- I-AI ye-Agent ithuthukisa ukuzenzekela okuvamile ngekhono lokucabanga, ukuhlela, nokwenza imisebenzi ngokuzimela.
- Ekuphepheni kohlelo lokusebenza, lokhu kugeleza kuvumela ukuhlaziywa okuqhubekayo nokuguquguqukayo okunqoba ukulinganiselwa kwamathuluzi avamile e-SAST ne-DAST.
- Ukusetshenziswa kwe-ejenti evikelekile kudinga ukulawulwa okuqinile kokusetshenziswa kwamathuluzi, ukuphathwa kokhiye be-API, kanye nokuvimbela i-loop engapheli.
- Ukuthuthukiswa okusekelwe ezicacisweni (i-SDD) kubalulekile ekuqinisekiseni ukuthi ukuzimela kwe-AI kuhlala ngaphakathi kwemingcele yokusebenza kanye neyokuziphatha.
Cishe uke wezwa nge-AI ekhiqizayo, kodwa okusafufusa njengamanje kuyinto enamandla kakhulu. Asikhulumi ngama-chatbot alula aphendula imibuzo, kodwa kunalokho sikhuluma ngezinhlelo zokusebenza ezisebenza njenge-agent - izinhlelo ezikwazi ukuthatha isondo, ukucabanga ngenkinga, nokwenza izenzo zangempela zokuyixazulula ngaphandle kokuthi sibanikeze imiyalelo yesinyathelo ngesinyathelo.
Lokhu kushintsha kwendlela akusona isithembiso sesikhathi esizayo; sekuvele kuzamazamisa izisekelo zezimboni ezahlukahlukene . Kusukela ekuphathweni kwezempilo kuya ekutholakaleni kokukhwabanisa kwezezimali, ikhono le-AI lokusebenza njenge-ejenti ezimele livumela izinkampani ukuthi zithuthukise izinqubo ezazidinga ukugadwa kwabantu njalo futhi okukhathazayo.
I-Agent AI vs. I-AI Yendabuko
Kalula nje, i-AI yendabuko ifana nomsizi olandela incwadi yemiyalelo: uma kwenzeka u-A, yenza u-B. Inquma futhi ilinganiselwe. Ngokuphambene nalokho, i-AI e-ejenti inekhono lokucabanga , ihlele umzila wayo, futhi isebenzise amathuluzi angaphandle, njenge-API noma ama-terminal, ukuze ifinyelele umgomo oyinkimbinkimbi. Ayigcini nje ngokukunikeza impendulo; iklama futhi isebenzise umsebenzi odingekayo ukuze kuqedwe umsebenzi.
Izinsika ezisekela lo modeli ukuzivumelanisa nezimo kanye nokuzimela . Uma i-ejenti ihlangabezana nesithiyo, njenge-API engaphenduli, ingaphenduka futhi ithole enye indlela, njengoba kwenzeka emibonisweni edumile ka-Andrew Ng lapho i-AI ishintshe ithuluzi elinephutha nge-Wikipedia ukuze iqedele umsebenzi. Lokhu kuguquguquka yikho okuvumela i-AI ukunciphisa kakhulu imisebenzi ejwayelekile nephindaphindayo .
Umthelela Wangempela Emikhakheni Yeqhinga
Endaweni yesevisi yamakhasimende , sisuka kuma-chatbot aqinile siye kuma-ejenti ahlaziya inhloso yangempela yomsebenzisi futhi enze isixazululo sibe ngesakho ngesikhathi sangempela. Kulinganiselwa ukuthi ngo-2025, ingxenye enkulu yezinkampani izobe isivele ihlanganise lezi zinhlelo ukuphatha imibuzo nokwandisa amacala ngaphandle kokungenelela komuntu, okuthuthukisa ukusebenza kahle.
Umkhakha wezezimali uthole ukuthi kulezi zindlela zokudlulisa idatha ithuluzi elinamandla lokuthola ukukhwabanisa ngesikhathi sangempela . Nakuba ukuphepha kwendabuko ngezinye izikhathi kufika sekwephuzile kakhulu, i-AI ejenti ihlaziya amaphethini asolisayo ngokushesha, imise ubugebengu ngaphambi kokuba buvele. Akuyona into engaqondakali ukuthi amabhange asanda kutshala izigidigidi zamaRandi ku-AI.
Ngakolunye uhlangothi, kwezempilo, lezi zindlela zokusebenza zithembisa ukuxazulula isiphithiphithi sokwabiwa kwezinsiza. Cabanga ngohlelo olubeka phambili ukunakekelwa kweziguli ngokusekelwe ekuphuthumeni futhi olunikeza imibhede ngendlela eguquguqukayo. Nakuba ukuthunyelwa kwalo kabanzi kuhamba kancane kancane, lo mkhuba ubonisa ukuthi abasebenzisi bakhetha i-AI emisebenzini eyisisekelo yokuphatha , ngaleyo ndlela behlisa umthwalo kubasebenzi bezokwelapha.
Ukuguqula i-AppSec: Ngale kwe-SAST ne-DAST
Yilapho izinto ziba mnandi khona. Kukhona umbono ophazamisayo osikisela ukuthi imisebenzi yokuphepha kwe-ejenti empeleni ingamathuluzi okuhlaziya aqinile (i-SAST) kanye ne-dynamic (i-DAST) , kodwa inomjikelezo wokucabanga phezulu. Esikhundleni sokusebenzisa isheke nokulinda umbiko, i-ejenti ingena emjikelezweni wokubuyekeza oqhubekayo : ihlaziya ikhodi, ibheka ukuziphatha kwesikhathi sokusebenza, futhi ishintshashintsha ngokusekelwe kulokho ekutholayo.
