
TECHNOLOGY
I-red teaming
Ku-red teaming, sibeka ububanzi bokusebenzisa ngokwenhloso nemingcele, futhi sicacisa kusengaphambili izimo lapho kungeke kusetshenziswe khona. Asibopheleli umsebenzi kumodeli noma esisekelweni esisodwa; sihlukanisa idatha, ukuxhumana nokuhlola ukuze sigcine izizathu zokukhetha.
1 kwezingu-1: I-red teaming
I-AI ethembekile
I-red teaming
Ku-red teaming, sibeka ububanzi bokusebenzisa ngokwenhloso nemingcele, futhi sicacisa kusengaphambili izimo lapho kungeke kusetshenziswe khona. Asibopheleli umsebenzi kumodeli noma esisekelweni esisodwa; sihlukanisa idatha, ukuxhumana nokuhlola ukuze sigcine izizathu zokukhetha.
Ububanzi bokusebenzisa
Ku-red teaming, sibeka ububanzi bokusebenzisa ngokwenhloso nemingcele, futhi sicacisa kusengaphambili izimo lapho kungeke kusetshenziswe khona.
Izinqumo zokuklama
Ku-red teaming, asibopheleli umsebenzi kumodeli noma esisekelweni esisodwa; sihlukanisa idatha, ukuxhumana nokuhlola ukuze sigcine izizathu zokukhetha.
Indlela yokuqinisekisa
Ku-red teaming, silungisa okufakwayo nemigomo engaphindeka, bese sihlola ukuziphatha okuhlanganisa nezibonelo zokwehluleka.
Ukuqinisekisa ngesikhathi sokusebenza
Ku-red teaming, silandelela umlando wezinguquko, ukushintsha kwekhwalithi nesimo sokusetshenziswa, sigcine nendlela yokubuyisela emuva lapho kudingeka.
Isinqumo somuntu
Ku-red teaming, asishiyi izinqumo ezibalulekile ekuzenzakaleleni kuphela; siklama umuntu onesibopho namaphuzu okuqinisekisa.