Iingozi zoKhuseleko lwe-AI: Oko Amaqela e-DevSecOps amele akwazi ukuze akhusele iinkqubo ze-AI
Iingozi zokhuseleko lwe-AI azisekho kuphela kwindlela yokuziphatha kwemodeli okanye ubumfihlo bedatha. Namhlanje, zikwachaphazela nendlela isoftware ebhalwa ngayo, ehlolwayo, eyakhiwe ngayo, nethunyelwa ngayo. Njengoko izixhobo zokubhala iikhowudi ze-AI, iinkqubo ze-AI ezisesikweni, kunye nemisebenzi yokusebenza eqhutywa yi-AI ingena SDLCAmaqela eDevSecOps ajongene nohlobo olutsha lomngcipheko: ikhowudi ekhawulezayo, ukuzenzekelayo okukhawulezayo, kunye neempazamo ezikhawulezayo.
Nangona kunjalo, oku akuthethi ukuba amaqela afanele acothise ukwamkelwa kwe-AI. Endaweni yoko, afuna ulawulo lokhuseleko oluhambelana nesantya sophuhliso oluncediswa yi-AI. Kule khokelo, sichaza iingozi zokhuseleko ze-AI ezibaluleke kakhulu, indlela ezibonakala ngayo kwimisebenzi yobunjineli bokwenyani, kunye nendlela amaqela anokunciphisa ngayo ukuvezwa kwikhowudi, ukuxhomekeka, iimfihlo, pipelines, kunye neearhente.
Ukuze ufumane umbono obanzi wendlela i-AI etshintsha ngayo imeko yosongelo, jonga isikhokelo sethu ku Ukhuseleko lwe-intanethi lwe-AI.
Zithini iingozi zoKhuseleko lwe-AI?
Iingozi zokhuseleko lwe-AI bubuthathaka, izoyikiso, okanye iindlela zokungaphumeleli ezivela xa ubukrelekrele bokwenziwa buyilwe, buqeqeshwa, budityaniswe, okanye busetyenziswa ngaphakathi kwiinkqubo zokwenyani. Ezi ngozi zinokuchaphazela iimodeli, idatha, izindululo, ii-API, ikhowudi, pipelines, kunye nezixhobo ezizidibanisayo.
The Isikhokelo se-NCSC malunga ne-AI kunye nokhuseleko lwe-cyber ichaza ukuba ukhuseleko lwe-intanethi yimfuneko ephambili kwiinkqubo ze-AI ezikhuselekileyo nezithembekileyo. Ngokufanayo, Isakhelo soLawulo loMngcipheko se-NIST AI inika imibutho isakhiwo sokulawula umngcipheko we-AI ngolawulo, ukulinganisa, kunye nolawulo olusebenzayo.
Kumaqela eDevSecOps, ingxaki icacile ngakumbi. I-AI ngoku iyinxalenye yechungechunge lokuhanjiswa kwesoftware. Ibhala ikhowudi, icebisa ukuxhomekeka, ivelise uqwalaselo, ibiza ii-API, kwaye ngamanye amaxesha isebenza ngokuzimela. Ngenxa yoko, iingozi zokhuseleko lwe-AI kufuneka ziphathwe ngaphakathi SDLC, kungekuphela nje kwi-model layer.
Kutheni iingozi zoKhuseleko lwe-AI zahlukile ngoku?
Iingozi zemveli zokhuseleko lwe-intanethi zihlala zivela kwikhowudi ebhalwe ngabantu, iipakethe ezibuthathaka, iziqinisekiso ezibuthathaka, okanye iziseko zophuhliso ezingacwangciswanga kakuhle. Ezo ngozi zisekho. Nangona kunjalo, i-AI iyatshintsha indlela ezibonakala zikhawuleza ngayo kunye nendlela ekunzima ngayo ukuzifumana.
Ikhowudi eyenziwe yi-AI ingabonakala ichanekile kodwa isaphoswa kukuhlolwa kokugunyaziswa. Umncedisi wekhowudi ye-AI angacebisa iphakheji ebuthathaka. Umsebenzi we-arhente unokubiza isixhobo esingalunganga, afikelele kwifayile engalunganga, okanye atyhile imfihlo kwilog. Ukongeza, iinkqubo ze-AI zihlala zixhomekeke kumxholo, izindululo, izihlanganisi, kunye nezixhobo zangaphandle, nto leyo edala iindawo ezininzi apho ukhuseleko lunokungaphumeleli khona.
