search
HomeTechnology peripheralsAIHow AI solutions can protect against cyberattacks

How AI solutions can protect against cyberattacks

In part because hybrid and remote workplaces are the new normal for most businesses, the sophistication of cyberattacks and the risks they pose have grown rapidly over the past few years . In fact, these new ways of working open up a whole new set of phishing methods for threat actors.

It is estimated that global cybercrime is expected to grow at an annual rate of 15% over the next five years, causing losses of approximately US$10.5 billion by 2025.

The cyberspace is huge. Although hundreds of IT experts analyze threats every day, this is a difficult task. Because humans have limited ability to respond to emerging threats, new, faster and more effective technologies are needed. Artificial intelligence is a potential solution. In this article, I’ll review some common attack methods and how AI solutions can combat cyberattacks.

Domain Name Similarity

Cybercriminals have registered thousands of similar domain names, disguising themselves as well-known brands or trustworthy individuals, tricking victims into submitting sensitive certificates or conducting financial transactions. In this case, the hacker registered a domain name similar to the target company. They change URL names and create fake websites and email addresses by adding characters or replacing single letters. For example, "1" means "l" and "0" means "o". They can also use a series of letters, such as "vv" means "w" and "rn" means "m".

Spelling errors are another common tactic to trick the eye. Imagine if someone registered "gooogle.com" instead of "google.com" or "yahooo.com" instead of "yahoo.com".

Protecting businesses against lookalike domain attacks can be difficult, automation, machine learning and artificial intelligence, brand protection solutions have evolved to:

  • Custom algorithms sift through data sets, and Identify suspicious activity and malicious domains impersonating real companies.
  • The editor uses distance and image-based technology to pinpoint similar areas of real companies.
  • Monitoring tools to detect web attackers scraping content from legitimate websites.
  • Automatically trigger to quickly address threats before major damage occurs.

Impersonation and deception

Impersonation refers to cybercriminals using fake display names to impersonate legitimate businesses or individuals. Most email providers allow users to edit their display name, making it easy for hackers to trick victims into believing the email is legitimate. Impersonation spoofing is harder to detect when emails are read on a mobile phone.

Cybercriminals use impersonation to conduct crimes such as account takeovers, whaling, and CEO fraud. A successful name spoofing attack can result in financial losses, reputational damage, and compromised security.

Artificial intelligence solutions can combine predictive threat intelligence, machine learning, and advanced content analytics to detect impersonation attacks. The machine creates a baseline for regular email traffic, and any email that deviates from that baseline is considered unusual and malicious.

URL Detection

URL phishing is a growing threat in which cyber actors create a legitimate-looking website to trick victims into submitting sensitive login credentials. The 2021 Cybersecurity Threat Report stated that about 86% of companies have at least one employee who clicked on a phishing link.

Different methods based on deep learning and machine learning are introduced to protect against URL phishing. One of the ways artificial intelligence can detect URL phishing attacks is to use deep neural networks to discover unusual patterns in URLs. In this way, AI generates alerts that draw attention to suspicious URLs and stop cybercriminals in their tracks.

Artificial Intelligence in Cybersecurity

To combat these cyber threats, artificial intelligence solutions can leverage machine learning and recurrent neural networks. When a pattern of data typical of a phishing website is detected, the interconnected neurons fire together. Collect benign URLs and phishing URLs to create a dataset and identify content-based features. Combined with supervised machine learning, determine the probability that a website is legitimate or malicious.

All businesses are at risk of being attacked by cyber actors. Lookalike, name spoofing and phishing attacks can target any industry, including public administration, healthcare, pharmaceuticals, insurance, research and retail.

When it comes to lookalikes and name spoofing, AI solutions constantly examine domain names and names of organizations that appear to be logged in to uncover hidden patterns that indicate the company may be under spoofing attacks.

Taking phishing URL detection as an example, the algorithm can be trained on millions of phishing samples. Therefore, it detects phishing URLs based on thousands of features extracted from a single URL in a high-dimensional space.

It is difficult for humans to imagine four- or five-dimensional space, because to the human eye, the world is three-dimensional, but artificial intelligence can observe a one-dimensional space and draw conclusions based on it.

Despite these benefits, implementing functional AI solutions with high accuracy remains a challenge for most enterprises. To do this, businesses should consider these best practices.

1.AI models must be trained on real-world data in production. Businesses should start data collection long before developing AI solutions.

2. Enterprises should monitor how the characteristics of the data change over time. Pandemics or climate change may be changes worth tracking.

3. Enterprises should develop and use explainable artificial intelligence technology. Only explainable AI can not only spot phishing attacks but also reason about the origin of decisions.

The field of cyberattacks is getting bigger and bigger, and it’s still growing. Analyzing enterprise threats involves more than just human intervention. Enterprises need emerging technologies to support security teams.

