Security Operation Centres (SOCs) are important in the protection of organizations against cyber threats. It identifies, warns about, and combats such threats in real-time. However, SOCs face tough challenges. They suffer from alert fatigue, which is a common challenge. They also suffer from a shortage of skilled workers, and they also have long decision-making processes. Only the increasing level and sophistication of threats exacerbate these concerns.
Both generative AI and agentic AI present new approaches to these concerns. These technologies automate routine tasks. They also promote anticipatory threat management and provide useful information. So, SOCs can function in a better way. Here, we’ll discuss the ways in which Agentic AI helps to strengthen SOC teams and provide safe and efficient performance in 2025.
Listen to our Podcast: How Is Agentic AI Transforming SOC Teams in 2025?
What are AI Agents?

AI agents are those systems that work on their own autonomy. They can also be able to communicate with their surrounding and gather data. With this information, they perform actions that are relevant to certain purposes of human beings. AI agents work on their own. They imitate intelligent behaviour in decision-making, problem solving and learning. Humans define what goals have to be reached, and AI agents decide on the means that will lead to their achievement.
Understand the fundamentals of Agentic AI in What is Agentic AI and How is it Revolutionizing Technology?.
How Does Agentic AI Work?
Agentic AI learns from past data. For example, it analyses past cyber threats. This is useful for it to know the way hackers work.
It makes decisions in real time. As a security system, it is very responsive to threats. It does not require a human to answer. Over time, Agentic AI improves. The more it operates, the more it is said to be intelligent.
Find out the risks enterprises should consider in What Should Enterprises Know About Agentic AI Risks?.
The Role of SOC Teams in Cybersecurity

Before discussing how Agentic AI is changing SOC teams, we should understand what SOC teams do.
What Is a SOC Team?
A SOC team is a group of specialists. They protect a company’s computer systems. Their tasks include:
- Monitoring: They watch for unusual activity on the network.
- Detecting: They identify if a cyber attack is happening.
- Responding: They take action to stop the attack and fix the issue.
- Preventing: They ensure that the same attack does not occur again.
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Challenges in Security Operations Centers
Recent findings from Trend Micro reveal that 70% of SOC analysts feel overwhelmed. They receive a high number of alerts daily. Furthermore, a report from Tines shows that 64% of these analysts consider leaving their jobs due to stress and burnout.
Plus, 72% of organizations worry about protecting sensitive data. This highlights the need for secure, privately hosted solutions. These solutions should use AI to tackle these challenges.
Dive deeper into the concept of Agentic Automation in What is Agentic Automation?.
How Agentic AI Is Helping SOC Teams in 2025

In 2025, Agentic AI is addressing many issues faced by SOC teams. Let’s explore how it is making a positive impact.
1. Faster Threat Detection
Agentic AI provides a key advantage: speed. It can analyze massive amounts of data in seconds, identifying threats that humans might overlook. For example, if a hacker tries to infiltrate a company’s system, Agentic AI can quickly recognize familiar attack patterns. It acts promptly to stop the intrusion before any damage occurs.
Learn how Agentic AI is used to build autonomous systems in How Can Agentic AI Help Build Autonomous Systems from Scratch?.
2. Automating Repetitive Tasks
SOC teams often spend significant time on repetitive tasks. These tasks might include checking logs or updating security rules. Agentic AI automates these processes, allowing team members to focus on more critical work. For instance, a SOC team may need to review 1,000 security alerts daily. Thanks to Agentic AI, it can manage 90% of these alerts. This automation leaves only the most serious alerts for the team to investigate. According to a report from 2025, companies using Agentic AI experienced a 70% drop in time spent on routine tasks.
Explore how Agentic AI is transforming financial industries in How Will Agentic AI Revolutionize Financial Services?.
3. Improving Accuracy
Humans can make errors, especially when they feel tired or stressed. Agentic AI has the advantage of always staying alert. It learns from its mistakes. This ability makes it more precise over time. A human might overlook a small detail in a log file. In contrast, Agentic AI can easily spot that detail and raise an alert. According to a study in 2025, Agentic AI cut down false positives by 50% compared to human analysts.
Want to understand the architecture behind Agentic AI? Read What Is the Baseline Architecture of Agentic AI Systems?.
4. Predicting Future Attacks
Agentic AI analyzes patterns to predict where future attacks might occur. This skill allows SOC teams to prepare and safeguard their systems ahead of time. For instance, if Agentic AI detects a rise in a certain type of attack, it can notify the SOC team and offer suggestions to strengthen their defenses.
Discover how LLM and Agentic AI compare in function and purpose in What is the Difference Between LLM and Agentic AI?.
FAQs
What challenges do SOC teams face that Agentic AI can fix?
SOC teams often deal with alert fatigue, staff shortages, and outdated systems that struggle with modern threats. Agentic AI helps by reducing manual workloads, boosting accuracy, and providing around-the-clock monitoring.
How does Agentic AI enhance threat detection and response times?
Agentic AI uses real-time data analysis and machine learning. It detects unusual activities quicker than humans can. It can also automate actions, like isolating compromised systems, which cuts down the mean time to the response by up to 52%.
What risks or limitations come with using Agentic AI in SOCs?
The main risks include a lack of clear decision-making, issues with data quality, and the necessity for human oversight, especially in complex situations. Poor integration with tools can also limit its effectiveness.
Which industries are using Agentic AI for cybersecurity?
Industries such as healthcare, finance, and e-commerce are leading the way in adopting Agentic AI. For example, healthcare systems utilize it for threat hunting, while e-commerce platforms rely on it for real-time attack prevention.
Curious about how Agentic AI differs from traditional AI? Learn more in Agentic AI vs. Traditional AI: Key Differences and Why It Matters.
Final Words
We truly believe that a happy Security Operations Center (SOC) is a more effective one. By using tools like automation, strong case management, and agentic AI, you can improve the experience for your SOC staff. This approach helps lower turnover rates, decrease burnout, and create a more engaged and proactive team.
Plus, it is important to build trust in AI by carefully assessing AI SOC solutions. Be sure to maintain transparency in the AI’s decision-making processes. Furthermore, adding guardrails and ensuring human oversight can increase trust. When your team can rely on AI for consistent guidance, you can effectively and efficiently expand your SOC operations.