4大优势，3个关键功能！论AI在网络安全领域的应用

The Future of AI in Cyber Security Testing: Unlock the Potential

AI在网络安全测试中的未来：释放潜力

　　 A model set of opportunities and obstacles have emerged with the advent of the digital age.Cyber security testing has become increasingly important as organizations look to protect their networks, data, and systems from malicious attacks.

随着数字时代的到来，机会和挑战并存。网络安全测试已经变得越来越重要，因为企业和机构组织希望保护网络、数据和系统免受恶意攻击。

　 As technology continues to evolve and become more sophisticated, artificial intelligence (AI) is tapped up as a way to improve cybersecurity testing. Although, AI has the potential to significantly reduce the time and effort needed to find and fix vulnerabilities, as well as to detect and respond to threats more quickly.

随着技术不断发展和变得错综复杂，人工智能 (AI) 被用作改进网络安全测试的一种方式。尽管如此，AI或能更快检测和应对威胁，大大减少了发现和修复漏洞所需的时间、精力。

　 AI can also help to identify patterns and uncover hidden threats that may have gone undetected. With AI driving the future of cyber security testing, organizations will have the tools they need to stay ahead of the curve and keep their data safe.

AI还可以帮助识别模式，发现可能未被发现的隐藏威胁。随着AI逐步推动网络安全测试发展，企业将拥有他们需要的工具，以保持行业领先性和数据安全性。

　　 Introduction to AI in Cyber Security Testing

　 网络安全测试中的 AI介绍

　 AI-based cyber security testing solutions use algorithms and machine learning to identify potential vulnerabilities and weaknesses in a network. By leveraging AI, organizations can detect and analyze malicious threats and suspicious activities more quickly and accurately than ever before. Moreover, AI-based solutions can also detect patterns in cyber security threats and provide insights into potential attack vectors.

基于AI的网络安全测试解决方案，使用算法和机器学习来识别网络中潜在的漏洞和弱点。通过利用AI技术，可以比以往更快速、更准确地检测分析恶意威胁和可疑活动。此外，基于AI的解决方案还可以检测网络安全威胁的模式，并提供对潜在攻击媒介的洞察。

　　 The advantages ofusing AI in cyber security testing are numerous. AI-based solutions can help organizations save time, money, and resources by identifying potential threats and vulnerabilities more quickly and accurately.

在网络安全测试中使用AI的优势有很多。基于AI的解决方案可以帮助企业通过更快、更准确地识别潜在的威胁和漏洞来节省时间、金钱和资源。

　　 Moreover, AI-based solutions can provide a more detailed and comprehensive analysis of security threats and vulnerabilities than their manual counterparts. This allows organizations to identify and mitigate current and future cyber security threats more effectively.

此外，基于AI的解决方案可以提供比手动解决方案更详细、更全面的安全威胁和漏洞分析。这使企业能够更有效地识别、缓解当前和未来的网络安全威胁。

　　 Advantages of AI in Cyber Security Testing

　　 人工智能在网络安全测试中的优势

　 One of the major advantages of using AI incyber security testing is its ability to detect and analyze anomalies. AI-based solutions can detect abnormal activities and patterns in data, which can help organizations identify potential cybersecurity threats and vulnerabilities.

在网络安全测试中使用AI的主要优势之一，是它能够检测和分析异常情况。基于AI的解决方案可以检测数据中的异常活动和模式，这可以帮助企业识别潜在的网络安全威胁和漏洞。

　 Another advantage is its ability to quickly and accurately identify malicious threats. By leveraging AI-based solutions, organizations can detect potential attacks before they occur and take the necessary steps to mitigate them.

另一个优势是它能够快速、准确地识别恶意威胁。通过利用基于AI的解决方案，企业可以在潜在的攻击发生之前检测到它们，并采取必要的措施来缓解。

AI-in-CyberSecurity — Image Credit: Provided by the Author

网络安全中的AI——图片来源：作者提供

1. Artificial Intelligence Gets Smarter Over Time

　　 1.AI随着时间的推移变得越来越聪明

　　 As it can gradually increase network security, artificial intelligence technology is more effective and sophisticated than its name might imply. Artificial intelligence uses machine learning and deep learning to understand more about the network behavior of an organization over time. They identify the patterns that are present on the network, and after doing so, the AI technology groups them together before moving on to determine whether any deviations from typical traffic or security incidents occurred. When it has finished processing the traffic, it reacts to them.