Artificial intelligence is still new in the cybersecurity world, but its ability to learn new things, make informed decisions, and improve models is unparalleled because it can analyze large amounts of information and provide the information security professionals need data to enhance security and protect against cyberattacks.

The above is the detailed content of How AI solutions can protect against cyberattacks. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:51CTO.COM. If there is any infringement, please contact admin@php.cn delete
2023年机器学习的十大概念和技术2023年机器学习的十大概念和技术Apr 04, 2023 pm 12:30 PM

机器学习是一个不断发展的学科,一直在创造新的想法和技术。本文罗列了2023年机器学习的十大概念和技术。 本文罗列了2023年机器学习的十大概念和技术。2023年机器学习的十大概念和技术是一个教计算机从数据中学习的过程,无需明确的编程。机器学习是一个不断发展的学科,一直在创造新的想法和技术。为了保持领先,数据科学家应该关注其中一些网站,以跟上最新的发展。这将有助于了解机器学习中的技术如何在实践中使用,并为自己的业务或工作领域中的可能应用提供想法。2023年机器学习的十大概念和技术:1. 深度神经网

人工智能自动获取知识和技能,实现自我完善的过程是什么人工智能自动获取知识和技能,实现自我完善的过程是什么Aug 24, 2022 am 11:57 AM

实现自我完善的过程是“机器学习”。机器学习是人工智能核心,是使计算机具有智能的根本途径;它使计算机能模拟人的学习行为,自动地通过学习来获取知识和技能,不断改善性能,实现自我完善。机器学习主要研究三方面问题:1、学习机理,人类获取知识、技能和抽象概念的天赋能力;2、学习方法,对生物学习机理进行简化的基础上,用计算的方法进行再现;3、学习系统,能够在一定程度上实现机器学习的系统。

得益于OpenAI技术,微软必应的搜索流量超过谷歌得益于OpenAI技术,微软必应的搜索流量超过谷歌Mar 31, 2023 pm 10:38 PM

截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。 3月23日消息,外媒报道称,分析公司Similarweb的数据显示,在整合了OpenAI的技术后,微软旗下的必应在页面访问量方面实现了更多的增长。​​​​截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。这些数据是微软在与谷歌争夺生

超参数优化比较之网格搜索、随机搜索和贝叶斯优化超参数优化比较之网格搜索、随机搜索和贝叶斯优化Apr 04, 2023 pm 12:05 PM

本文将详细介绍用来提高机器学习效果的最常见的超参数优化方法。 译者 | 朱先忠​审校 | 孙淑娟​简介​通常,在尝试改进机器学习模型时,人们首先想到的解决方案是添加更多的训练数据。额外的数据通常是有帮助(在某些情况下除外)的,但生成高质量的数据可能非常昂贵。通过使用现有数据获得最佳模型性能,超参数优化可以节省我们的时间和资源。​顾名思义,超参数优化是为机器学习模型确定最佳超参数组合以满足优化函数(即,给定研究中的数据集,最大化模型的性能)的过程。换句话说,每个模型都会提供多个有关选项的调整“按钮

荣耀的人工智能助手叫什么名字荣耀的人工智能助手叫什么名字Sep 06, 2022 pm 03:31 PM

荣耀的人工智能助手叫“YOYO”,也即悠悠;YOYO除了能够实现语音操控等基本功能之外,还拥有智慧视觉、智慧识屏、情景智能、智慧搜索等功能,可以在系统设置页面中的智慧助手里进行相关的设置。

人工智能在教育领域的应用主要有哪些人工智能在教育领域的应用主要有哪些Dec 14, 2020 pm 05:08 PM

人工智能在教育领域的应用主要有个性化学习、虚拟导师、教育机器人和场景式教育。人工智能在教育领域的应用目前还处于早期探索阶段,但是潜力却是巨大的。

30行Python代码就可以调用ChatGPT API总结论文的主要内容30行Python代码就可以调用ChatGPT API总结论文的主要内容Apr 04, 2023 pm 12:05 PM

阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。 阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。使用 Python 和 C

人工智能在生活中的应用有哪些人工智能在生活中的应用有哪些Jul 20, 2022 pm 04:47 PM

人工智能在生活中的应用有:1、虚拟个人助理,使用者可通过声控、文字输入的方式,来完成一些日常生活的小事;2、语音评测,利用云计算技术,将自动口语评测服务放在云端,并开放API接口供客户远程使用;3、无人汽车,主要依靠车内的以计算机系统为主的智能驾驶仪来实现无人驾驶的目标;4、天气预测,通过手机GPRS系统,定位到用户所处的位置,在利用算法,对覆盖全国的雷达图进行数据分析并预测。

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!