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Can Your Business Automate Its Ransomware Response?

2023-03-27
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Illustration: © IoT For All

Automated incident response tools allow IT security teams to rapidly detect and respond to cyber threats. Ransomware attacks get more common and more expensive every year. Businesses need to adopt new technologies to defend their data and customers.

Fortunately, security tools and strategies exist that can automate the process of identifying and stopping ransomware attacks. 

What is Automated Incident Response?

Automated incident response is a cybersecurity approach that automates aspects of threat detection, network monitoring, and the handling of suspicious activity. There are many types of automated incident response tools available, such as data analysis tools or artificial intelligence (AI) network monitoring. 

While not all aspects of incident response can be fully automated, implementing automation where possible can improve incident response times, reducing the potential negative impact of a cyber attack.

Rapid Incident Response Is Vital Today

Efficiency is especially important given the rising price and frequency of cyber attacks. The global cost of cybercrime rose over 900 percent from 2018 to 2022. Phishing and ransomware attacks have become particularly popular, and ransomware as a Service (RaaS) is increasing the availability of tools for cybercrime.

“The global cost of cybercrime rose over 900 percent from 2018 to 2022.“

-Zac Amos

Improving response times and threat monitoring is vital to defending against cyber attacks. One difficulty in stopping ransomware attacks is the sheer number of channels hackers can use to launch an attack. Ransomware can be delivered in malicious emails or websites, through malware, or from one infected device to another.

Human error plays a major role in cyber risks. Surveys show 23 percent of people who receive phishing messages open them. That means businesses need to monitor activity across their entire network and plan for spontaneous risk factors like an employee randomly receiving a phishing email. 

Automated Incident Response Tools and Tactics

With so many cybersecurity automation tools on the market today, it can be confusing to know where to start. A few key tools and tactics have proven highly effective in automating incident response processes. 

Machine Learning and AI

One of the most important tools in automated incident response is artificial intelligence. AI and machine learning are both becoming valuable technologies for defending against ransomware. Businesses can use AI for active network monitoring as well as security data analysis. 

AI algorithms are adept at pattern recognition, making them the perfect tool for detecting signs of suspicious network activity. For instance, a machine learning algorithm could be trained to recognize phishing emails and then deployed as an AI filter that automatically deletes or flags these suspicious messages. AI can similarly be used for identifying malicious software and unusual network traffic.

Businesses can also use machine learning and AI to automate their security data analysis. A major part of threat monitoring is identifying patterns, trends, vulnerabilities, and anomalies in network traffic data. AI’s pattern recognition skills are extremely useful for this task. In fact, many of today’s most popular automated incident response platforms use some form of AI data analysis. 

Data is pulled from a business’s network and collected into a digital hub where the AI processes it. The algorithm can convert large amounts of security data into useful data sets and graphs, showing key takeaways and insights. Assigning an AI to take over preliminary data analysis processes allows IT security personnel to conduct threat monitoring and network management tasks more efficiently.

AI is even useful in the aftermath of a cyber incident. Security personnel can use AI to quickly identify and analyze security information, such as log data and attacker activity. This will speed up the recovery process following a cyber attack. 

SOAR Tools and Methodology

In addition to identifying threats, businesses can automate responses to cyber incidents. This is the goal of Security Orchestration, Automation, and Response (SOAR). SOAR tools allow businesses to set standard, automated responses to cyber incidents. 

SOAR focuses on what happens after security personnel are notified about potential threats. It gives IT security teams additional automation tools they can use to handle low-level threats. That way, security personnel can concentrate their efforts on advanced threats. 

One example of a modern SOAR tool is Microsoft Sentinel, which uses automated “playbooks” to automate threat responses. IT security teams can build their own rulebook of desired responses to certain threats. From that point on, they won’t need to worry about taking manual action for specific types of threats. The SOAR tool will receive the threat notifications and automatically handle everything.

Benefits of Automated Incident Response

Automated incident response can be the perfect solution to combating the rising threat of ransomware. There are a few key reasons businesses should consider adopting it.