由于AI可以逐步提高网络安全性，AI技术比它的名字所暗示的更有效、更复杂。AI使用机器学习和深度学习来来了解更多关于一个组织在一段时间内的网络行为。它识别网络上存在的模式，然后AI技术将它们分组，然后再继续确定是否发生了任何偏离典型流量或安全事件。当它完成对流量的处理后，就会对它们做出反应。

　　 2. AI Aids in the Identification of Unknown Threats

　　 2.AI帮助识别未知威胁

　 Due to the rise in malware assaults and sophisticated social engineering, where attackers try new tactics to destroy the system, it becomes vital to transition to updated solutions to stop cyberattacks from damaging the system. Artificial intelligence combined with cyber security has shown to be one of the greatest combos for security technologies in terms of detecting and preventing unknown threats from destroying an organization’s network infrastructure.

由于恶意软件攻击和复杂化社会工程的增加，攻击者们正在尝试以新方法来破坏系统，因此，更新解决方案以阻止网络攻击破坏系统变得至关重要。AI与网络安全相结合，在检测和防止未知威胁破坏组织的网络基础设施方面，已被证明是安全技术的最大组合之一。

　　 3. AI Is Capable of Handling a Large Amount of Data

　 3.AI能够处理大量数据

　　 Artificial intelligence enters the scene to identify any potential risks that can be misconstrued as routine activities. It turns out to be the ideal option because it is so useful. It scans through huge amounts of data and examines the traffic to look for any potential risks because it automates, which enables it to do so.

AI进入现场，识别任何可能被误解为常规活动的潜在风险，它被证明是理想的选择。AI利用自动化扫描大量的数据，检查流量，寻找任何潜在的风险。

　　 A residential proxy is a piece of technology that uses artificial intelligence to facilitate data transfer. Additionally, it is capable of performing threat detection and identifying the flow of traffic.

住宅代理是一种使用AI来促进数据传输的技术。此外，它还能够进行威胁检测和识别流量。

　 4. Artificial Intelligence Is Better at Handling Vulnerability

　 4.AI更擅长处理漏洞

　 Artificial intelligence is quicker and can assist us in assessing our systems more quickly than cybersecurity personnel, which reduces our workload and increases our capacity for problem-solving by multiples. AI also identifies the weak spots in software operations and business networks, allowing organizations to concentrate on more crucial security-related tasks. This enables the timely security of corporate systems and the management of vulnerability.

AI比网络安全人员更快，可以帮助我们快速评估系统，以此减少工作量，成倍提高解决问题的能力。AI还可以识别软件运营和业务网络中的薄弱环节，使企业能够专注于更重要的安全相关任务。这使得企业系统的安全得到及时保障，并对漏洞进行管理。

　　 Moreover, AI-based solutions can provide real-time analysis of security threats and vulnerabilities. This allows organizations to respond quickly to any potential threats and take the necessary steps to protect their networks from attack. Finally, AI-based solutions can help organizations automate many of their cyber security testing processes, freeing up resources for other tasks.

此外，基于AI的解决方案可以提供对安全威胁和漏洞的实时分析。企业能够对任何潜在的威胁作出快速反应，并采取必要的措施来保护他们的网络免受攻击。最后，基于AI的解决方案可以帮助企业实现许多网络安全测试过程的自动化，为其他任务腾出资源。

　 Cybersecurity and AI: Three Key Functions

　　 网络安全和AI：三个关键功能

　 AI’s three key purposes in the domain of cybersecurity are as follows:

AI在网络安全领域的三个关键目的如下：

　　 Prediction: The prediction function is used the second most frequently. About 35% of businesses heavily rely on AI to foresee cyber attacks. Based on its training, the AI produces predictions by sifting through various data kinds.

预测：预测功能是第二常用的。大约 35% 的企业严重依赖AI来预见网络攻击。基于其训练，AI通过筛选各种数据类型来产生预测。

　 Businesses that use AI for the prediction can use the technology to automatically analyze their assets and network topology, pinpoint significant weaknesses, and constantly strengthen their network defenses against any potential catastrophic assaults.

使用 AI 进行预测的企业可以使用该技术自动分析其资产和网络拓扑，找出重大弱点，并不断加强其网络防御，防止任何潜在的灾难性攻击。

Detection:Organizations now heavily rely on AI to identify cyber threats. A strong usage rate for detection is present in more than 50% of organizations employing AI-based cybersecurity solutions. In detection, artificial intelligence (AI) uses behavioral analysis to identify unusual traffic continuously. This is one of AI’s distinctive features, enabled by machine learning or deep learning.

