{"title":"生成式人工智能使欺诈和网络犯罪民主化","authors":"Danny Kadyshevitch","doi":"10.12968/s1361-3723(24)70018-9","DOIUrl":null,"url":null,"abstract":"Artificial intelligence has no intrinsic ethical stance. Everything depends on the uses to which it is put. This is leading to an arms race between threat actors, using generative AI and large language models (LLMs) to hone the effectiveness of phishing and other forms of attack, and security professionals looking to conscript AI into the effort to identify and interdict those attackers. What's certain is that no-one can ignore generative AI and LLMs, and it's important to understand both the threat and the potential for enhancing security.","PeriodicalId":503952,"journal":{"name":"Computer Fraud & Security","volume":"38 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generative AI has democratised fraud and cybercrime\",\"authors\":\"Danny Kadyshevitch\",\"doi\":\"10.12968/s1361-3723(24)70018-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence has no intrinsic ethical stance. Everything depends on the uses to which it is put. This is leading to an arms race between threat actors, using generative AI and large language models (LLMs) to hone the effectiveness of phishing and other forms of attack, and security professionals looking to conscript AI into the effort to identify and interdict those attackers. What's certain is that no-one can ignore generative AI and LLMs, and it's important to understand both the threat and the potential for enhancing security.\",\"PeriodicalId\":503952,\"journal\":{\"name\":\"Computer Fraud & Security\",\"volume\":\"38 12\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Fraud & Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12968/s1361-3723(24)70018-9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Fraud & Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12968/s1361-3723(24)70018-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generative AI has democratised fraud and cybercrime
Artificial intelligence has no intrinsic ethical stance. Everything depends on the uses to which it is put. This is leading to an arms race between threat actors, using generative AI and large language models (LLMs) to hone the effectiveness of phishing and other forms of attack, and security professionals looking to conscript AI into the effort to identify and interdict those attackers. What's certain is that no-one can ignore generative AI and LLMs, and it's important to understand both the threat and the potential for enhancing security.