Minimized Cyber Incident Damage

One of the main benefits of automated incident response tools is a more immediate reaction to digital threats. Depending on the type of automated tools a business uses, they may be able to detect threats sooner and with a faster turnaround time. 

For instance, a business might have AI network monitoring tools in place. The AI has been trained to identify signs of suspicious activity, such as abnormal login IP addresses or unusual file access requests. It can monitor the network for this kind of activity around the clock, so it will detect potential threats right away. As soon as suspicious activity is detected, security personnel will be automatically notified. 

This system minimizes the potential amount of damage a hacker can do. If hackers manage to get into a business’s network, they may only have a few seconds before they’re stopped. A hacker can do significantly less in 60 seconds compared to hours or days. 

More Efficient Use of Time and Resources

Manually monitoring network activity can be complex and time-consuming. Even with a large IT security team, manual threat monitoring is a very involved process. Security personnel have to research and track intelligence, news and, emerging threats. They have to watch network traffic and analyze data whenever possible. 

Manual network monitoring is ultimately limited by the time and resources IT personnel are reasonably capable of providing. For most companies, it’s not feasible to have someone manually watch network traffic 24/7. It would quickly get expensive and be an inefficient use of valuable cybersecurity personnel. As of 2022, there is a shortage of 3.4 million cybersecurity employees, so businesses must make efficient use of the employees they have. 

Automated incident response allows smaller IT security teams to be more effective. Minimizing the number of manual tasks they have to do allows employees to put more effort into the most important tasks. This results in more resilient network security and maximizes the value of businesses’ investments in employees and security resources. 

Automating Ransomware Detection and Response

Ransomware and phishing attacks only continue to grow in popularity, but there are tools and strategies that can minimize the threat. Businesses can use automated incident response solutions like AI and SOAR tools to implement 24/7 monitoring and response. These technologies minimize the amount of manual input necessary for vital security measures. Businesses can automate cyber threat detection and response to stop ransomware in its tracks.

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  • Cybersecurity
  • Artificial Intelligence
  • IT and Security
  • Machine Learning

  • Cybersecurity
  • Artificial Intelligence
  • IT and Security
  • Machine Learning

