What is a Security Operations Center (SOC)?

SOCs provide continuous monitoring, threat detection, and incident response.

If you’ve heard of a Security Operations Center (SOC), but never seen one, one might picture a huge, bustling control room with enough large screens to run a mission to Mars. 

The reality is often quite different – and it’s better to think of a SOC as a function rather than a room that could have been part of a movie set. It’s an operational capability, designed to reduce risk across an organization. Let’s explore what a SOC actually is and how it works.

Key points of this article:

• A SOC is an operational cybersecurity capability built around people, processes, and technology.

• They are particularly valuable for organizations with regulatory obligations or large IT and OT environments.

• Smaller organizations also benefit from SOC capabilities, but building and maintaining an in-house SOC can be costly.

• Outsourced and hybrid SOC services can provide many of the benefits of a SOC without the cost and complexity of building one from scratch.

SOC: A definition

In cybersecurity terms, a SOC exists to protect one or more organizations from cyber threats through continuous monitoring, detection, and response. Most SOCs operate around the clock, reflecting the fact that cyber threats don’t follow business hours.

SOC teams monitor networks, endpoints, applications, and cloud environments using a combination of telemetry, analytics, and threat intelligence. When suspicious activity is identified, analysts investigate and take action to contain or mitigate potential threats.  

Just like other complicated functions, at its core a SOC is built on three fundamental components: people, process, and technology. These three elements are often used together in many IT conversations, but it’s worth noting the part that isn’t: that big control room with enormous status screens. 

SOCs beyond IT: physical and operational environments

The concept of centralized monitoring is not unique to cybersecurity. Organizations with large physical environments (office buildings or factories) often operate central control rooms to monitor CCTV, site access and building infrastructure. 

A cybersecurity SOC plays a similar role, but across digital environments. Instead of physical access and facilities, it focuses on protecting IT systems, data, and services from unauthorized access and disruption. 

This distinction becomes increasingly important in environments that combine IT with Operational Technology (OT). OT is used to control and operate production lines and other large arrangements of machinery, converting electronic commands into physical movement. 

Traditionally isolated from IT networks, many of these systems are now connected to corporate networks and cloud services. This convergence expands the attack surface and introduces new risks, making SOC visibility across both IT and OT increasingly important.

Why a SOC matters

Simply put: computers are now more interconnected and hold more and more sensitive information. For many organizations it’s now critical to have a centralized capability for detecting, monitoring and responding to cyber threats, reducing the time between initial compromise and containment. 

Two key principles define SOC operations: continuous monitoring and rapid incident response. This is where a SOC differs from security specialists scattered across the IT team. Unlike distributed IT teams with competing priorities, a SOC provides a dedicated function focused on security.

Beyond pure detection and response, SOCs also contribute to broader operational outcomes. Activities such as asset visibility, patch awareness, and identity monitoring, while not traditionally viewed as security functions, play a critical role in reducing risk and improving overall cybersecurity posture.

SOCs handle increasing cybersecurity complexity

While point solutions like antivirus software are useful for individual PCs or very small businesses, as the number of connected devices in an organization grows, so does the number of potential entry points.

Network switches, IP cameras, servers and storage devices are all now powerful computers. Even the smart watch on an employee’s wrist can represent a vulnerability if connected to company Wi-Fi.

SOCs also centralize a great deal of security visibility and incident response. SOC staff orchestrate both the use of these tools and their adoption, reducing wasted purchases and eliminating tools that aren’t up to the job.

SOCs support regulatory & compliance requirements

In addition to operational benefits, SOCs play an important role in helping organizations meet regulatory requirements. Frameworks and regulations such as NIS2, DORA, HIPAA, and GDPR require organizations to demonstrate their ability to detect, manage, and report security incidents.

A SOC provides the processes, monitoring, and evidence required to meet these expectations. Importantly, it equips organizations to demonstrate that they are actively monitored and continuously improved.

The catch: Building a SOC is complex and expensive

Despite their value, SOC capabilities are difficult to build and sustain. Establishing a SOC requires significant investment in technology, skilled personnel, and operational processes. Of course, this investment must be maintained over time as threats evolve, and the presents a problem.

For many organizations, especially small and mid-sized businesses, building a full in-house SOC is not practical. As a result, alternative models such as outsourced or hybrid SOC services have become increasingly common.

