Buyela Ezindabeni
UkuphephaAI Understanding ukwaziswa

Abacwaningi bezokuphepha babika ukusheshisa okuqhutshwa yi-AI kokutholakala nokuba sengozini nokuxhashazwa

Inhlolovo yamafemu ocwaningo lwezokuphepha angama-30 iveza ukuthi amathuluzi e-AI ehlisa kakhulu isikhathi esidingekayo ukuze kutholwe amaphutha osuku oluyiziro, kuyilapho eshintsha ama-vectors okuhlasela aye ekudukisweni komenzeli we-AI kanye nokukhathala kwezomnotho kwezabelomali zamathokheni.

4 min readRead the linked source
Source-provided image accompanying Security researchers report AI-driven acceleration of vulnerability discovery and exploitation
Inkomba yomthomboUmthombo urekhodiwe
Umshicileli
calcalistech.com
Isixhumanisi somthombo
calcalistech.comhttps://www.calcalistech.com/ctechnews/article/r1gg52vtfg
Uhlobo lomthombo
Umthombo oxhunyiwe — isimo somthombo oyinhloko asikasungulwa.
UmongoQonda lokhu ngemizuzwana engama-60

Qala lapha

Imigomo ebalulekile

I-MCP (Model Context Protocol)
Iphrothokholi evulekile evumela izinhlelo zokusebenza ze-AI ukuthi zixhume kumathuluzi angaphandle, imithombo yedatha, nabahlinzeki bomongo ngendlela evamile.
Imodeli Yolimi Olukhulu (LLM)
Imodeli yolimi eqeqeshwe ku-massive text corpora ukuze ikhiqize futhi ihlaziye umbhalo.
Umjovo osheshayo
Iphethini yokuhlasela lapho kufakwa khona iziqondiso ezinonya kokokufaka kwemodeli noma kokuqukethwe okubuyisiwe.
ZihloleImibuzo ye-AI Agents

Kwenzekeni

Inhlolovo eyenziwe yiCalcalistech yochwepheshe bocwaningo lwezokuphepha bakwa-Israel abangama-30 ikhombisa ukuthi i-AI yehlisa kakhulu isithiyo sokungena ekuhlaselweni kwe-inthanethi okuyinkimbinkimbi. Abacwaningi babika ukuthi imisebenzi ebidinga izinyanga zomzamo wabalingisi bezwe-njengokuthuthukisa ukuxhashazwa kweProof of Concept (PoC)-manje ingaqedwa ngezinsuku. Okutholakele kugqamisa uguquko endaweni esongelayo lapho i-AI isetshenziselwa ukwenza ngokuzenzakalelayo ukutholwa kobungozi, ukukhohlisa ama-agent athembekile e-AI, futhi kuhlaselwe umnotho ngokuqeda isabelomali sethokheni ye-AI yebhizinisi.

Inhlolovo igqamisa ukuthi amathuluzi okuhweba e-AI afinyeze imigqa yesikhathi yocwaningo lwezokuphepha, okuvumela umcwaningi ngamunye ukuthi embule amaphutha ezinsuku eziyize ezinkundleni ezinkulu ezifana ne-Zoom, Google Cloud, kanye ne-Microsoft Copilot. Ochwepheshe baqhathanisa le nguquko 'nesikhathi esishubile se-AFL' sika-2013, bephawula ukuthi nakuba i-AI iphumelela ekutholeni isithelo esilenga kancane, ihlala ijwayele ukubonwa izinto ezingekho kanye nokulahlekelwa komongo, okwenza kudingeke ukuqhubeka kokuqapha komuntu.

Ingxenye ebalulekile yocwaningo igxile ekuguqukeni kokusuka ekuhlaselweni okusekelwe kumininingwane kuya ekukhohlisweni kwabenzeli abathenjwayo be-AI. Ngokusebenzisa umjovo wokwaziswa ongaqondile, abahlaseli bangathonya ama-agent kubasebenzisi bobugebengu bokweba imininingwane ebucayi noma bakhiphe idatha ebucayi ngaphandle kokudinga amagama ayimfihlo endabuko. Amafemu amaningana abike ukuboniswa okuyimpumelelo kokuthathwa okunjalo ngamadokhumenti okwabelwana ngawo nama-imeyili.

Umbiko uhlonza i-vector yenoveli yokuhlasela: impi yezomnotho ngokumelene nama-SOC. Ngokugcwala kwezinhlelo zokuphepha ezizenzakalelayo ezinomsindo, abahlaseli baphoqelela amamodeli e-AI angaphansi ukuthi acubungule idatha engadingekile, aqede ngempumelelo ibhajethi yethokheni yebhizinisi futhi okunamandla okubangela ukuthi isistimu ihluleke noma ibize ngokungafanele ukusebenza.

Abaphenduli bagcizelele ukuthi amaphuzu obucayi obungawodwa aya ngokuya aphelelwa isikhathi. Kunalokho, bamela ukuhlaziya 'kochungechunge lokuhlasela', lapho ukungalungiselelwa kahle okuningi kokuqina okuphansi kubukwa njengendlela eyodwa, eyingozi eya ekwehleni kwezokuphatha.