The I-OWASP Top 10 kwizicelo ze-LLM Igxininisa iingozi ezifana nokufakwa ngokukhawuleza, ukutyhilwa kolwazi oluyimfihlo, imiba yenkqubo yokubonelela, kunye nokuqeshwa okugqithisileyo. Ezi ndidi ziluncedo kuba zidibanisa indlela yokuziphatha kwe-AI neengxaki zokhuseleko lwesicelo sokwenyani.
Ngamanye amazwi, iingozi zokhuseleko lwe-AI azikho malunga nemodeli kuphela, kodwa zimalunga nenkqubo epheleleyo ejikeleze imodeli.
Iingozi zoKhuseleko lwe-AI eziphambili kumaqela e-DevSecOps
Apha ngezantsi kukho iingozi ezibaluleke kakhulu xa kusetyenziswa i-AI ngaphakathi kophuhliso, i-AppSec, kunye CI/CD usebenza.
1. Ubuthathaka beKhowudi eveliswe yi-AI
Izixhobo zokubhala ikhowudi ze-AI zinokuvelisa ikhowudi esebenzayo kodwa engakhuselekanga. Umzekelo, zinokwenza imibuzo ye-SQL ngaphandle kokwenza iparameteri ngendlela efanelekileyo, zitsibe ukuqinisekiswa kokufaka, okanye zisebenzise i-weak authentication logic.
Oku kwenzeka kuba iinkqubo ezininzi ze-AI zivelisa iipateni zekhowudi ezinokwenzeka ngokusekelwe kwidatha yoqeqesho. Nangona kunjalo, ikhowudi enokwenzeka ayisoloko ikhowudi ekhuselekileyo. Enyanisweni, imodeli inokuphinda ivelise imizekelo engakhuselekanga kuba ixhaphakile kwiindawo zokugcina ulwazi zikawonke-wonke.
Imizekelo eqhelekileyo ibandakanya:
- Inaliti ye-SQL
- Isikripthi esinqamlezayo
- Ukuhlolwa kwemvume okungekhoyo
- Ukuphathwa kweseshoni ebuthathaka
- Ukususwa kwezinto kwi-serial okungakhuselekanga
- Ukhuseleko lwe-CSRF olungekhoyo
Ke ngoko, ikhowudi eyenziwe yi-AI kufuneka ithathwe njengengathembekanga ide idlule SAST, ukuhlolwa kwemigaqo-nkqubo, kunye nokuhlolwa kwakhona.
Ingcebiso yangaphakathi yekhonkco: qhagamshela eli candelo kwisithuba sakho kwi AI SAST.
2. Iingozi zoThengiso kunye nokuxhomekeka
Izixhobo ze-AI azivelisi nje ikhowudi kuphela. Zikwacebisa iipakeji, iinguqulelo, izikripthi, kunye nemiyalelo yokufakela. Oku kudala indlela ethe ngqo ukusuka kwiingcebiso ze-AI ukuya kumngcipheko wobonelelo lwesoftware.
Umzekelo, isixhobo se-AI sinokucebisa:
- Iphakheji ephelelwe lixesha
- Ukuxhomekeka okubhalwe phantsi
- Igama lephakheji elinemibono
- Iphakheji enezikripthi zokufaka ezikrokrelekayo
- Ithala leencwadi elisengozini kodwa elisetyenziswa kakhulu
Ngaphezu koko, abahlaseli banokusebenzisa olu hlobo lokuziphatha ngokubhalisa amagama eepakethi anokuqanjwa zizixhobo ze-AI. Le ngozi idla ngokubizwa ngokuba yi-slopsquatting. Iguqula i-model hallucination ibe luhlaselo lwe-package supply chain.
Ukunciphisa lo mngcipheko, amaqela adinga SCA, ukufunyanwa kwe-malware, ukunyanzeliswa komgaqo-nkqubo wokuxhomekeka, kunye nohlalutyo lokufikeleleka. Kufuneka basebenzise nezibonakaliso zokuxhaphaka ezifana EPSS kunye nolwazi olusebenzayo lokuxhaphaza oluvela kwi- CISIkhathalogu eyaziwayo yokuxhatshazwa.
