzimwe nzvimbo dzekuyedza dzakakura dzechangobva kuitika nenzira imwecheteyo: Ongororo yaVeracode ya2025 pamamodeli anopfuura zana yakawanikwa chete 55% yekodhi yakagadzirwa neAI yaive yakachengetekaKana usingazive kuti ndevapi vabatsiri vari kugadzira kodhi mune yako pipelines, haugone kutonga njodzi iyoyo.
- Chechipiri, cheni yekupa software yave nzvimbo yekurwiswa kweAI. Muna September 2025, Shai Hulud, honye yekutanga ye npm inobereka yoga, yakachinja michina yekugadzira zvinhu kuita nzira yekuparadzira, ichipararira mumapakeji akawanda. Muna Kurume 2026, varwisi vakabvuma. axios, pasuru ine zvinhu zvishoma Kudhawunirodha mamiriyoni zana pasvondo, vachiburitsa mavhezheni ane chepfu akadonhedza trojan iri kure. Kurwiswa kwakadai kunowira pakati peAppSec yechinyakare nemidziyo yekushandisa endpoint: jira iro inventory yeAI yakavakirwa kujekesa.
- Chechitatu, zvakavanzika uye zvitupa zviri kubuda kuburikidza neAI. Bhuku raGitGuardian rinonzi State of Secrets Sprawl 2026 rakashuma kuti kubuda kwezvakavanzika zveAI-service kwakawedzera ne81% gore negore, uye kuti yakabatsirwa neAI commits leak secrets pamutengo wepakati pekutanga. Mhando yega yega isina kunyorwa, mumiririri kana sevha yeMCP inzira inogona kusvika kuchiratidzo.
AppSec yechinyakare inomira panzvimbo yekuchengetedza uye hainzwisisi kuti modhi chii. Maturusi eEndpoint anotarisa operating system asi haanzwisisi mapakeji, maMCP servers kana vabatsiri veAI. Mukana uri pakati pavo ndipo panoungana njodzi yeAI, uye inventory ndiyo nhanho yekutanga yekuivhara.
Kwakavanda AI: Mvuri AI mhiri kwe SDLC
Shadow AI chero sisitimu yeAI yakagamuchirwa isina mvumo yepamutemo kana hutongi: mutyairi wekombiyuta akabvumira mugadziri svondo rapfuura, sevha yeMCP ichishanda palaptop, modhi yakatorwa zvakananga kubva pahub yeruzhinji ichienda kupurojekiti yedivi. Haisi nyaya yemuganho. Muongororo ya2026 yevatungamiriri vekuchengetedza vanodarika mazana mana, chete 19% vakataura kuti vanonyatsonzwisisa kuti AI inoshandiswa kupi uye sei. mumasangano avo ese, nepo ruzhinji rwacho rwaitoshandisa kana kuedza vabatsiri veAI coding.
Mumvuri weAI wakaoma kuwana iAI iri mukati mehupenyu hwesoftware, nekuti haiwanzoonekwa mu cloud console:
- MaModels nemaraibhurari eAI akadhonzwa munzvimbo dzekuchengetera zvinhu sezvinhu zvinoenderana nazvo.
- Vabatsiri vekunyora makodhi eAI vakagadzirirwa mugadziri wega wega, paIDE imwe neimwe.
- Mafaira eMCP maseva nemarule ari kushanda munharaunda pamagumo evagadziri.
- Mafambiro ebasa eAgent anovhurwa chinyararire pull requests kana kuisa mapakeji.
Ndosaka kuwanikwa kwezvinhu zve "cloud-only" kusina kukwana. Kuwana ruzivo rwakakwana rweAI kunofanirwa kusvika pakodhi uye kuvaka nzvimbo (laptop yemugadziri, nzvimbo yekuchengetedza, uye pipeline), kwete gore rekugadzira chete.
Chii chinofanira kunge chiri muAI-BOM
AI-BOM yakagadzirira kuongororwa inoshandura zvinhu zvako kuita chimwe chinhu chaunogona kuratidza. Pamwe chete, inofanira kusanganisira:
- Chinhu chega chega cheAI: mamodheru, maseti edata, vamiririri, maseva eMCP, maturusi ekunyora makodhi eAI.
- Rudzi rwechinhu, nzvimbo uye chivimbo chekuona chimwe nechimwe.
- Kubva uye kutsamira (kwakabva modhi kana chikamu chacho).
- Njodzi pachinhu chimwe nechimwe, zvichibva pazviratidzo zvekurwisa zvakanangana neAI.
- Kurongeka kwemitemo yeEU AI Act, NIST AI RMF uye ISO/IEC 42001.
- Fomati inotumirwa kunze kwenyika, inoverengwa nemuchina kune vanoongorora mabhuku nevatengi.
Masangano anogona kugadzira AI-BOM kana adikanwa achava nerubatsiro rwechokwadi rwekutevedzera mitemo uye kuvimba sezvo zvisungo zveAI zvekuongorora zvinosvika pakukura.
