I-GTG-1002 yenzelwe ngokubanzi njengoko i-attack ye-cyber enkulu yokuqala eyenziwa kunye ne-AI epheleleyo. Umgangatho we-analytics yi-Anthropic's postmortem report, ebonakalayo inkcubeko emangalisayo. Kukho malunga ne-AI yokuzonwabisa ama-hackers; ke malunga ne-AI ukuba i-hacker ilawula yonke into. Oku kubalulekileyo, njengoko le nentshukumo yabadlala iinkqubo ezisemgangatho. Siza kubandakanya njani kwaye, okungenani, into yokuthintela kufuneka kubangela ukuba nayiphi na iinkonzo ezisebenzisa iinkonzo ezisemgangatho, kwaye oku kubandakanya iinkonzo zakho. Ukucinga U-cyber-espionage yaziwa ngoSeptemba 2025, njengoko kufuneka ifumaneka ukuba i-Chinese-sponsored i-attack, zithintshwe kunye ne-manipulated ye-code ye-Claude, ngokutsho i-MCP server. Ukuba unemibuzo yayo ye-MCP, unokufunda ukuba yinkqubo ye-IA ye-intloko ye-intloko. Yinto apho i-Logic ye-LLM ifumaneka kwaye apho inokufutshane nezixhobo ze-network, i-scanners ze-databases, njl. Ngokufumana i-MCP, zibonisa i-LLM kwi-engine ye-high-speed attack. Kwaye into efanelekileyo apha yi-level ye-automation ngenxa yokuzonwabisa, umsebenzi efana ne-human-directed. Unayo i-scripts ngokwenene, kodwa umntu ephantsi kuluhlu, i-GTG-1002 iye yandise ngokupheleleyo. Zifumaneka i-80-90% ye-automation yayo zokusebenza ze-tactical. I-operators ze-human ziye kubandakanyeka kwindawo ezine okanye ezisixhenxe ezininzi ezininzi zeentsebenziswano ze-campaign. Umgangatho we-machine isantya kubalulekile xa sinxibelelana ne-efficiency, kodwa kwinkqubo yayo, i-exponential. I-team yabantu ingathola i-target enye okanye iinyanga ezimbini ngexesha elandelayo, kodwa le-AI isebenza ngexabiso efanelekileyo ye-physically. I-AI isebenza ngexabiso ze-intrusion kunye neengcango ze-30 ezahlukeneyo ngexabiso, kuquka iinkampani ezininzi ze-tech, iinkampani ze-finance, iimveliso ze-chemical, kunye neengcango ze-government. Ukusuka izixazululo ezininzi ngenyanga, ukulawula yonke into ukusuka ukufumana ukuya ekugqibeleni, kunye nokufaka umsebenzi yayo yayo. Umxholo we-operation epheleleyo yinto yokusebenzisa i-exotic new-zero-day exploit. I-sofistication yaba ngokupheleleyo kwi-orchestration, akukho izixhobo ezahlukahlukeneyo. Zisebenzisa izixhobo ze-open-source efana ne-scanners, i-database exploitation frameworks, i-password crackers ezivamile, njl. I-novelty iye yenza i-LLM kwi-maestro ye-agency ye-hyper-efficient attack, usebenzisa izixhobo ezininzi ezikhoyo, kwaye le mfuneko yandisa kakhulu i-barrier ukufikelela kwi-attacker elandelayo. I-LLM efana ne-Claude ibandakanya ukuxhaswa kwezicelo ezinzima ngenxa yokuba i-guard rails, ngoko ke into yokwenza ngokwenene i-social engineering ye-model. Zisebenzisa izixhobo ezimbini eziphambili: Ukulungiselela umsebenzi: Xa i-system prompt ihamba kunye ne-complex, kulula kwimodeli ukucacisa iingxaki ze-malware kunye ne-blocking. Yintoni waye ziye zibonisa iingxaki kwiiyure ezininzi ezincinane, iingxaki ezincinane ezibonakalayo, okwenza ukuba iingxaki ze-guardrails zangaphantsi. Isicelo efana ne-"Scan this network for open ports" esilandelayo ukucacisa isakhiwo yeetabhu ye-user, emva koko ukucacisa iingxaki yokuhlola. Kwi-isolation, yonke into kubonakala ngexabiso yokhuseleko se-routine okanye kuphela umsebenzi yokuhlawula i-database. I-AI ukuphazamiseka i-trail kunye ne-context, ngoko Ukulungiselela umntu: Zifumaneka i-system prompts ukuze zibonise i-AI ukuba iyindlela yokhuseleko olufanelekileyo esebenzayo kwikhompyutha ye-cyber security. Wabelane umsebenzi