3. Ukuvezwa Kweemfihlo Kwimisebenzi Ye-AI
Ukutyhileka kwiimfihlo yenye yezona ngozi zisebenzayo zokhuseleko lwe-AI. Abaphuhlisi badla ngokuncamathisela umxholo kwizixhobo ze-AI. Loo mxholo ungabandakanya izitshixo ze-API, iithokheni, iziqinisekiso, ii-URL, okanye uqwalaselo lwangaphakathi.
Ukongeza, ikhowudi eyenziwe yi-AI ingabandakanya izibambi-ndawo ezibonakala ziyinyani, okanye ezimbi ngakumbi, zikhuphele iimfihlo kwiifayile zomthombo, pipeline izikripthi, okanye iilog. Nje ukuba iimfihlo zingene kwimbali yeGit okanye CI/CD iinkuni, zinokuhlala zingasetyenziswa ixesha elide emva kokuba zenziwe okokuqala commit.
Amanqaku aqhelekileyo okuvezwa aquka:
- Imbali ekhawulezileyo
- Ikhowudi eyenziweyo
- Git commits
- CI/CD logs
- IaC iifayile
- Imifanekiso yesikhongozeli
- Iindawo zokusebenza ekwabelwana ngazo
Ngenxa yesi sizathu, amaqela kufuneka adibanise ukuskena kwe-IDE-level, pre-commit iitshekhi, ukuskena imbali yendawo yokugcina izinto, CI/CD ukuskena iilog, kunye nokurhoxiswa ngokuzenzekelayo.
Ingcebiso yekhonkco langaphakathi: qhagamshela eli candelo kwimveliso yakho yokhuseleko oluyimfihlo okanye umxholo onxulumene nalo.
4. Ukusetyenziswa gwenxa kweArhente ye-AI kunye neZixhobo
I-AI ye-Agent ingenisa uludwe olutsha lomngcipheko kuba iiarhente azicebisi nje kuphela amanyathelo. Zingathatha amanyathelo.
Iarhente ye-AI ingasebenzisa imiyalelo ye-shell, ihlele iifayile, itsalele ii-API, ivule pull requests, lungisa iindlela zokusebenza ze-CI, okanye usebenzisane neenkonzo zelifu. Nangona oku kudala inzuzo enkulu yemveliso, kwandisa nobubanzi beempazamo.
Imingcipheko engundoqo ibandakanya:
- Ukuphunyezwa kwegobolondo okungakhuselekanga
- Izitshixo ze-API ezivunyelwe ngokugqithisileyo
- Utshintsho lwekhowudi olungagunyaziswanga
- Ulungelelwaniso olungalunganga lwesixhumi se-MCP okanye se-API
- Ifowuni yesixhobo ngaphandle kwesixhobo esivunyiweyo
- Ukufikelela kwindawo engqongileyo ngaphaya koko kufunwa ngumsebenzi
Udidi lwe-OWASP LLM Top 10 lwe-excessive agency lubaluleke kakhulu apha. Ukuba i-arhente inokufikelela okuninzi, umyalelo ongalunganga, i-prompt injection, okanye isixhobo esichaphazelekileyo sinokuguquka sibe sisiganeko sokhuseleko lokwenyani.
5. CI/CD kwaye Pipeline iingozi
Ikhowudi eyenziwe yi-AI ekugqibeleni ifikelela kwi pipelineNgelo xesha, umngcipheko usuka kwikhowudi yomthombo uye kwizakhiwo, izinto zakudala, iimfihlo, ukuxhomekeka, kunye nemisebenzi yokusebenza yokusasazwa.
Umzekelo, utshintsho oluncediswa yi-AI lunokuthi:
- Yongeza inyathelo lokwakha elingakhuselekanga
- Guqula indlela yokusebenza kweGitHub Actions
- Tsala iphakheji enobungozi ngexesha lokufaka
- Printa iimfihlo kwiilog zokwakha
- Khubaza ulawulo lokhuseleko
- Tshintsha indlela yokusebenzisa i-logic
Ngenxa yoko, CI/CD ukhuseleko luba lubalulekile ekusetyenzisweni kwe-AI. Pipeline guardrails kufuneka zivale iipateni ezingakhuselekanga ngaphambi kokuba zifikelele kwimveliso. Ukuze ufumane umxholo onzulu, jonga umxholo wethu kwi CI/CD ukhuseleko kwaye software supply chain security.