检测： 目前，各企业严重依赖AI来识别网络威胁。在采用基于人工智能的网络安全解决方案的组织中，超过 50% 的检测使用率很高。在检测中，AI使用行为分析来持续识别异常流量。这是 AI 的显着特征之一，由机器学习或深度学习实现。

　 Response:Last but not least, AI is still developing when it comes to defending against threats. Only 18% of businesses utilize AI extensively to defend against cyberattacks. This entails building new defense mechanisms in real-time or automating the development of a virtual patch for threat identification.

响应：最后同样重要的是，AI在防御威胁方面仍在发展。只有 18% 的企业广泛使用AI来抵御网络攻击。这需要实时构建新的防御机制或自动开发用于威胁识别的虚拟补丁。

　 Attacks may easily be detected and stopped in real-time using an AI response strategy. This solution shut down anomalous behavior that was brought on by bots, such as the use of stolen credentials or unauthorized purchases made on customer accounts.

使用 AI 响应策略，可以轻松地实时检测和阻止攻击。该解决方案关闭了机器人带来的异常行为，如使用被盗的凭证或在客户账户上进行未经授权的购买。

　 Regardless of how an enterprise employs AI for cybersecurity, it aids in reducing costs, improving threat reaction times, and responding to breaches.

无论企业如何将 AI 用于网络安全，它都有助于降低成本、缩短威胁反应时间，并对违规行为作出反应。

AI-Utilization-for-Organization-Cybersecurity. Image Credit: Provided by the Author.

AI在企业网络安全中的应用 图片来源：作者提供

　　 Challenges of AI in Cyber Security Testing

　 人工智能在网络安全测试中的挑战

　　 While the advantages of using AI in cyber security testing are numerous, there are also a fewchallenges to consider. One of the major challenges is the cost of implementing and maintaining AI-based solutions. AI-based solutions require a significant amount of resources, both in terms of hardware and personnel, and this can be a barrier for some organizations.

虽然在网络安全测试中使用AI的优势很多，但也需要考虑一些挑战。其中一个主要挑战是实施和维护基于AI的解决方案的成本。基于AI的解决方案需要大量资源，包括硬件和人员，这对部分企业来说可能是一个阻碍。

　 Another challenge is the complexity of AI-based solutions. AI-based solutions are often complex and require a considerable amount of time and resources to configure and maintain. Moreover,AI-based solutions require a great deal of training to be effective, and this can be a challenge for some organizations.

另一个挑战是基于AI解决方案的复杂性。基于AI的解决方案通常很复杂，需要大量时间和资源来配置和维护。此外，基于AI的解决方案需要大量的培训才能有效，这对一些企业来说可能是一个挑战。

　　 Finally, AI solutions are only as effective as the data is available. If the data used to train AI-based solutions is incomplete or inaccurate, the results may not be reliable. This can lead to false positives and false negatives, which can lead to ineffective or inaccurate security testing results.

最后，AI解决方案只有在数据可用的情况下才会有效。如果用于训练基于 AI 的解决方案的数据不完整或不准确，则结果可能不可靠。这可能会导致误报和漏报，从而导致无效或不准确的安全测试结果。

　　 AI-based Security Testing Services

　　 基于AI的安全测试服务

　　 There are many AI-based security testing solutions available on the market. Some of the most popular solutions include:

市场上有许多基于 AI 的安全测试解决方案。一些最受欢迎的解决方案包括：

　 ·Intrusion Detection Systems (IDS):- IDS are AI-powered systems that are used to detect and respond to malicious activities on a network. They use algorithms to analyze network traffic and identify suspicious activities.

·入侵检测系统 (IDS)： IDS 是AI驱动的系统，用于检测和响应网络上的恶意活动。他们使用算法来分析网络流量并识别可疑活动。

　　 ·Vulnerability Management Systems (VMS): VMS is an AI-powered system that is used to assess and identify potential vulnerabilities in a network. They use algorithms to scan for weaknesses in a network and provide recommendations for mitigating any potential threats.

·漏洞管理系统 (VMS)：VMS 是一种AI系统，用于评估和识别网络中的潜在漏洞。他们使用算法来扫描网络中的弱点，并提供减轻任何潜在威胁的建议。

　　 ·Behavioral Analytics:- Behavioral analytics are AI-powered systems that are used to detect and analyze suspicious user behavior. They use algorithms to monitor user activities and identify any potential malicious activities.

·行为分析：行为分析是AI驱动的系统，用于检测和分析可疑的用户行为。他们使用算法来监控用户活动并识别任何潜在的恶意活动。

　　 ·Security Auditing Systems:- Security auditing systems are AI-powered systems that are used to assess the security posture of an organization. They use algorithms to analyze networks and identify any potential weaknesses or vulnerabilities.