What does a SOC do? Core functions of a SOC explained

The first and most important function of a SOC is preventative: reducing the likelihood of cyber attacks and reducing the impact of incidents. Importantly, no SOC has complete visibility. Analysts operate with partial data, requiring prioritization, correlation, and judgment to distinguish real threats from background activity.

The SOC team works both proactively to identify vulnerabilities, improve visibility, and reduce risk before incidents occur and reactively when they detect, investigate, and respond to active threats. The SOC is staffed around the clock, constantly looking for signs of attack. But they also work proactively to discover, document and reduce risk.

Continuous monitoring and detection

SOCs continuously monitor telemetry across networks, endpoints, cloud services, and identities, and ingest log files and alerts from devices and software across the company’s network. 

This continuous monitoring activity allows SOC analysts to spot suspicious behavior early, but it also allows the team to perform forensic analysis of how an attack unfolded, both during a response and during the after-action review. Understanding how an attack took place, and the techniques and approaches used by the attackers, helps improve defenses and close off weak points.

Detection, investigation, response and remediation

The most visible SOC activity occurs during active incidents. This includes detecting threats, investigating their scope, responding to contain them, and remediating any impact.

Effective response requires balancing speed and insight. Acting too quickly without context may disrupt investigation or tip off attackers, while delayed response increases risk. Skilled SOC teams must manage this tradeoff carefully.  

Threat Intelligence integration

SOCs use threat intelligence to add context to detections, helping analysts understand whether an alert is part of a wider attack pattern or campaign.

This intelligence is typically integrated through platforms or directly into detection systems, improving prioritization and enabling more informed decision-making. 

Asset visibility and risk awareness

An area that’s often missed is asset management, covering everything from cloud and SaaS service contracts to physical devices and software licenses. 

This maps out what the SOC needs to protect and also discovers hidden services and licenses. It’s worth noting that shadow IT can be a significant risk that SOCs help uncover, from undocumented SaaS licenses bought by individuals or departments through the use of personal devices to access sensitive data and, more recently, shadow AI. 

This last sees employees pasting or uploading confidential information to AI platforms without permission or even granting privileged access to AI tools. A further benefit to this activity is finding and either cancelling or repurposing software licenses that are going unused but are still being paid for.

The role of the SOC in regulatory compliance

SOCs play a huge role in compliance activities, often using security frameworks such as ISO 27001, SOC2, NIS2 or NIST CSF2 to meet the demands of regulations such as HIPAA, GDPR, DORA and other industry or sector-specific rules. 

This ability to meet regulatory requirements and bring the receipts in the form of logs and other monitoring and audit data adds significant value to the work the SOC does for the organization it protects.

ESET has achieved SOC2 Type 2 attestation in 2025, demonstrating continuous commitment to effectively safeguard customer data. 

SOC2 focuses on the controls organizations use to safeguard customer data, covering security, availability, processing integrity, confidentiality, and privacy. 

What does an operating SOC look like?

Physically, it can be as small as a couple of office desks, or as large as Mission Control in Houston, Texas. In terms of process and technology, however, it’s often a lot more complicated and intricate than first appearances suggest.

The scale of SOC operations can be difficult to visualize. Large environments generate enormous volumes of data, events, and alerts.

For example, public demonstrations such as “SOC in a Box” deployments at trade shows have shown that even short-term environments can generate billions of network events and thousands of security-relevant artifacts requiring analysis.

While these environments are not representative of every organization, they highlight the fundamental challenge SOCs are designed to address: separating meaningful signals from overwhelming volumes of data.

The SOC team: their roles and responsibilities

A SOC is built around specialized roles that work together to detect and respond to threats.

SOC analysts

SOC analysts form the core of the team, triaging alerts and investigating suspicious activity. Because of the volume of data generated by modern environments, distinguishing between false positives and real threats is a critical task.

Analysts are typically organized into tiers:

• Tier 1: monitoring and initial triage

• Tier 2: deeper investigation and analysis

• Tier 3: advanced incident response, threat hunting, and complex cases

Higher tiers require greater experience and specialization.

Detection and Response teams

During incidents, detection and response (D&R) teams coordinate actions to contain and mitigate threats. Effective response depends on understanding the broader context of an attack, rather than reacting to isolated alerts.

Premature or overly aggressive response may disrupt investigation or alert attackers, while insufficient response increases exposure. Balancing these factors is a key operational challenge.