6. Ukuvuza kwedatha kunye nokufakwa ngokukhawuleza
Ukufakwa ngokukhawuleza yenye yezona ngozi zokhuseleko lwe-AI ezaziwayo, kodwa idla ngokungaqondwa kakuhle. Ayisiyongxaki ye-chatbot kuphela. Inokuchaphazela nayiphi na indlela yokusebenza kwe-AI eyamkela igalelo langaphandle ize isebenzise elo galelo ukukhokela izenzo.
Umzekelo, inkcazo yengxaki enobungozi, ifayile yeREADME, ithikithi yenkxaso, okanye iphepha lamaxwebhu okuxhomekeka lingabandakanya imiyalelo efihliweyo. Ukuba iarhente ye-AI ifunda loo mxholo ize iwulandele, umhlaseli unokuphembelela iifowuni zezixhobo, utshintsho lwekhowudi, okanye ukufikelela kwidatha.
Ukuvuza kwedatha kunokwenzeka ngeendlela ezifanayo. Le modeli inokutyhila umxholo obuthathaka, ishwankathele iifayile zabucala, okanye ithumele idatha eyimfihlo kwiinkonzo zangaphandle. Ke ngoko, iinkqubo ze-AI zifuna ukuhluzwa ngokukhawuleza, ulawulo lwemveliso, imiqathango yezixhobo, kunye nemida ecacileyo malunga nokuba loluphi ulwazi abanokulufikelela.
Iingozi zoKhuseleko lwe-AI kulo lonke ilizwe SDLC
Iingozi zokhuseleko lwe-AI zivela kumanqanaba ahlukeneyo omjikelo wobomi besoftware. Eyona nto ibalulekileyo kukuqinisekisa inqanaba ngalinye, kungekuphela nje usetyenziso lokugqibela.
| SDLC Isigaba | Umngcipheko woKhuseleko lwe-AI | umzekelo | Ulawulo olucetyiswayo |
|---|---|---|---|
| APHA | Ikhowudi engakhuselekanga eyenziwe yi-AI | Umncedisi wekhowudi ye-AI ucebisa ingqiqo yokuqinisekiswa engakhuselekanga. | Ixesha elilungile SAST kunye nempendulo ekhuselekileyo yokubhala ikhowudi. |
| Commit | Ukutyhileka kwiimfihlo | Ithokheni ivela kwikhowudi evelisiweyo okanye commit imbali. | Ukufunyanwa kweemfihlo, pre-commit iitshekhi, kunye nokurhoxiswa ngokuzenzekelayo. |
| Pull Request | Ukudlula kwimigaqo-nkqubo | Ikhowudi evelisiweyo itshintsha imithetho yolawulo lokufikelela ngaphandle kokuhlaziywa. | PR guardrails kunye nokunyanzeliswa komgaqo-nkqubo. |
| Yakha | Ukuxhomekeka okubi | Iphakheji ecetyiswa yi-AI ibandakanya indlela yokufaka ekrokrisayo. | SCA, ukufunyanwa kwe-malware, kunye nokuhlolwa kwemigaqo-nkqubo yokuxhomekeka. |
| CI/CD | Pipeline yokusingatha | Iarhente itshintsha iifayile zomsebenzi okanye izikripthi zokusasazwa. | CI/CD ukuhlolwa kokhuseleko kunye nokuchongwa kwezinto ezingaqhelekanga. |
| Ixesha lokubaleka | Ukufakwa ngokukhawuleza okanye ukuvuza kwedatha | Igalelo langaphandle libangela ukuba umsebenzi we-AI utyhile umxholo obuthathaka. | Ulawulo olukhawulezileyo, imiqathango yokufikelela, kunye nokubeka esweni. |
Iingozi zoKhuseleko lwe-AI vs iingozi zoKhuseleko lwe-Intanethi zeMveli
Ukhuseleko lwe-intanethi lwendabuko lusabalulekile. Nangona kunjalo, i-AI yongeza iindlela ezintsha zokuziphatha ezifuna ulawulo olwahlukileyo.