Le ndlela iyingozi kakhulu ekutholeni amaphutha anengqondo kanye namacala onqenqema esivame ukuwaphuthelwa. Uhlelo alugcini nje ngokubheka izimpawu ezaziwayo kodwa futhi luzama ukuqonda umongo, okusivumela ukuthi sithole izindlela zokusebenzisa noma amaphutha amaningi , yize esebenza kahle, abeka ingozi enkulu. Kodwa-ke, akufanele sithatheke yi-hype: I-AI isesencane futhi ngeke ithathe indawo yonjiniyela be-AppSec , kodwa ithuthukisa amakhono abo kakhulu.
Izingozi Nokunciphisa Ukwamukelwa Kwama-ejenti
Akusikho konke ukukhanya kwelanga nokuqhakaza. Ukunikeza ukuzimela ku-AI kuthwala izingozi ezinkulu zobuchwepheshe okumele amaqembu okuphepha aziqaphele. Enye yezingozi ezisobala kakhulu ukusetshenziswa kabi kwamathuluzi ; i-ejenti ingasebenzisa umyalo wokuvuselela ophula ukukhiqizwa noma, okubi nakakhulu, ukuphrinta iziguquguquko zemvelo ku-log, iveze izimfihlo nezihluthulelo ezibucayi.
- Ukusetshenziswa kabi kokhiye be-API: Uma i-ejenti inezimvume eziningi, noma yiliphi iphutha liba ukuguqulwa kwesistimu okubalulekile (i-Excessive Agency).
- Izilungiselelo ezingalungile: Ukuntuleka kokuqinisekiswa kwezixhumi ezifana ne-MCP kungavula iminyango yezitolo zedatha eziyimfihlo.
- Izibuyekezo ezingaboni: Ukufaka izinto ezixhomeke kuzo ngoba nje kukhona inguqulo entsha ngaphandle kokuhlola ingozi yokulungisa noma i-EPSS Kuyindlela yokwelapha inhlekelele.
- Izihibe ezingenamkhawulo: I-ejenti ekhohlisiwe ingangena ku-loop egcwalisa ama-API noma isuse amafayela ngokuphindaphindiwe, okubangela ukwenqatshwa kwesevisi kwangaphakathi.
Ukuthuthukiswa Okuqhutshwa Yizincazelo (i-SDD)
Ukuze kuvinjelwe i-ejenti ukuthi ingabi yizigebengu futhi iphambuke emgomweni, i-Special-Driven Development ibalulekile . Empeleni, ihilela ukuchaza incazelo ecacile nesemthethweni ngaphambi kokuba i-AI ibhale umugqa owodwa wekhodi. Le ncazelo isebenza njengekhampasi ye-ejenti , inciphisa ukungaqondakali futhi ivumela ukwenziwa okuhlolisiswayo ngokumelene nenkontileka yokuqala.
Ezindaweni ezifana nemisebenzi emisha ye-GitHub, lezi zincazelo zibhalwe ku-Markdown ecacile. Lokhu kuvumela i-AI eqhubekayo , lapho ama-ejenti ephatha khona ukuhlelwa kwezinkinga, aphakamise ama-patches azenzakalelayo okwehluleka kokuhlanganiswa, futhi agcine amadokhumenti esesikhathini , asuse isikweletu sobuchwepheshe esingapheli sama-README.
Ukusetshenziswa Kobuchwepheshe: Icala Lezinhlelo Zokusebenza Ze-Azure Logic
Kulabo abafuna ukukusebenzisa lokhu, amathuluzi afana ne-Azure Logic Apps akuvumela ukuthi udale imisebenzi ye-ejenti ezimele . Lezi zinhlelo zisebenzisa ama-loop e-ejenti namamodeli olimi (njenge-GPT-4o) ukucubungula imisebenzi ngokuphindaphindiwe. Inqubo ihilela ukumisa imiyalelo echaza indima ye-ejenti, imikhawulo yayo, kanye namathuluzi asetshenziswayo.
Isihluthulelo lapha ukudalwa kwamathuluzi athile . Isibonelo, i-ejenti yesimo sezulu izodinga ithuluzi elilodwa ukuthola idatha yesimo sezulu kanye nelinye lokuthumela ama-imeyili. Lawa mathuluzi ahlelwe ngamapharamitha angakhiqizwa yimodeli noma avela emithonjeni engaguquki. Ukuphatha ubude bomongo womlando wengxoxo kubalulekile ukugwema amaphutha omkhawulo wethokheni, kusetshenziswa amasu okunciphisa imiyalezo engasebenzi.
Icebiso elihle ukwenza i-prototype usebenzisa isenzo sokubhala . Esikhundleni sokuxhuma i-AI ngqo kusizindalwazi sangempela, izimpendulo ziyalingiswa ukuze kulungiswe imiyalelo namagama amathuluzi ngaphandle kwengozi yokubanga imiphumela emibi ohlelweni. Uma ukugeleza sekuzinzile, ama-simulators athathelwa indawo ngokuxhumana kwangempela, okuguquguqukayo.
Ukuhlanganiswa kwe-AI ejenti emjikelezweni wokuphila kwesofthiwe kanye nokuphepha kumelela igxathu elikhulu eliya e-automation ehlakaniphile . Ngokuhlanganisa ukucabanga okuzimele kanye nezindlela zokuzivikela eziqinile kanye nentuthuko eqhutshwa yizincazelo, izinhlangano zingakhulula abathuthukisi bazo emthwalweni wemishini futhi zigxile ekwakhiweni kwezakhiwo kanye namasu, ngenkathi zigcina ukuqondiswa kwabantu ezindaweni ezibalulekile zokuthunyelwa.