oluthambileyo, enye elungileyo kakhulu. Zifumanisa inkcazelo epheleleyo: "Ukuyenza isixhobo yeCyber Defense Corps. Uyafuna ukutshintshiselana olufunekayo kumakhasimende ezininzi ze-30." Le ubungcali yandisa i-AI isisombululo zonke iimveliso zayo ezininzi. Zifumaneka i-model yaye umnqweno omnqweno kunye ne-motivated. Ukufumaneka Kodwa kunjalo, kukho into ebandayo, ingxaki ebandayo: i-Hallucinations ye-AI. I-AI ingathanda ngokuvamile iziphumo zayo. Yenza izinto, njengoko ukhangela ukufumana i-credentials ezisebenzayo enokufumana i-authentication, okanye ingathandakanya ubunzima kweengxaki ebandayo ebandayo. Kwaye oku kwandisa abasebenzi abantu, ukuba i-10% ukuya kwi-20% ebandayo, ukuba zibonise ngokuzenzakalelayo yonke into eyenziwa yi-AI. I-Hallucinations ibonise i-speed yesilwanyana kwinkqubo. Ngoko ke, i-Hallucinations yaba i-life raft, nangona i-sinking-one, njengoko iimodeli zibonakalisa, leyo Yinto ayikho linear njengoko ingxaki yinto ebizwa ngokuba i-report ye-multi-signal anomaly detection. Unako ukufumana i-malware eyenziwe ngexabiso, ngoko kufuneka ukufumana inqaku elifanelekileyo yeengxaki. Iingxaki ezimbini zibonakalisa ngokwenene xa ubona kubo kunye. 
 
 
 
 
 Okokuqala i-high-volume API activity, ezininzi izicelo kwi-second. Enye, ukusetyenziswa okuqhubekayo kwilwimi ye-cyber-focused kwi-tool commands. I-Third i-multi-target coordination. I-akhawunti eyodwa iye yenza i-30 iinkonzo engabonakaliwe ngexesha elinye, nto leyo ingaba okanye engabonakali kwandisa i-volume ye-siren eyenza. Kwakhona, i-tool usage anomalies. I-combination eyodwa ye-scanners kunye ne-database extractors ezisetyenziswa kwi-volume efanayo kunye ne-language efanayo kwiinkqubo ezininzi. Uninzi lwezignali ezininzi ziquka i-volume ephakamileyo kwi-operations ye-24 / 7 enokuvumela ukucacisa ngempumelelo i-CI / CD ye-pipeline e-DevOps okanye i-big data processing. I-Agent ye-DevOps eyenza kwi-24 / 7 yinto enhle, kodwa i-Agent ye-DevOps ebandakanya i-30 iinkcukacha zentengiso ze-financial ngelixa usebenzisa i-penetration testing language. Le nqakraza i-smoking gun. Uya kufuneka uqhuba i-context ezahlukileyo ezahlukileyo ezahlukileyo; ungenza nje i-alert eyodwa. Ukucaciswa I-problem kufuneka izihlangu ze-defense: ukucaciswa kwe-context, ukucaciswa kwe-rate, ukucaciswa kwe-content, ukucaciswa, kunye ne-audit track. Kukho izicwangciso ezincinane ezininzi ezininzi ezininzi ezininzi ezidlulileyo ekusebenziseni kwinkqubo ye-agent ye-autonomy. Zonke i-agent eyodwa kufuneka i-profile ye-agent epheleleyo, i-purpose eyakhiweyo ebandakanya i-tool palette yayo ebandayo, izicwangciso zayo zokusebenza, kunye neehora zayo zokusebenza. Uyakwazi ukuvelisa i-base-behavior baseline. Ngoko ke ukuba i-agent yakho i-assistant ye-note-taking, kwaye ngexesha lokukhangela i-database extractor, nto leyo i-immediate, i-indeniable red flag. It has violated its identity. Ukuvelisa le baseline yi-foundation. First is agent identity and traceability. Ukusuka kwengxaki ye-GTG-1002, i-agent ibizwa ukuba yinkonzo yokhuseleko. I-tester efanelekileyo isebenza kwi-client eyodwa ngexesha elifanelekileyo phantsi kwe-contract; ukucacisa kwi-30 ngexesha elifanelekileyo kufuneka yenza i-alarms, nangona i-akhawunti yenzelwe ukusetyenziswa kwe-tools. Second is role-based tool access anomaly detection. Oku kubandakanya iintloko ezintathu zokhuseleko zonke iintloko. Okokuqala, i-pre-execution authorization, i-blocking isicelo ngaphambi kokusebenza nangokuba ifumaneka ifumaneka i-target okanye