| ummandla | Umngcipheko wezoKhuseleko lweIntanethi weNdalo | Umngcipheko woKhuseleko lwe-AI |
|---|---|---|
| ikhowudi | Ubuthathaka obubhalwe ngabantu. | Iipateni ezingakhuselekanga eziveliswe yi-AI ngesantya esiphezulu. |
| Ukuxhomekeka | Iiphakheji ezaziwayo ezisengozini. | Iipakethi ezicetyiswa yi-AI ezingabonakaliyo, ezinobuqhetseba, okanye ezingakhuselekanga. |
| iimfihlo | Iziqinisekiso ngengozi commitihlolwe ngabaphuhlisi. | Iimfihlo ezikopishwe kwizikhokelo, ikhowudi evelisiweyo, okanye kwiilog. |
| izixhobo | Ukusetyenziswa gwenxa kwezixhobo zomphuhlisi ngesandla. | Iiarhente ezizimeleyo zisebenzisa izixhobo okanye ii-API gwenxa. |
| Pipelines | Ayiqwalaselwanga kakuhle CI/CD usebenza. | Utshintsho lomsebenzi oluveliswa yi-arhente okanye ukuzenzekela okungakhuselekanga. |
Imizekelo yoMngcipheko woKhuseleko lwe-AI lweHlabathi lokwenyani
Umngcipheko wokhuseleko lwe-AI awungowokuqikelelwa. Izikhokelo ezininzi zikawonke-wonke kunye nemizamo yophando ngoku zilandelela le micimbi ngokusesikweni.
The Indawo yokugcina umngcipheko ye-MIT AI Ikhathalogu ithatha iingozi ze-AI ezingaphezu kwe-1,700 kwiimbangela ezahlukeneyo kunye neendawo ezahlukeneyo. Okwangoku, i-OWASP ibonelela ngeendidi ezisebenzayo zeengozi zesicelo se-LLM, kubandakanya ukufakwa ngokukhawuleza, ukutyhilwa kolwazi oluyimfihlo, ubuthathaka bekhonkco lokubonelela, kunye nokugunyaziswa okugqithisileyo.
Kumaqela eDevSecOps, imizekelo efanelekileyo idla ngokuvela ekunikezelweni kwesoftware:
- Izixhobo ze-AI ezicebisa ikhowudi esengozini
- Iiarhente ze-AI ezilungisa iifayile zomsebenzi
- Ukuxhomekeka okuveliswe yi-AI okwazisa ukuvezwa kwekhonkco lokubonelela
- Iimfihlo ezivuzayo ngemiyalelo, iirekhodi, okanye commits
- Izixhobo zokubiza imisebenzi ye-arhente ngaphandle kwesithuba esivunyiweyo
Ngamafutshane, iingozi zokhuseleko lwe-AI ziba nzulu ngakumbi xa iinkqubo ze-AI zinokuchukumisa ikhowudi, iziqinisekiso, iipakeji, pipelineokanye iziseko zophuhliso.
Indlela Yokunciphisa Iingozi Zokhuseleko lwe-AI Ngokusebenzayo
Eyona ndlela ilungileyo yokunciphisa iingozi zokhuseleko lwe-AI kukuphatha uphuhliso oluncediswa yi-AI njengenxalenye ye SDLCOko kuthetha ukuskena kwangethuba, ukuqinisekisa rhoqo, kunye nokunyanzelisa imigaqo-nkqubo apho abaphuhlisi basebenza khona ngokwenene.
1. Skena ikhowudi eyenziwe yi-AI kwi-IDE
Abaphuhlisi kufuneka babone impendulo yokhuseleko ngelixa bebhala okanye besamkela ikhowudi eyenziwe yi-AI. Oku kunciphisa ukutshintsha komxholo kwaye kunceda ukulungisa iingxaki ngaphambi kokuba zifike kwi-Git.
