{"id":8497,"date":"2021-03-22T14:25:05","date_gmt":"2021-03-22T14:25:05","guid":{"rendered":"https:\/\/198.27.90.141\/?p=8497"},"modified":"2026-09-29T18:36:18","modified_gmt":"2026-09-29T18:36:18","slug":"inteligencia-artificial-e-machine-learning-email","status":"publish","type":"post","link":"https:\/\/gatefy.com\/pt-br\/blog\/inteligencia-artificial-e-machine-learning-email\/","title":{"rendered":"Por que usar intelig\u00eancia artificial e aprendizado de m\u00e1quina para prote\u00e7\u00e3o de e-mail?"},"content":{"rendered":"

Com certeza, a intelig\u00eancia artificial (IA) e o aprendizado de m\u00e1quina (em ingl\u00eas: machine learning, ML) est\u00e3o entre as melhores solu\u00e7\u00f5es para prevenir e combater amea\u00e7as cibern\u00e9ticas, golpes e fraudes.<\/p>\n

Quando se trata de seguran\u00e7a de e-mail, ent\u00e3o, que continua sendo o principal vetor de ataques, a intelig\u00eancia artificial e o machine learning tornam-se essenciais.<\/p>\n

O que torna a IA e o ML t\u00e3o importantes no mundo digital, especialmente na prote\u00e7\u00e3o de e-mail, \u00e9 justamente a mudan\u00e7a no comportamento dos cibercriminosos.<\/p>\n

De ataques massivos a ataques direcionados de e-mail<\/h2>\n

No passado, poder\u00edamos usar a palavra “bulk<\/a>” ou \u201cem grande volume\u201d para definir o tipo de ataque prevalecente. As campanhas eram criadas quase que exclusivamente com foco em um grande n\u00famero de pessoas, seguindo a filosofia do “quanto mais pessoas eu alcan\u00e7ar, melhor”.<\/p>\n

N\u00e3o estou dizendo que os ataques em massa n\u00e3o existem mais. Eles existem, com certeza. Sabemos que, por exemplo, no caso de e-mails, milhares de\u00a0campanhas de spam<\/a>\u00a0s\u00e3o criadas todos os dias para alcan\u00e7ar milh\u00f5es de pessoas.<\/p>\n

Mas agora h\u00e1 outro fator. O modelo de ataque em massa abriu espa\u00e7o para o modelo de ataque especializado.<\/p>\n

\u00c9 por isso que no mundo da seguran\u00e7a da informa\u00e7\u00e3o ouvimos e lemos express\u00f5es como “prote\u00e7\u00e3o contra ataques direcionados”,\u00a0“BEC” (Business Email Compromise)<\/a>\u00a0e\u00a0“spear phishing”<\/a>.<\/p>\n

Em um relat\u00f3rio deste ano, por exemplo, o FBI apontou o BEC (Business Email Compromise) como a amea\u00e7a mais devastadora para empresas e organiza\u00e7\u00f5es. Estima-se que apenas os\u00a0ataques de BEC resultaram em perdas de USD 26 bilh\u00f5es nos \u00faltimos anos<\/a>.<\/p>\n

Isto tudo significa que os hackers est\u00e3o estudando melhor as suas v\u00edtimas e usando diferentes t\u00e9cnicas, incluindo a\u00a0engenharia social<\/a>.<\/p>\n

Os cibercriminosos mudam, as tecnologias mudam e os sistemas de prote\u00e7\u00e3o tamb\u00e9m mudam. O antigo modo de combater amea\u00e7as usando apenas sistemas est\u00e1ticos baseados em regras e assinaturas j\u00e1 n\u00e3o funciona mais t\u00e3o perfeitamente.<\/p>\n

\u00c9\u00a0aqui\u00a0que entra a intelig\u00eancia artificial e o machine learning.<\/p>\n

Intelig\u00eancia artificial e machine learning aplicados na seguran\u00e7a de e-mail<\/h2>\n

Novos problemas e novas situa\u00e7\u00f5es exigem novas solu\u00e7\u00f5es.<\/p>\n

As empresas mais modernas de seguran\u00e7a da informa\u00e7\u00e3o usam IA e ML para identificar desvios e anomalias, e combater novos tipos de amea\u00e7as e ataques que surgem todos os dias.<\/p>\n

N\u00e3o sei se voc\u00ea sabe, mas o e-mail \u00e9 a plataforma mais usada pelos cibercriminosos para ataques. Um relat\u00f3rio da Verizon aponta que\u00a0cerca de 94% das viola\u00e7\u00f5es envolvendo malware ocorrem por meio do uso de e-mail<\/a>. Este \u00e9 um n\u00famero significativo para exemplificar a explora\u00e7\u00e3o de e-mails.<\/p>\n

Agora, a pergunta \u00e9: mas qual \u00e9 o papel da intelig\u00eancia artificial e do machine learning na seguran\u00e7a de e-mail?<\/p>\n

O ML est\u00e1 por tr\u00e1s dos algoritmos que examinam grandes volumes de dados e permitem que a intelig\u00eancia artificial evolua e aprenda cada vez mais.<\/p>\n

Assim, no caso de seguran\u00e7a de e-mail, a m\u00e1gica da IA e do ML \u00e9 entender, detectar e filtrar e-mails leg\u00edtimos, e-mails maliciosos e e-mails potencialmente perigosos.<\/p>\n

Por meio de uma varredura de e-mail completa, por exemplo, um sistema baseado em IA e ML pode analisar a inten\u00e7\u00e3o de uma mensagem e indicar um comportamento, o que facilita a detec\u00e7\u00e3o de uma amea\u00e7a.<\/p>\n

\u00c9 por isso que a IA e o ML s\u00e3o uma boa resposta a ataques direcionados, como o BEC.<\/p>\n

Agora voc\u00ea j\u00e1 sabe como e por que a intelig\u00eancia artificial e o machine learning s\u00e3o recursos importantes para seguran\u00e7a de e-mail e prote\u00e7\u00e3o de empresas.\u00a0Se voc\u00ea tiver alguma d\u00favida,\u00a0entre em contato conosco<\/a>.<\/p>\n

Aqui na Gatefy somos especialistas em seguran\u00e7a de e-mail e loucos por esse assunto. Se desejar, d\u00ea uma olhada em nossas solu\u00e7\u00f5es de prote\u00e7\u00e3o de e-mail para empresas:\u00a0Gatefy Email Security<\/a>\u00a0e\u00a0Gatefy Anti-Fraud Protection (DMARC)<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Com certeza, a intelig\u00eancia artificial (IA) e o aprendizado de m\u00e1quina (em ingl\u00eas: machine learning, ML) est\u00e3o entre as melhores solu\u00e7\u00f5es para prevenir e combater amea\u00e7as cibern\u00e9ticas, golpes e fraudes. Quando se trata de seguran\u00e7a de e-mail, ent\u00e3o, que continua sendo o principal vetor de ataques, a intelig\u00eancia artificial e o machine learning tornam-se essenciais. […]<\/p>\n","protected":false},"author":4,"featured_media":8501,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,35],"tags":[],"class_list":["post-8497","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-education"],"yoast_head":"\nIntelig\u00eancia artificial e machine learning para prote\u00e7\u00e3o de e-mail - Gatefy<\/title>\n<meta name=\"description\" content=\"Quando se trata de seguran\u00e7a de e-mail, que \u00e9 o principal vetor de ataques, a intelig\u00eancia artificial torna-se essencial. 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