It was an incredible morning today, Sarah is known as the best SOC analyst in financial firms. As she is sitting on the chair, the sun is stunning, and she sips her coffee. There are a lot of alerts on the screen, flooding the security information and event management systems.
Sarah knows that I will fix the issues in the best manner but she has limited time and resources. But on the other hand, making the right decision felt overwhelming. When everything looks close then there’s artificial intelligence (AI) comes in place. AI plays a prominent role in handling and fixing all these issues.
In this digital market, various tools powered by AI-powered SOC are available online. These tools have been proven to be best for analyzing alerts and referring them to threat intelligence feeds.
In this fast cybersecurity landscape, volumes of data, coupled with the sophistication of modern attacks, make this a daunting task. Therefore, security operation centers face immense pressure to detect and analyze. In this comprehensive article, we will try to shed light on the factors in which AI enhances SOC analysts.
So be focused on exploring how AI is revolutionizing SOC (security operations centers) autonomous and various analysts to make smarter, faster, and more informed decisions.
How AI Enhances SOC Analysts’ Decision-Making?
Within minutes and minutes to seconds, she will be able to have issues and prevent the disaster. In this modern AI-powered SOC (security operations center) this practice becoming increasingly common and in this whole scenario, AI plays a crucial role. Have a deep look at the given below points:
Prioritizing Alerts with Contextual Insights
Challenge:
SOC experts are generally overwhelmed by the sheer volume of alerts, and these could be false. Sometimes these issues could be possible but false or low-priority incidents.
AI Solution:
Artificial intelligence is used to analyze high-risk alerts. In this way, we can reduce the cognitive load and analysts feel it easy.
Impact:
Analysts can focus on critical threats, improving response times and reducing the risk of missing important incidents.
Providing Real-Time Threat Intelligence
Challenge:
Without timely and accurate threat intelligence, experts and analysts of these security operating systems may struggle to understand the nature and scope of an attack.
AI Solution:
From multiple sources, artificial intelligence AI-powered SOC aggregates and analyzes threat intelligence. These may include global threat feeds, dark web monitoring, and internal logs.
Impact:
Here is most upcoming question is how analysts can make an informed decision. They can make an informed decision based on the threat data. In this way, we can enhance the ability of experts and analysts to detect and respond to attacks.
Enabling Proactive Threat Hunting
Challenge:
Traditional SOCs often operate in a reactive mode, responding to alerts rather than proactively searching for threats.
AI Solution:
There are a lot of strategies powered by machine learning programs. These are used to detect threats and help to make able to detect proactive threat hunting by analyzing historical data.
Impact:
We can say that these can reduce the risk of breaches. Various experts and analysts can detect and neutralize threats before they escalate by using AI-powered SOC.
Automating Routine Tasks
Challenge:
Analysts dedicate a considerable portion of their special time to routine activities and duties and also consumed by the repetitive tasks. These may include alert triage, log analysis, and incident documentation.
AI Solution:
Artificial intelligence automates the tasks that we have discussed above. These may be handled by using security orchestration, a response platform named SOAR, and automation systems.
Impact:
Analysts need to dedicate themselves to high-volume activities to detect threats. For enhancing the AI-powered SOC analyst’s expertise activities may be investigating complex threats and improving security postures.
Improving Accuracy with Behavioral Analytics
Challenge:
It is one of the high-volume challenges that is upcoming. This may be detecting threats, including attacks or zero-day exploits.
AI Solution:
Users and entity behavior analysts (UEBA) observe with the help of artificial intelligence and these system’s actions help to detect unusual patterns that might be harmful activity. Artificial intelligence leverages predictive analytics to identify threats before they are upcoming.
Impact:
Analysts can detect these upcoming issues and advanced threats if they get help from the AI. So we can say that with proper accuracy, experts can reduce the risks the undetected breaches.
Reducing Human Error
Challenge:
Human error is a core challenge that could prove high potential and this can lead to missed threats to incorrect responses.
AI Solution:
As AI already plays a core role in threat detection and helps a lot to the analysts. By using AI-powered SOC and different AI strategies, they can reduce the risks of errors and ensure consistency. It is a warm reminder that AI provides the analysts with a proper step-by-step guide by which the chance of errors is reduced.
Impact:
Experts make an informed decision to improve the overall security outcomes. In this way, we can overcome all the issues that may also be upcoming due to human inaccuracy.
FAQs About AI in SOC Decision-Making
How does AI improve the speed of decision-making in SOCs?
As we know AI automates repetitive tasks and also this can be used to provide real-time insights. It prioritizes the tasks and enables analysts to make their tasks faster and faster. By this, they can be able to make an informed decision.
Can AI replace human analysts in a SOC?
No, artificial intelligence does not replace analysts but can reduce the chances of error.
What are the risks of relying on AI in SOCs?
A lot of issues you can handle by using AI strategies. These potential issues could be false positives/negatives. By proper training and monitoring the issues, we can be able to overcome these.
Conclusion
By providing contextual insights, automating routine tasks, and enabling proactive threat hunting. The integration of AI-powered SOC into various operations is transforming how analysts detect, analyze, and respond to cyber threats. AI enhances analysts’ decision-making capabilities and empowers them to stay ahead of evolving threats.