Imininingwane yomthombo: calcalistech.com ↗

Kungani kubalulekile

Ukwenziwa ngentando yeningi kwamakhono okuhlasela athuthukile kusho ukuthi ubungozi besofthiwe yezohwebo buyabonakala futhi buxhashazwa ngesivinini esingakaze sibonwe. Ngokususa ukugxila ekwebiweni kwemininingwane evamile kuye ekukhohlisweni kwama-ejenti e-AI kanye nokuxhashazwa kokuncika kwezinkampani zangaphandle, abahlaseli badlula ukuvikela okujwayelekile kwepherimitha. Ngaphezu kwalokho, ukuvela 'kwempi yezomnotho'—lapho izitha zikhukhula izinhlelo zokuphepha ezinomsindo wokuqeda isabelomali samathokheni e-AI—kwethula ubungozi obusha bokusebenza kwamabhizinisi athembele ezikhungweni zokusebenza zokuphepha ezizenzakalelayo (ama-SOC). Lezi zinguquko ziphakamisa ukuthi amamethrikhi obunzima obuvamile bokuba sengcupheni, njengamaphuzu e-CVE, awanele ekuhloleni ubungozi bomhlaba wangempela, njengoba abahlaseli baya ngokuya behlanganisa amaphutha amancane, angabalulekile ukuze bathole ukuyekethisa okugcwele kwesistimu.

Okutholiwe kugcizelela ushintsho oluyisisekelo ku-perimeter yezokuphepha. Njengoba amabhizinisi ehlanganisa ama-agent e-AI ekuhambeni kwawo komsebenzi, 'i-ejenti ethenjwayo' iba inhloso eyinhloko. Uma i-ejenti ifakwa ebucayini, ingasebenza njengebhuloho lamasistimu angaphakathi, inikeze amathuluzi avamile okuthola nokuphendula (EDR) angasebenzi kahle.

Umthelela wezomnotho wokuhlaselwa okuqhutshwa yi-AI wethula isici esisha ku-cybersecurity. Amabhizinisi manje kufanele abhekane nezindleko zokucabanga kwe-AI njengento engaba sengcupheni, njengoba abahlaseli bengakwazi ukuhlomisa ukwakheka kwezindleko zamathuluzi okuvikela asekelwe ku-LLM ukuze baphazamise ukusebenza.

Ukuthembela kokuncika kwe-AI yenkampani yangaphandle, njengezandiso zesiphequluli namaseva e-MCP, kudala ubungozi bochungechunge lokuhlinzeka olungabhekwa kangako okwamanje. Inhlolovo iphakamisa ukuthi imboni njengamanje isesigabeni sokutholwa ngokushesha esidlula ukuthuthukiswa kokulawulwa kwezokuphepha okudingekayo.

Interactive Mechanism

I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela

Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
I-Interactive Concept Check+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Ongakubuka ngokulandelayo

Ochwepheshe bezokuphepha bakhathazeka kakhulu mayelana 'nezindawo ezingaboni kahle' ezidalwe ukwamukelwa ngokushesha kwengqalasizinda ye-AI, okuhlanganisa amathuluzi omthombo ovulekile njenge-Ollama kanye namabhuloho we-Model Context Protocol (MCP). Njengoba lokhu kuncika kuhlanganiswa nokugeleza komsebenzi webhizinisi, kumelela ubungozi obukhulayo bochungechunge lokuhlinzekwa kwempahla okwamanje engenakho ukugadwa okuqinile. Imboni kulindeleke ukuthi iqhubekele kumamodeli wokuhlola ubungozi obuningi abangela ukufinyeleleka kwenethiwekhi namaketango okuhlasela, kunokuthembela kumaphuzu okuba sengozini angawodwa. Izibukeli kufanele ziqaphe ukuthi amabhizinisi aqala ukusebenzisa ukubusa okuqinile ngaphezulu kwezimvume zomenzeli we-AI kanye nezinhlelo ze-plugin zenkampani yangaphandle ukuze kwehliswe ingcuphe yokujova ngokushesha okungaqondile kanye nokucwiliswa kwedatha okungagunyaziwe.

Buka ushintsho endleleni amaqembu okuvikela abeka ngayo kuqala ubungozi. Ukusuka kumamodeli e-CVE-centric kuya ekuhloleni ubungozi benethiwekhi, okuqaphela inethiwekhi kungenzeka kube umkhuba ojwayelekile wezinhlangano zokuphepha ezikhulile.

Gada ukuthuthukiswa kwamathuluzi okuvikela aklanyelwe ngokukhethekile ukuhlola izimvume zomenzeli we-AI futhi uthole imizamo yomjovo engaqondile, njengoba lezi zibonakala njengezikhala ezinkulu kusitaki sokuvikela ibhizinisi.

Qaphela indlela izinhlangano eziphatha ngayo 'izindawo eziyimpumputhe' ezihlotshaniswa nengqalasizinda ye-AI yomthombo ovulekile. Imboni ingase ibone ukuphusha kwezinqubo zokuhlola eziqinile zama-plugin e-AI nokuncika okufana namazinga okuphepha e-software akhona.

Imihlahlandlela ehlobene nemibuzo

Ama-AI AgentsUkuziphatha kwe-AIAmamodeli e-AI AchaziweHlola okwaziyo — zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela isilandeleli sokulawula i-AI
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