Threat Hunting

Threat hunters are occasionally a separate part of the team, but it’s equally the case that all teams in a SOC participate in threat hunting activity. This requires a detailed understanding of the estate the SOC protects and the potential, specific vulnerabilities to which it might fall victim. 

Threat hunting involves proactively searching for signs of compromise that automated systems may not detect. It is typically hypothesis-driven, and informed by both threat intelligence and institutional knowledge of attacker behavior. 

Threat hunts are also an excellent means to overcoming alert fatigue, where analysts become burnt out from reactively triaging dozens or even hundreds of alerts each day in an attempt to find the proverbial needle in a haystack.

SOC engineers and management

Two other groups perform valuable roles in a SOC: SOC engineers are in charge of the technology, data feeds and tools used by the SOC, maintaining, upgrading and improving all of these constantly. 

SOC leadership defines strategy, manages resources, and is accountable to organizational stakeholders. Increasingly, this includes demonstrating measurable business value and aligning SOC operations with broader risk management objectives.

SOC technologies – SIEM, SOAR, EDR and more

Modern SOCs no longer operate as collections of isolated tools. Instead, they rely on integrated platforms that correlate telemetry across endpoints, identities, networks, and cloud environments, supported by automation and threat intelligence. Within this model, different technologies play distinct roles. 

Security Information and Event Management (SIEM)

SIEM platforms focus on the ingestion and processing of logs and events from across the organization’s environment, supporting detection, investigation, and compliance use cases.

While SIEM platforms remain a core component of many SOCs, primarily for log aggregation, correlation, and compliance reporting, they are increasingly complemented or partially replaced by XDR platforms that provide deeper cross-domain detection and response capabilities.

Security Orchestration, Automation, and Response (SOAR)

SOAR platforms complement these systems by automating and orchestrating repetitive triage and response tasks through predefined playbooks, improving consistency but still requiring human oversight for complex decisions. 

Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR)

At the detection layer, modern SOCs increasingly rely on endpoint and extended detection platforms rather than raw log analysis alone. EDR focuses on monitoring, detecting, and responding to activity on endpoints such as user devices and servers, providing deep visibility and endpoint-level response capabilities.

In many modern environments, XDR acts as the primary detection and response layer, correlating telemetry across endpoint, identity, network, cloud, and SaaS environments. By linking signals across these domains, XDR platforms can reconstruct and correlate attack activity into unified incidents, enabling faster, context-rich investigation and response.

Around this core detection layer, additional technologies provide telemetry, context, and domain-specific capabilities that enhance overall visibility.

Additional specialized tools

Network detection (NDR), vulnerability and patch management (V&PM), and intrusion detection systems (IDS) contribute telemetry and specific controls, but increasingly operate as data sources feeding centralized detection platforms rather than standalone decision engines.

User and Entity Behavioral Analytics (UEBA)

Behavioral analytics (often referred to as UEBA) is now typically embedded within XDR and SIEM platforms, enabling detection of anomalies in user, system, and application behavior. This helps identify subtle signs of compromise, particularly in cases where attackers use legitimate tools or credentials.

Threat Intelligence Platforms (TIPs)

Threat intelligence platforms (TIPs) aggregate and manage intelligence feeds, but their real value lies in integrating contextual intelligence directly into detection and response workflows across SIEM, SOAR, and XDR systems.

TIPs typically ingest multiple Threat Intel feeds from vendors, government organizations and specialized threat intelligence providers, as well as data from ISACs (Information Sharing and Analysis Centers) established by specific industries to share threat intelligence with peer organizations. For example, FS-ISAC supports intelligence-sharing across the financial services sector, helping organizations align their defenses against emerging threats.

TIPs and similar intelligence feeds and tools feed into a broader framework referred to as Cyber Threat Intelligence (CTI).

Zero Trust models

Although Zero Trust is an architectural model and not a technology per se,  it shapes how access, identity, and monitoring policies are enforced across the environment.

Increasingly, the use of Zero Trust models, where devices and users must authenticate themselves when accessing information and are only allowed access on an as-needed basis, help prevent attackers from moving laterally within networks, as well as automatically locking out compromised devices and user accounts. 

Cloud and SaaS

Modern cloud and SaaS environments act as major telemetry sources for SOC platforms, providing identity, activity, and configuration data that is critical for detection and response.