Sebenzisa:
- SAST kwi-IDE
- Iinkcazo zobuthathaka obuphakathi
- Iingcebiso zokulungisa ezikhuselekileyo
- Ukulungiswa okuqaphela umgaqo-nkqubo
Oku kubaluleke kakhulu kubancedisi bekhowudi ye-AI, apho iingcebiso ezingakhuselekanga zinokungena ngokukhawuleza kwikhowudi.
2. Qinisekisa ukuxhomekeka ngaphambi kokuba wakhe
Ukuxhomekeka okucetyiswa yi-AI kufuneka kuqinisekiswe ngaphambi kokuba kufakwe okanye kuthunyelwe. Ke ngoko, amaqela kufuneka aqinisekise ulawulo lokuxhomekeka ngexesha lophuhliso kunye CI/CD.
Sebenzisa:
- SCA
- Ukufunyanwa kweMalware
- Ukufunyanwa kwe-typosquatting
- Amanqaku e-EPSS
- Uhlalutyo lokufikelela
- Ukuthintela okusekelwe kumgaqo-nkqubo
Oku kunceda ukubeka phambili iipakethe ezimele umngcipheko wokwenyani, kungekuphela nje ukuvezwa kwethiyori.
3. Fumanisa kwaye Ususe Iimfihlo Ngokuzenzekelayo
Ukuskena iimfihlo kufuneka kugqume okungaphezulu kunekhowudi yomthombo. Iindlela zokusebenza ezincediswa yi-AI zinokuveza iziqinisekiso kwiindawo ezininzi.
Sebenzisa:
- Pre-commit ukuskena
- Ukuskena imbali yokugcina izinto
- Pipeline ukuskena iilog
- IaC ukuskena
- Ukuskena umfanekiso wesikhongozeli
- Ukurhoxiswa okuzenzakalelayo
Ngenxa yoko, amaqela anciphisa ixesha eliphakathi kokuvezwa kunye nokuthintela.
4. Ukuqinisekisa Guardrails in CI/CD
Guardrails kufuneka bagqibe kwelokuba utshintsho lukhuselekile ngokwaneleyo na ukuze luqhubeke. Ingxelo iluncedo, kodwa ukuvimba kuyimfuneko ukuze kubekho umngcipheko omkhulu.
Guardrails kufuneka igubungele:
- Ubuthathaka obutsha obubalulekileyo
- iimfihlo
- Ukuxhomekeka okunobungozi
- Iipakeji ezingaphinwanga okanye ezingathembekanga
- Utshintsho olungakhuselekanga kumsebenzi wokusebenza
- Ulahlekile SBOMs
- Ukwaphulwa kwemigaqo-nkqubo
Ukongeza, amaqela kufuneka aqale ngendlela yokunika ingxelo kuphela xa kufuneka, aze aqhubekele ekuthinteleni njengoko ukuzithemba kukhula.
5. Jonga indlela yokuziphatha kwezixhobo ze-Arhente
Iinkqubo ze-AI ze-Arhente zifuna ukujongwa. Ukuba i-arhente inokuhlela iifayile, iqalise ukwakha, okanye itsalele ii-API, amaqela kufuneka azi ukuba yenze ntoni, ukuba yenze nini, kwaye ingaba isenzo besilindelwe na.
Ukujonga:
- Iifowuni zezixhobo
- Utshintsho lwefayile yomsebenzi
- Umsebenzi wokubhala kwindawo yokugcina izinto
- Iindawo zenethiwekhi
- Ukufikelela kwiimfihlo
- Pull request indalo
- Pipeline kudala
Ngaphandle koku kubonakala, ukuzimela kweearhente kuba nzima ukukuthemba.
Apho iXygeni inceda khona ekunciphiseni iingozi zokhuseleko lwe-AI
I-Xygeni igxile ekuqinisekiseni uphuhliso oluncediswa yi-AI kulo lonke uthotho lokuhanjiswa kwesoftware. Endaweni yokuphatha umngcipheko we-AI njengodidi olwahlukileyo, idibanisa ikhowudi, ukuxhomekeka, iimfihlo, pipelinekunye nomxholo weshishini.
Umzekelo:
- SAST inceda ekufumaneni ikhowudi engakhuselekanga eyenziwe yi-AI kwangethuba.
- SCA iqinisekisa ukuxhomekeka kwaye ichonga iipakethi ezinobungozi.