Zvinhu zviri muAI uye kutevedzera mitemo: EU AI Act, NIST AI RMF uye ISO/IEC 42001
Hapana kana imwe yehurongwa hukuru hunoti "AI inventory" chinhu chemutsetse, asi chimwe nechimwe hachigoneke kugutsa pasina iyo. Haugone kunyora, kupatsanura kana kutonga masisitimu eAI ausingakwanise kuona.
| Framework | Nei zvinhu zviri mudura zvichidikanwa |
|---|---|
| EU AI Act | Masisitimu ane njodzi huru ane mabasa ekunyora nekunyora, uye Article 50 zvinounza zvisungo zvekujekesa. Kuzvizadzisa kunoda kuziva kuti ndeapi masisitimu eAI aunomhanyisa uye kuti anorongwa sei. |
| NIST AI RMF | The Map basa uye Govern 1.6 kuda kuti zvinhu zviri mudura zviitwe uye kugadzira mapu eAI systems sehwaro hwekugadzirisa njodzi dzazvo. |
| ISO / IEC 42001 | Sisitimu yekutarisira AI standard zvinoda kuchengetedza runyorwa rwemasisitimu eAI senzira huru yekudzora. |
Chinyorwa pamusoro penguva: kutangwa kweEU AI Act kwakagadziriswazve nechibvumirano che "Digital Omnibus" chaMay 2026, icho chakasundira mberi zvisungo zvakawanda zvine njodzi huru kusvika muna Zvita 2027, ukuwo zvichiramba zvibodzwa zvakawanda zvemusi wa2 Nyamavhuvhu 2026 zviripo (mabasa ekujekesa, masimba echirango cheGPAI). Tora mazuva chaiwo sechinangwa chinotama uye simbisa uchienzanisa nemasosi makuru eEU. Asi gwara rekufamba rakajeka, uye zvinhu zviri mudura ndizvo zvinodiwa kuti zvese zviitike.
Maitiro ekugadzira nekuchengetedza inventory yeAI
Kugadzira zvinhu zviri mudura hakungoiti ongororo imwe chete asi kuti kuve nehurongwa hunoramba huchienderera mberi, nekuti zvinhu zveAI zvinogara zvichichinja: mamodheru matsva anoshandiswa, vamiririri vatsva vakatumirwa, maseva matsva eMCP akagadzirwa, kazhinji pasina mvumo.
Maitiro anoshanda:
- Tsvaga otomatiki kuburikidza nekodhi, kuvaka uye gore. Maspredishiti ekushandisa nemaoko anopera mukati memazuva mashoma. Discovery inofanira kuramba ichienderera mberi uye kusvika mukati SDLC, kwete nguva yekumhanya chete.
- Ronga uye ronga hukama. Rudzi rwezvinyorwa, nzvimbo, kwakabva uye, zvakanyanya, kuti pfuma yega yega inobatana sei nezvimwe uye nezvakavanzika.
- Njodzi yekuongorora mapoinzi mumashoko acho. Rondedzero yakatsetseka yemazana ezvakawanikwa haibatsiri munhu; inotarisa zviri nyore, zvinogona kushandiswa uye zvakakosha mubhizinesi.
- Ipa muridzi. Chinhu chega chega chinoda muridzi anozvidavirira.
- Rambai muchirarama uye muchikwanisa kutumirwa kune dzimwe nyika. Rambai muchigadzira zvinhu zvinogara zvichishandiswa zvinogona kugadzira AI-BOM kana zvichidikanwa.
Zvekutsvaga musoftware yeAI inventory
Kana uri kuongorora maturusi, aya ndiwo hunyanzvi hunoparadzanisa software chaiyo yeAI kubva pane rondedzero isingachinji:
- Anonzwisisa mhando dzezvinhu zveAI zvakanangana (mamodheru, vamiririri, maseva eMCP, maseti edata), kwete mapakeji nemaraibhurari chete.
- Inosvika mu SDLC, kuwana AI mukodhi uye pama endpoints evagadziri, kwete mugore chete.
- Hukama hwemamepu, kwete zvinhu zvemunhu mumwe chete, saka njodzi inoonekwa mumamiriro ezvinhu.
- Njodzi yekuona zviratidzo pahutachiona hweAI hwakasiyana (kubaiwa jekiseni nekukurumidza, kusachengeteka kweMCP, kusazvibata zvakanyanya), kwete kungorwara neCVE zvakanyanya chete.
- Inomhanya nguva dzose, kubata AI itsva sezvainoonekwa.
- Inogadzira AI-BOM yakagadzirira kuongororwa zvinogutsa vese vaongorori vemabhuku uye enterprise procurement.
- Inobatanidza zvinhu zviri mudura nekutevedzera mitemo, saka unogona kuita chimwe chinhu pane zvaunowana.
