Security Operation Centres (SOCs) are a crucial component of modern-day enterprises and organisations. As the number of cybercrime cases continues to escalate, all stakeholders responsible for security need to evolve and develop new ways of securing their organisation’s assets. This calls for integrating newer technologies to improve and scale up activities in the security operations centres.
Over the years, SOCs have evolved significantly, from manual monitoring and response to using advanced technology and Artificial Intelligence (AI) to streamline security operations. Several fundamental technologies, including IoT, AI, machine learning, and cloud computing, have all been crucial in the evolution of SOCs.
In this article, we will explore the evolution of SOCs and examine the key advancements that have led to the modern SOC model of AI-powered automation. By the end of this article, you will have a better understanding of how SOC technology has advanced and how AI-powered automation is changing the landscape of security operations.
Without any further ado, let’s delve right in!
What is a security operations centre?
It refers to a centralised function within an organisation or enterprise whose goal is to detect security threats and ensure the organisation’s IT infrastructure is safe at all times. A SOC is typically staffed by a team of security analysts and other IT experts who are responsible for detecting, investigating, and responding to security incidents.
The SOC team is also responsible for developing strategies that can be implemented to prevent similar threats from occurring in the future. Ultimately, the main objective of a SOC is to maintain the confidentiality, integrity, and availability of an organisation’s critical assets, including data, networks, and applications.
This is achieved through continuous monitoring of the organisation’s security posture, including the use of security tools and technologies, such as intrusion detection and prevention systems, firewalls, and security information and event management (SIEM) platforms. The SOC team’s ability to detect and respond to security incidents quickly and effectively can have a significant impact on an organisation’s ability to prevent or minimise the impact of a security breach.
Core roles of a security operations centres
Before discussing how SOCs have evolved over the years, let’s share some of their core roles;
- Monitoring the organisation’s assets: The SOC team needs to use all the tools availed to them to monitor all operations on the organisation’s IT infrastructure. This is usually done using automated security tools, such as intrusion detection and prevention systems (IDPS) and Security Information and Event Management (SIEM) platforms.
- Vulnerability and threat management: The SOC team must identify and prioritise vulnerabilities within an organisation’s systems and applications. This includes conducting regular vulnerability scans, assessing the risks associated with each vulnerability, and developing a plan to mitigate the risks.
- Incident response: If any incident is detected in the organisation’s IT infrastructure, the SOC team has to work around the clock to resolve it. This involves identifying the scope of the incident, containing it to prevent further damage, and determining the root cause. The SOC team must also work closely with other departments to ensure the incident is resolved as quickly as possible.
- Reporting: The SOC should also create or generate period reports about the state of the organisation’s security. These reports must be shared or presented to all the responsible stakeholders, including management, other employees, and sometimes the general public.
The evolution of security operations
Security operations centres have been changing over the years thanks to advancements in technology and the need to deal with much more sophisticated cyber threats. In this section, we will discuss the different stages of this evolution to help you understand where SOCs have come from and where we are today.
Manual monitoring (in the early days)
The early days of security operation centres can be traced back to the 1980s when the first computer viruses began to appear. Viruses and malware-related threats created the need to develop tools and capabilities that organisations must use to prevent the potential harm they create.
At that time, SOCs were primarily focused on the manual monitoring of networks and other IT tools of the organisation. The SOC teams would manually review log files and network activity to identify potential security incidents. The tools available at the time were not very advanced to deal with modern-day security threats. The good news is that the security threats were also not as complex as they are today, so the SOC tools at the time could handle them. This era of SOC continued through the mid-1990s and early 2000s.
Automation of SOC activities
As technologies got more advanced, cybercriminals had more tools at their disposal, enabling them to create more sophisticated malware and advance their hacking capabilities. This created the need to use more sophisticated solutions to deal with these kinds of threats. In the early 2000s, SOC teams started using automation to handle various cyber threats.
This is the time when more advanced antiviruses started becoming mainstream, allowing SOC teams to schedule periodic malware scanning and real-time monitoring of threats. Security teams used automated security tools such as intrusion detection and prevention systems (IDPS) and Security Information and Event Management (SIEM) platforms to further improve their threat detection capacity.
Using these tools helped security teams to automate many of the routine tasks performed by security analysts, improving the efficiency and effectiveness of SOC operations.
Integration
During the mid and late 2000s, the number of security tools and technologies increased, which prompted organisations to start to integrate them. This allowed security analysts to view and analyse security data from multiple sources in a single location, improving their ability to detect and respond to security incidents.
Automation and all-in-one solutions also reduced the number of security personnel organisations needed to hire since several tasks could now be handled by one individual.
Machine learning and AI (Threat intelligence)
The era of integrating Machine learning and AI into the tools used by the SOC team started in the 2010s and still going on today. With AI and machine learning, security tools can now use data to improve their threat-detection capabilities over time. This makes detecting threats and security vulnerabilities in an organisation’s IT infrastructure much more reliable.
Having Machine learning and AI and AI capabilities also allow SOC teams to automate many of the routine tasks performed by SOC analysts, allowing them to focus on more complex security threats that require critical thinking and human judgment. Ultimately, this improves the effectiveness of the security operations centre as a whole.
Integration of machine learning has been made possible thanks to the drastic improvements in computing in the last couple of years. Training AI and machine learning models require a significant amount of computing power. This made it impossible to use such technologies during the early days of network operation centres.
With the invention of cloud computing, even startups and small businesses can leverage the computing resources offered by platforms such as AWS or Microsoft Azure to deploy their SOC applications. Organisations no longer have to spend on in-house hardware whenever they want to add more sophisticated security tools to their arsenal.
Outsourcing
As organisations aim to become more efficient, the trend of outsourcing some of their operations is becoming common. The Outsourcing of SOC operations to third-party providers began in the late 2010s, as organisations began to realise the benefits of leveraging the expertise and resources of these providers while also reducing the cost and complexity of managing a SOC in-house.
With outsourcing, the provider is responsible for monitoring an organisation’s networks and systems, analysing security data, detecting and responding to security incidents, and providing reports and recommendations to improve the organisation’s security posture. This can significantly improve the efficiency of security operations.
In addition to improving efficiency, outsourcing network operations also enables organisations to cut costs. It also gives them access to security experts, which would otherwise cost them more if they had to hire them permanently in their company.
Conclusion
In summary, the evolution of Security Operations Centres (SOCs) has been a gradual process that has taken place over several decades. From the early days of manual monitoring to the current era of AI-powered automation, SOCs have undergone several significant changes in their structure and operations.
The adoption of new technologies such as automation, integration, threat intelligence, and machine learning has enabled SOCs to be more efficient, effective, and responsive to security threats. The trend towards outsourcing SOC operations to third-party providers has also gained momentum in recent years, offering organisations the benefits of access to expertise, reduced cost, 24/7 monitoring, improved security posture, and regulatory compliance.
As we get into a future where cyber threats continue to become more sophisticated and complex, SOCs will need to continue to evolve and adapt to new challenges. With the ongoing advancements in technologies such as 5G networks, cloud computing, AI, and machine learning, we can expect to see even more significant changes in SOC operations in the years to come.
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