Artificial Intelligence capabilities: Large Language Models (LLMs) and Machine Learning (ML)

Finally, AI is increasingly applied in SOCs to prioritize alerts, detect behavioral anomalies, reduce noise, and assist investigation. However, it is a capability that augments, rather than replaces, human analysts. 

AI is becoming a core element of modern security operations, but its role is still evolving. Data from ESET’s SMB Cybersecurity Readiness Index 2026 shows that 73% of organizations are already integrating AI into their security operations, primarily to anticipate threats and accelerate response and mitigation. At the same time, 70% recognize that AI introduces new risks, and those with formal AI policies report higher incident rates, highlighting the complexity of adopting AI safely.

This reflects a broader shift: AI is barely a standalone solution, it’s a force multiplier. When combined with high-quality telemetry, threat intelligence, and human expertise, it helps reduce noise, prioritize alerts, and accelerate investigation rather than replacing analysts outright.

It’s worth noting that most cyber security vendors and practitioners have used and are familiar with Machine Learning (ML) as part of their SOC, CTI and IR toolkits. ML is excellent for automation and pattern matching, reducing the cognitive load for analysts. LLMs, which are behind the current popularity and explosive growth of AI tools, add extra capabilities to the portfolios of both attackers and defenders.

Common SOC challenges

A SOC is not without its challenges. In addition to the cost and complexity of building and maintaining one, analyst fatigue is a significant and persistent issue. High alert volumes, shift-based work, and the pressure to respond quickly to potential threats increase the risk of burnout and can impact detection quality over time.

At an operational level, the constantly evolving threat landscape and the ongoing arms race between attackers and defenders require continuous adaptation. SOC teams must regularly update tools, detection logic, and processes, while analysts must stay current with emerging attack techniques and adversary behaviors.

AI is also a growing factor in the threat landscape. One of the most practical uses of AI for attackers is automating time-consuming tasks that previously required significant manual effort. This includes reconnaissance, profiling potential targets, and generating more convincing phishing or social engineering content. AI can also enable faster iteration and adaptation during attacks, allowing adversaries to operate at greater scale and speed.

Finally, cost remains a major challenge, both in terms of tooling and in sustaining skilled teams. This creates an ongoing organizational challenge for SOC leaders, who must continuously demonstrate the value of security operations in measurable terms, such as reduced risk, faster response times, and minimized business impact. 

Best practices

Most SOC best practices revolve around balancing the three core elements of people, process, and technology. Misalignment between these areas typically results in inefficiencies, increased risk, or both.

It is essential to align SOC strategy with the broader goals of the organization. This means clearly understanding which assets are most critical, where the greatest risks lie, and which threats are most relevant to the organization and its sector. SOC performance should also be measured in terms that resonate with business stakeholders, such as risk reduction, operational resilience, and impact on critical services.

Given the volume of alerts modern environments generate, automation should be applied wherever it can reduce manual workload without sacrificing visibility or control. Reducing analyst fatigue is a cost and effectiveness consideration as burnout leads to missed signals, slower response, and increased operational risk.

Proactive activities such as threat hunting, scenario-based exercises, and regular playbook testing are equally important. These practices improve detection capabilities, build institutional knowledge, and reduce reliance on reactive alert handling.

Finally, continuous improvement is essential. This includes ongoing investment in analyst training, regular updates to processes and playbooks, and systematic evaluation of the tools and platforms in use. SOC effectiveness depends on the ability to evolve in line with the threat landscape and organizational needs.

FAQs

What is a Security Operations Center (SOC)?

A SOC combines processes and technology to monitor, investigate and respond to cyber threats, usually on a continuous, round-the-clock, basis. It can be built and operated by the organization it protects, or outsourced in full or in part. Its central task is to shorten the gap between an attack and a successful response to that attack.

What’s the difference between a SOC and a SIEM?

A SIEM is one of several tools used by SOCs to defend against attacks. It’s often conflated with a SOC because it is a core central tool that helps ingest data and develop a response. You can have a SIEM without a SOC. In short: A SOC is a combination of people, process and technology, and one of those technologies is the SIEM.

How does a SOC support NIS2 compliance? 

NIS2 requires organizations that fall under its remit7 to have measures for monitoring, handling and reporting incidents. Most organizations subject to NIS2 meet that operational expectation using some form of SOC capability. But while a SOC supports compliance, it is only one part of the capability needed to deliver it.