参考译文
您的企业能够自动响应勒索软件吗?
自动化事件响应工具允许IT安全团队快速检测和响应网络威胁。勒索软件攻击每年都变得越来越普遍,成本也越来越高。企业需要采用新技术来保护他们的数据和客户。幸运的是,现有的安全工具和策略可以自动识别和阻止勒索软件攻击。自动事件响应是一种网络安全方法,可自动化威胁检测、网络监控和可疑活动处理的各个方面。有许多类型的自动化事件响应工具可用,如数据分析工具或人工智能(AI)网络监控。虽然并非事件响应的所有方面都可以完全自动化,但在可能的情况下实现自动化可以改善事件响应时间,减少网络攻击的潜在负面影响。鉴于网络攻击的价格和频率不断上升,效率显得尤为重要。从2018年到2022年,网络犯罪的全球成本增长了900%以上。网络钓鱼和勒索软件攻击已经变得特别流行,勒索软件即服务(RaaS)正在增加网络犯罪工具的可用性。“从2018年到2022年,网络犯罪的全球成本增长了900%以上。”改善响应时间和威胁监控对于防御网络攻击至关重要。阻止勒索软件攻击的一个困难是黑客可以用来发动攻击的通道数量之多。勒索软件可以通过恶意邮件或网站传播,也可以通过恶意软件传播,或者从一台受感染的设备传播到另一台设备。人为失误在网络风险中扮演着重要角色。调查显示,23%收到钓鱼信息的人会打开这些邮件。这意味着企业需要监控整个网络的活动,并为自发的风险因素做好计划,比如员工随机收到钓鱼电子邮件。如今市场上有如此多的网络安全自动化工具,不知道从哪里开始可能会令人困惑。一些关键工具和策略已被证明在自动化事件响应过程中非常有效。自动事件响应中最重要的工具之一是人工智能。人工智能和机器学习都正在成为防御勒索软件的有价值技术。企业可以使用人工智能进行主动网络监控以及安全数据分析。人工智能算法擅长模式识别,使其成为检测可疑网络活动迹象的完美工具。例如,可以训练机器学习算法识别钓鱼邮件,然后部署为人工智能过滤器,自动删除或标记这些可疑信息。人工智能同样可以用于识别恶意软件和异常网络流量。企业还可以使用机器学习和人工智能来自动化安全数据分析。威胁监控的一个主要部分是识别网络流量数据中的模式、趋势、漏洞和异常。人工智能的模式识别技能在这项任务中非常有用。事实上,当今许多最流行的自动事件响应平台都使用某种形式的AI数据分析。数据从企业网络中提取,收集到一个数字中心,由人工智能进行处理。该算法可以将大量安全数据转换为有用的数据集和图表,显示关键的收获和见解。分配人工智能来接管初步的数据分析流程,可以让IT安全人员更有效地执行威胁监控和网络管理任务。人工智能甚至在网络事件发生后也很有用。安全人员可以使用人工智能快速识别和分析安全信息,如日志数据和攻击者活动。这将加快网络攻击后的恢复过程。 除了识别威胁之外,企业还可以自动响应网络事件。这就是安全编排、自动化和响应(SOAR)的目标。SOAR工具允许企业设置标准,自动响应网络事件。SOAR关注的是安全人员接到潜在威胁通知后会发生什么。它为It安全团队提供了额外的自动化工具,可以用来处理低级别威胁。这样,安全人员就可以集中精力对付高级威胁。现代SOAR工具的一个例子是Microsoft Sentinel,它使用自动化的“剧本”来自动化威胁响应。IT安全团队可以建立自己的规则手册,以便对某些威胁做出所需的响应。从那时起,他们就不需要担心针对特定类型的威胁采取手动操作了。SOAR工具将接收威胁通知并自动处理一切。自动事件响应可以是对抗不断上升的勒索软件威胁的完美解决方案。企业应该考虑采用它有几个关键原因。自动化事件响应工具的主要好处之一是对数字威胁做出更即时的反应。根据企业使用的自动化工具的类型,他们可能能够更快地检测到威胁,并具有更快的周转时间。例如,企业可能有人工智能网络监控工具。人工智能经过训练,可以识别可疑活动的迹象,例如异常的登录IP地址或异常的文件访问请求。它可以全天候监控网络的这类活动,因此它会立即检测到潜在的威胁。一旦发现可疑活动,安全人员将自动收到通知。这个系统最大限度地减少了黑客可能造成的损害。如果黑客设法进入一家企业的网络,他们可能只有几秒钟的时间被阻止。与数小时或数天相比,黑客在60秒内所做的事情要少得多。手动监控网络活动可能既复杂又耗时。即使有一个大型IT安全团队,手动威胁监控也是一个非常复杂的过程。安全人员必须研究和跟踪情报、新闻和新出现的威胁。他们必须尽可能地监视网络流量并分析数据。人工网络监控最终受到IT人员能够合理提供的时间和资源的限制。对于大多数公司来说,让人全天候手动监控网络流量是不可行的。这将很快变得昂贵,而且是对宝贵的网络安全人员的低效利用。截至2022年,网络安全员工短缺340万,因此企业必须有效利用现有员工。自动化事件响应允许更小的IT安全团队更有效。尽量减少他们必须做的手工任务的数量,可以让员工把更多的精力放在最重要的任务上。这将带来更具弹性的网络安全,并使企业在员工和安全资源上的投资价值最大化。勒索软件和网络钓鱼攻击只会继续流行,但有一些工具和策略可以最大限度地减少威胁。企业可以使用AI和SOAR工具等自动事件响应解决方案来实现24/7监控和响应。这些技术最大限度地减少了重要安全措施所需的人工输入量。企业可以自动化网络威胁检测和响应,以阻止勒索软件的发展。
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