Kubva pane zviri mudura kuenda pane zvinoitwa: kuchengetedza zvaunowana
Kuwana ruzivo ndicho nhanho yekutanga; chechipiri kunzwisisa kuti ndeapi midziyo ine njodzi chaiyo, nekuti mizhinji yacho haingadaro. Chinangwa ndechekuchinja kubva pazviuru zvezvakawanikwa zvisina kurongwa kuenda kune zvishoma zvinogona kukanganisa masisitimu, data kana mashandiro: izvo zviri kushandiswa, zvinogamuchira zvinhu zvisina kuvimbika, zvinogona kushandiswa zviri nyore, zvine mukana wekuwana ruzivo rwakakosha, uye zvinokanganisa kugadzirwa kana midziyo inodzorwa.
Apa ndipo panowanikwa manejimendi ekuchengetedza mamiriro eAI (AI Security Posture Management).AI-SPM) kutora zvinhu: kutora zvinhu zviri mudura, kuwana njodzi munzira yekurwiswa kweAI, kuibatanidza nemutemo, uye kugadzira AI-BOM. Ndipowo panotevedzwa mitemo yezvinhu: kudzivirira zvinhu zvine njodzi zvisati zvaiswa, kuramba maseva nemamodheru eMCP asina kutenderwa, uye kuva nemagumo akakanganisika chiitiko chisati chapararira.
At Xygeni, iyi ndiyo modhi yatinogadzira: inventory yeAI inoenderera mberi uye AI-BOM kuburikidza neAI-SPM, kuongororwa kwemalware inobata mapakeji ane hukasha asati asaina (MEW, Yambiro Yekutanga YeMalware), uye kusimbiswa kwemitemo panzvimbo yekugadzira kuburikidza neXygeni Shield. Kuona kwakabatana neOWASP Top 10 yeLLM Applications, OWASP Top 10 yeAgenic Apps uye OWASP MCP Top 10. Asi chero nzira yaunosarudza, musimboti unoshanda: Haugone kuchengetedza zvausingakwanise kuona, uye zvakanyorwa neAI ndipo panotangira kuonekwa.
FAQs
Ko AI-BOM yakasiyana sei neAI-BOM SBOM?
An SBOM macatalog anotsanangura mashandisirwo esoftware kubva kune vamwe vanhu, zvichibva pahuwandu hweCVE. AI-BOM inotsanangura mashandisirwo eAI (mamodheru, vamiririri, maseva eMCP, madatasets) neAI-specific risk scoring uye regulatory mapping. Sezvo AI ichipararira mudunhu rese. SDLC, AI-BOM iri kuva hwaro hwakasimba se SBOM.
Chii chinonzi mumvuri AI uye ndingaiwana sei?
Shadow AI chero ipi zvayo AI inotorwa isina mvumo yepamutemo kana hutongi: mubatsiri wepaipilot, sevha yeMCP yemuno, modhi yakatorwa kubva pahubhu yeruzhinji. Unoiwana nehurongwa hwezvinhu hunogara huchiitwa otomatiki hunosvika mukodhi, kuvaka pipelines uye ma endpoints evagadziri, kwete chete gore rekugadzira uko mumvuri weAI usingamboonekwi.
Mutemo weEU AI unoda here kuti pave neAI inventory?
Mutemo weEU AI hautauri pachena kuti "AI inventory", asi magwaro ayo, kupatsanura uye mabasa ekunyoresa masisitimu ane njodzi huru hazvigoneke kuzadzikiswa pasina. Izvi ndizvo zvakafanana neNIST AI RMF (Mep function, Govern 1.6) uye ISO/IEC 42001, iyo inoda kuti pave neinventory yemasisitimu eAI.
Chii chinonzi AI-SPM?
Kutarisira Mamiriro Ekuchengetedza eAI (AI-SPM) inzira yekugara uchiwana midziyo yeAI, uchiongorora njodzi dzayo munzira yekurwiswa kweAI, uchiibatanidza nemutemo, uye uchigadzira AI-BOM. Inowedzera kufunga nezvekutarisira mamiriro (kwakajairika kubva kuCSPM neDSPM) kune midziyo chaiyo yeAI uye mavector ekurwisa.
Kangani kaini keAI inventory kanofanira kugadziriswa?
Nguva dzose. Zvinhu zveAI zvinochinja zuva nezuva sezvo mapoka achitora mamodheru matsva, achiisa vamiririri vatsva uye achigadzira maseva matsva eMCP, kazhinji pasina mvumo yepamutemo. Kuongorora nguva nenguva kunononoka mukati memazuva, saka software inoshanda yeAI inventory inoshanda senzira inoenderera mberi kwete yekuongorora kamwe chete.
Ndingashandisa sei AI yemu inventory mu source code?
Kunyora AI mukodhi zvinoreva kuona mamodheru eAI nemaraibhurari akaiswa mukati sema dependencies, ma AI coding assistants akagadzirirwa mugadziri wega wega, uye ma MCP servers kana mafaira ekutonga ari kushanda munharaunda. Izvi zvinoda kuwanikwa kunoshanda mukati me SDLC (nzvimbo dzekuchengetera zvinhu, kuvaka pipelines uye ma endpoints evagadziri) kwete muma cloud consoles chete.