- Ukhuseleko Lweemfihlo ifumana iziqinisekiso eziveziweyo kwiindawo zokugcina izinto kunye pipelines.
- CI/CD ukhuseleko inyanzelisa imigaqo-nkqubo ngaphambi kokuba utshintsho olungakhuselekanga luqhubeke.
- Ukufunyanwa kwe-Anomaly ichonga indlela yokuziphatha engaqhelekanga kwindlela yokusebenza yophuhliso kunye nokuhanjiswa kweenkonzo.
- ASPM idibanisa iziphumo kwimbono enye yomngcipheko ukuze amaqela akwazi ukubeka phambili izinto ezibalulekileyo.
Oku kubalulekile kuba iingozi zokhuseleko lwe-AI ziphakathi kwamanqwanqwa ngokwemvelo. Ukuxhomekeka okubuthathaka, ithokheni eveziweyo, kunye notshintsho lomsebenzi ongakhuselekanga zinokubonakala zahlukile kwizixhobo zamanqaku. Nangona kunjalo, xa zidibene zinokumela indlela enkulu yokuhlasela.
Izikhokelo zoLawulo loMngcipheko woKhuseleko lwe-AI ekufuneka uzazi
Izikhokelo ezininzi zinceda amaqela ukuba ahlele umsebenzi wawo.
The Isakhelo soLawulo loMngcipheko se-NIST AI Inceda imibutho ukubala, ukulinganisa, ukulawula, kunye nokulawula iingozi ze-AI. Iluncedo kubunkokeli, ukuthobela imithetho, kunye neenkqubo zomngcipheko.
The I-OWASP Top 10 kwizicelo ze-LLM Iluncedo ngakumbi kumaqela e-AppSec kuba ihambelana ngqo neengozi zobugcisa ezifana nokufakwa ngokukhawuleza, ukuvezwa kwedatha ebuthathaka, ubuthathaka bekhonkco lobonelelo, kunye nokungakhathali.
The Isikhokelo se-NCSC AI kunye nokhuseleko lwe-cyber iluncedo kwiinkokheli zokhuseleko ezifuna ukuqonda indlela i-AI etshintsha ngayo umngcipheko we-cyber wentlangano.
Xa zizonke, ezi zixhobo zibonisa ingongoma enye ecacileyo: Ukhuseleko lwe-AI kufuneka lulawulwe ngabantu, iinkqubo, iinkqubo, kunye nemisebenzi yokuhambisa isoftware.
Uluhlu lokujonga: Indlela yokunciphisa iingozi zokhuseleko lwe-AI
Sebenzisa olu luhlu lokuhlola njengesiqalo esisebenzayo.
| Indawo yoLawulo | Kwenziwe ntoni | Isizathu sokuba Kubalulekile |
|---|---|---|
| Ikhowudi eyenziwe nge-AI | Run SAST kwi-IDE, kwi-PR, nakwi- CI/CD pipeline. | Ithintela ikhowudi engakhuselekanga ekufikeleleni kwimveliso. |
| Ukuxhomekeka | ukusebenzisa SCA, ukufunyanwa kwe-malware, i-EPSS, kunye nokufikeleleka. | Ithintela iipakethe ezinobungozi ezicetyiswa yi-AI. |
| iimfihlo | Imitha commitiirekhodi, imbali, IaC, kunye nezikhongozeli. | Inciphisa ukuvezwa kweziqinisekiso kunye nokusetyenziswa gwenxa kwazo. |
| CI/CD | Nyanzelisa pipeline guardrails kunye namasango omgaqo-nkqubo. | Iyayimisa imisebenzi kunye nokufakwa kwayo okungakhuselekanga. |
| Izixhobo zearhente | Jonga iifowuni zezixhobo, ukufikelela kwi-API, kunye notshintsho lomsebenzi. | Ithintela ukuzimela okugqithisileyo kunye nokuziphatha okungalindelekanga. |
| Ulawulo lwengozi | ukusebenzisa ASPM ukulungelelanisa iziphumo kuzo zonke iileya. | Inceda amaqela ukuba agxile kumngcipheko wokwenyani weshishini. |
IItrakthi ezibalulekileyo
- Iingozi zokhuseleko lwe-AI ngoku zichaphazela ikhowudi, ukuxhomekeka, iimfihlo, pipelines, kunye neearhente.