·安全审计系统：安全审计系统是AI驱动的系统，用于评估组织的安全状况。他们使用算法来分析网络并识别任何潜在的弱点或漏洞。

　　 These are just a few of the AI-based security testing solutions available on the market. Certainly, with the right AI-based security testing solution, organizations can gain a better understanding of their cyber security posture and reduce the risk of attack.

这些只是市场上可用的一些基于 AI 的安全测试解决方案。当然，借助正确的基于 AI 的安全测试解决方案，企业可以更好地了解他们的网络安全态势，减少攻击风险。

　 How to Leverage AI in Your Cyber Security Testing

　　 如何在网络安全测试中利用 AI

　 To leverage AI in your cyber security testing, it is important to understand the different types of AI-based security testing solutions available. Firstly, once you have a better understanding of the various AI-based solutions, you can begin to evaluate which solutions best meet your security needs.

要在网络安全测试中利用 AI，了解不同类型的基于AI的安全测试解决方案是很重要的。首先，一旦你对各种基于AI的解决方案有了更好的了解，你就可以开始评估哪些解决方案最符合你的安全需求。

　 When evaluating AI-based security testing solutions, there are several key factors to consider. These include:

在评估基于 AI 的安全测试解决方案时，需要考虑几个关键因素。这些包括：

　　 ·Cost:- It is important to evaluate the cost of implementing and maintaining AI-based security testing solutions.

·成本：评估实施和维护基于 AI 的安全测试解决方案的成本非常重要。

　　 ·Scalability:- It is important to evaluate the scalability of the AI-based security testing solution.

·可扩展性：评估基于 AI 的安全测试解决方案的可扩展性非常重要。

　 ·Accuracy:- It is important to evaluate the accuracy of the AI-based security testing solution.

·准确性：评估基于 AI 的安全测试解决方案的准确性非常重要。

　　 ·Ease of Use:- It is important to evaluate the ease of use of the AI-based security testing solution.

·易用性：评估基于 AI 的安全测试解决方案的易用性非常重要。

　　 By evaluating these factors, you can determine which AI security testing solution best suits your needs.

通过评估这些因素，可以确定哪种 AI 安全测试解决方案最适用。

　　 AI-Based Cyber Security Testing Use Cases

　　 基于人工智能的网络安全测试案例

　　 AI security testing solutions is useful in a variety of different use cases. Some of the most popular use cases include:

人工智能安全测试解决方案在各种不同的案例中都很有用。一些最流行的应用包括：

　　 ·Network Security Monitoring: AI-based security testing solutions can be used to monitor networks for malicious activities and suspicious behaviors.

·网络安全监控：基于AI的安全测试解决方案可用于监控网络中的恶意活动和可疑行为。

　 ·Vulnerability Detection and Remediation: AI-based security testing solutions can be used to detect and remediate potential vulnerabilities in a network.

·漏洞检测和修复：基于AI的安全测试解决方案可用于检测和修复网络中的潜在漏洞。

　　 ·Intrusion Detection and Prevention: AI-based security testing solutions can be used to detect and prevent malicious activities on a network.

·入侵检测和预防：基于AI的安全测试解决方案可用于检测和预防网络上的恶意活动。

·Security Auditing: AI-based security testing solutions can be used to assess the security posture of an organization.

·安全审计：基于AI的安全测试解决方案可用于评估企业的安全状况。

　　 By leveraging AI-based security testing solutions, organizations can gain a better understanding of their cyber security posture and take the necessary steps to protect their networks from attack.

通过利用基于 AI 的安全测试解决方案，企业可以更好地了解他们的网络安全态势，并采取必要的措施来保护他们的网络免受攻击。

　　 How to Improve Your AI-Based Security Testing Strategy

　 如何改进基于 AI 的安全测试策略

　　 To improve yourAI-based security testing strategy, it is important to understand the different types of AI-based security testing solutions available. Once you have a better understanding of the different AI-based solutions, you can begin to evaluate which solutions best meet your security needs.

要改进基于 AI 的安全测试策略，了解可用的不同类型的基于 AI 的安全测试解决方案非常重要。一旦更好地了解了不同的基于 AI 的解决方案，您就可以开始评估哪些解决方案最能满足安全需求。

　 Although, it is also important to evaluate the accuracy and scalability of your AI-based security testing solutions. This will ensure that you can accurately detect and analyze potential threats and vulnerabilities. Additionally, it is important to evaluate the cost of implementing and maintaining your AI-based security testing solutions. This will ensure that you can use the most cost-effective solutions for your needs.

