AI ni Idanwo Awọn isẹ Cybersecurity

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Kini wiwa-orisun anomaly ṣe ti iṣawari ti o da lori ibuwọlu ko ṣe?
   • O nikan ṣe idiwọ awọn ọlọjẹ ti a mọ nipasẹ itẹka wọn
   • O kọ ẹkọ ihuwasi deede ati ṣe afihan awọn iyapa lati ọdọ rẹ
   • Ko nilo data lati ṣiṣẹ
   • O mu nẹtiwọki ṣiṣẹ lakoko awọn ọlọjẹ
2. Kini UEBA duro fun ni awọn iṣẹ aabo?
   • Olumulo ati Awọn Itupalẹ Ihuwa Eniyan
   • Gbogbo ìsekóòdù Afẹyinti alugoridimu
   • Isokan Endpoint Afẹyinti Ohun elo
   • Wiwọle ẹrọ aṣawakiri ita ti a ko gbẹkẹle
3. Kini idi ti awọn idaniloju eke jẹ iṣoro pataki fun AI ni SOC kan?
   • Wọn jẹ ki awọn awoṣe ṣiṣẹ ni iyara
   • Wọn mu išedede wiwa dara si
   • Awọn atunnkanka bẹrẹ aibikita awọn itaniji ti awọn itaniji eke ba pọ ju
   • Wọn nilo nipasẹ ilana
4. Which misuse did the NCSC’s 2024 AI cyber-threat assessment discuss as a social-engineering concern?
   • Automatic elimination of all attacker errors
   • A requirement that attackers use no human expertise
   • A guarantee that every AI output contains malware
   • Assistance producing more persuasive phishing material
5. Kini eewu bọtini kan ti gbigbekele awọn atukọ aabo AI ti o ni agbara nipasẹ awọn LLM?
   • Wọn le ṣe ifọwọyi nipasẹ abẹrẹ kiakia
   • Wọn ti nsare ju idakẹjẹ
   • Wọn jẹ ki awọn nẹtiwọki ko ṣee ṣe lati lo
   • Wọn yọkuro iwulo fun aabo eyikeyi rara
6. What does automated containment mean in a security-response workflow?
   • Guaranteeing every threat is detected before damage
   • Only writing a quarterly summary
   • Taking a configured action such as isolating a host when the workflow’s conditions are met
   • Making analyst permissions unnecessary
7. A behavior model flags a legitimate overnight backup as unusual data transfer. What does this example illustrate?
   • Every unusual transfer proves an intrusion
   • Normal backups cannot appear in security logs
   • Behavior scores automatically determine malicious intent
   • An anomaly can be a false positive and needs investigation
8. An AI incident summary names a compromised account that the logs do not support. What should the analyst do?
   • Revoke every account because generated text is authoritative
   • Check the underlying evidence before acting on the generated claim
   • Delete the logs to match the summary
   • Treat fluent wording as proof of compromise