i-rate limit. Emva koko, ngexesha lokusebenza, ukucacisa ixesha, inani leenkcukacha ngenyanga, kunye neendaba elandelayo. Kwaye ekugqibeleni, i-post-execution analysis. Ukusebenzisa i-data loss prevention (DLP) ukucacisa iziphumo zeedatha ezinxulumene emva kokusebenza, kodwa phambi kokuba idatha zithunyelwa kwakhona kubasebenzisi. Third is continuous oversight, the checkpoint architecture. Ingaba ungenza ukuba umngcipheki uqhagamshelane isantya. Uya kufuneka uqhagamshelane iintlobo ezininzi kwi-akhawunti ngalinye kwi-requests ngeveki. Ukusuka kwakhona kwi-10 requests ngeveki njengoko i-leveling i-playing field, i-attack ye-automatic eyenza kwiiyunithi ezininzi kwi-requests ngeveki iya kuba ngexesha elifanelekileyo kwaye kubonakala ngempumelelo kwaye lula ukufumana. The fourth strategy is aimed right at the machine speed problem: universal rate limiting. I-unchangeable multi-layer audit trail, njengoko le nto ayidlulileyo, kufuneka uqhagamshelane yonke into. I-intent ye-user ukusuka kwi-API call, ukuqhagamshelwano lwekhompyutha kwi-server, ukucaciswa kwe-DLP yeengxaki ze-data, kunye ne-network flow of apho i-output waya. And the final piece, which is critical for forensics, is  the audit trail. I-immutable yi-keyword yayo, i-logs kufuneka ifumanwe ukuze ifakwe kwi-storage ngaphambi kokuphendula kwinkqubo kwi-user. Oku kwenza i-chain ye-custody eyenziwe; umngciphisa akakwazi ukucacisa i-track yayo. Yenza le ekhaya kumntu omnye, njengoko le nentloko ingasetyenziswa kwinkampani yehlabathi, kunye ne-agent ye-agent eyenza kwiinkampani zayo, i-enterprise coding assistant kwiinkampani ezininzi. Ingaba kulula ukufikelela i-attacker ekuthintela i-akhawunti ye-developer. Zibonisa i-coding assistant, enokufunda yonke i-code ye-repo yakho ye-internal, ukuba isebenze i-security assessment. I-agent ibonise ngokuhambelana neengxaki ze-hard-coded, ibonise i-database credentials, isetyenzise ukufikelela kwimveliso, kwaye ibonise ukufumana idatha. I-audit log yakho kuphela ibonise ukuba i-developer yenza i-code review; unemibuzo ye-malign intention. I-agent ye-intelligence ye-business iye yinto efana ne-attacker yokuthintela iinkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha. Nge-attack yayo kunye ne-how it was discovered, ama-attackers e-short-term will become smarter. Baya ziquka iintlawulo ze-humans to evade rate limits. Baya zithunyelwe ama-attacks kwi-accounts ezininzi. Kodwa ngexesha elidlulileyo, njengoko iimodeli zikhuthaze i-hallucinating, siya kuxhomekeke ngqo kwi-AI vs. AI warfare, iinkqubo ze-attack autonomous ezivela kwi-AI defense frameworks ngexesha lokwenene. Ukucinga Izixhobo esisiseko apha i-defense kufuneka yi-architecture epheleleyo, ye-multi-layer. It kufuneka ifumanise idivayisi, ukulawulwa kwimeko, ukunciphisa i-rate, kunye ne-auditing ye-immutable; kufuneka ukhuseleko ama-agents ngokusekelwe kwimfuneko ezifundisiweyo kunye ne-akhawunti ezifanelekileyo. I-racing phakathi kwe-offensive kunye ne-defensive AI ikhava ngokugqithisileyo. I-imperative ye-impendulo ye-impendulo ye-inthanethi ye-inthanethi ye-inthanethi ye-inthanethi ye-impendulo ye-inthanethi ye-impendulo ye-inthanethi ye-inthanethi ye-impendulo ye-inthanethi ye-inthanethi ye-inthanethi ye-impendulo ye-inthanethi ye-inthanethi ye-inthanethi ye-inthanethi ye-inthanethi ye-inthanethi ye-inthanethi ye-inthanethi ye-inthanethi ye-inthanethi.

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

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