尽管如此，评估基于 AI 的安全测试解决方案的准确性和可扩展性也很重要。这将确保可以准确地检测和分析潜在的威胁和漏洞。此外，评估实施和维护基于 AI 的安全测试解决方案的成本也很重要。这将确保可以使用最具成本效益的解决方案来满足需求。

　 Finally, it is important to ensure that yourAI-based security testing solutions are regularly tested and updated. This will ensure that the results are accurate and up to date. Additionally, it is important to ensure that your AI security testing solutions are properly configured and maintained. Altogether, this will ensure that they can detect and analyze potential threats and vulnerabilities.

最后，确保定期测试和更新基于 AI 的安全测试解决方案非常重要。这将确保结果准确且最新。此外，确保AI 安全测试解决方案得到正确配置和维护也很重要。总之，这将确保他们能够检测和分析潜在的威胁和漏洞。

　 The Future of AI in Cyber Security Testing

　 AI在网络安全测试中的未来

　 Thefuture of AI in cyber security testing is bright. As organizations continue to invest in AI-based security testing solutions, the technology will become more advanced and effective. AI-based solutions will become more efficient and accurate, allowing organizations to detect and analyze potential threats and vulnerabilities more quickly and accurately.

AI在网络安全测试领域前途无量。随着企业继续投资基于 AI 的安全测试解决方案，该技术将变得更加先进和有效。基于AI的解决方案将变得更加高效和准确，使企业能够更快、更准确地检测和分析潜在威胁和漏洞。

　 Moreover, AI-based solutions will become more cost-effective. As organizations continue to invest in AI-based security solutions, the cost of implementation and maintenance will decrease. This will make AI-based solutions more accessible to organizations of all sizes.

此外，基于AI的解决方案将变得更具成本效益。随着企业继续投资基于 AI 的安全解决方案，实施和维护成本将会降低。这将使各种规模的企业更容易获得基于AI的解决方案。

　 Finally, AI-based solutions will become more sophisticated. As organizations continue to invest in AI-based solutions, the technology will become more advanced and capable. This will allow organizations to more accurately detect and analyze malicious activities, as well as identify potential attack vectors.

最后，基于AI的解决方案将变得更加复杂。随着企业继续投资基于AI的解决方案，该技术将变得更加先进和强大。这将使企业能够更准确地检测和分析恶意活动，并识别潜在的攻击媒介。

　　 Conclusion

　 结论

　 In conclusion, AI-based solutions have quickly become an essential tool for testing and improving cybersecurity systems. AI-based solutions can help organizations save time, money, and resources by identifying potential threats and vulnerabilities more quickly and accurately. Moreover, AI-based solutions can provide real-time analysis of security threats and vulnerabilities and automate many of their cyber security testing processes.

总之，基于AI的解决方案已迅速成为测试和改进网络安全系统的重要工具。基于 AI 的解决方案可以更快、更准确地识别潜在威胁和漏洞，从而帮助组织节省时间、金钱和资源。此外，基于AI的解决方案可以提供安全威胁和漏洞的实时分析，并自动执行许多网络安全测试流程。

　　 When selecting an AI-based security testing solution, it is important to evaluate the cost, accuracy, scalability, and ease of use of the solution. Additionally, it is important to ensure that the AI-based security testing solution is regularly tested and updated. Finally, it is important to understand the different use cases for AI-based security testing solutions to determine which solution best meets your needs.

在选择基于 AI 的安全测试解决方案时，重要的是要评估解决方案的成本、准确性、可扩展性和易用性。此外，确保定期测试和更新基于 AI 的安全测试解决方案也很重要。最后，重要的是要了解基于 AI 的安全测试解决方案的不同用例，以确定哪种解决方案最能满足需求。

　 AI-based solutions have the potential to revolutionize the cybersecurity space. As organizations continue to invest in AI-based solutions, the technology will become more advanced and effective, allowing organizations to identify and mitigate current and future cybersecurity threats more effectively.

基于AI的解决方案有可能彻底改变网络安全领域。随着企业继续投资基于AI的解决方案，该技术将变得更加先进和有效，企业能够更有效地识别和缓解当前和未来的网络安全威胁。

　 If you want to stay ahead of the curve regarding cyber security, leveraging AI-based solutions is essential. By understanding the advantages, challenges, and use cases of AI-based security testing solutions, you can develop an effective AI-based security testing strategy and unlock the full potential of AI in cyber security testing.

如果想在网络安全方面保持领先地位，利用基于 AI 的解决方案至关重要。通过了解基于 AI 的安全测试解决方案的优势、挑战和用例，可以制定有效的基于 AI 的安全测试策略，并释放 AI 在网络安全测试中的全部潜力。

责任编辑：张薇