- Izixhobo zemveli ze-AppSec zisafuneka, kodwa kufuneka zisebenze kwangethuba kwaye zibe nomxholo ongaphezulu.
- Ikhowudi eyenziwe yi-AI kufuneka ithathwe njengengathembekanga ide iqinisekiswe.
- Iimfuneko zomsebenzi wearhente ye-AI guardrails, iimvume, kunye nokuqwalaselwa.
- Amaqela eDevSecOps afuna ukubonakala okuhlangeneyo kulo lonke ilizwe SDLC ukulawula umngcipheko we-AI ngokufanelekileyo.
Imibuzo Ebuzwa Rhoqo: Iingozi zoKhuseleko lwe-AI
Zithini iingozi zokhuseleko lwe-AI?
Iingozi zokhuseleko lwe-AI zizisongelo okanye ubuthathaka obuvela xa iinkqubo ze-AI zakhiwe, zidityaniswa, okanye zisetyenziswa. Zinokuchaphazela iimodeli, idatha, izindululo, ikhowudi, ukuxhomekeka, ii-API, kunye pipelines.
Zeziphi iingozi ezinkulu zokhuseleko lwe-AI kumaqela e-DevSecOps?
Ezona ngozi zinkulu ziquka ikhowudi eveliswe yi-AI engakhuselekanga, ukuxhomekeka okubuthathaka, ukutyhilwa kwiimfihlo, ukufakwa ngokukhawuleza, iimvume ezininzi zeearhente, kunye nokungakhuseleki CI/CD oomatshini abazihambelayo.
Kutheni iingozi zokhuseleko lwe-AI zahlukile kwiingozi zokhuseleko lwe-cyber zemveli?
Iinkqubo ze-AI zinokuvelisa ikhowudi, zicebise ukuxhomekeka, zibize izixhobo, kwaye zizenze ngokwazo. Ngenxa yoko, iingozi zibonakala ngokukhawuleza nakweminye imigangatho emininzi ye SDLC.
Amaqela angazinciphisa njani iingozi zokhuseleko lwe-AI?
Amaqela anokunciphisa umngcipheko ngokuskena ikhowudi eyenziwe yi-AI, ukuqinisekisa ukuxhomekeka, ukufumana iimfihlo, nokunyanzelisa CI/CD guardrails, ukujonga indlela abaziphatha ngayo abameli, kunye nokudibanisa iziphumo ngokusebenzisa ASPM.
Ngaba ikhowudi eyenziwe yi-AI ikhuselekile?
Ikhowudi eyenziwe yi-AI ayikhuselekanga ngokuzenzekelayo. Ifanele ihlolwe, iskeniwe, ivavanywe, kwaye iqinisekiswe ngaphambi kokuba ifikelele kwimveliso.
Iingcinga Zokugqibela: Iingxaki Zokhuseleko lwe-AI Ziyimfuneko SDLCUlawulo lweNqanaba
I-AI itshintsha isantya kunye nohlobo lomngcipheko wesoftware. Inceda amaqela ukuba akhe ngokukhawuleza, kodwa ikwazisa neendlela ezintsha zekhowudi engakhuselekanga, iimfihlo eziveziweyo, ukuxhomekeka okungakhuselekanga, kunye nokuzisebenzela okuyingozi ukuze kungene kwikhonkco lokuhambisa.
Ke ngoko, ukhuseleko lwe-AI alunakuphathwa kuphela ngolawulo lwemodeli okanye amaxwebhu omgaqo-nkqubo. Lufuna ulawulo olusebenzayo ngaphakathi SDLC: Impendulo ye-IDE, SAST, SCA, ukufunyaniswa kweemfihlo, CI/CD guardrails, ukufunyanwa kwezinto ezingaqhelekanga, kunye ASPM-unxibelelwano lwenqanaba.
Amaqela alawula kakuhle iingozi zokhuseleko lwe-AI akayi kuba ngawo athintela ukwamkelwa kwe-AI. Aza kuba ngawo akha umaleko ofanelekileyo wokhuseleko oluyijikelezileyo.
