In today’s rapidly evolving world, the modernization of the security operations center is crucial to the success of digital transformation initiatives. However, organizations are faced with a shortage of cybersecurity professionals and are struggling to detect and mitigate high-priority threats.
Outdated solutions produce volumes of security alerts, and as a result of the sheer amount of noise generated, security teams struggle to precisely detect high-priority threats. Compound this reality with budget uncertainties, compliance mandates, skills gaps, and staff shortages; it becomes clear why security teams are looking for new solutions.
Moreover, with remote working becoming the norm, IT groups are routing more traffic directly to cloud apps instead of doing it through the network. But, in this case, traditional network security controls aren’t enough. Identity-based security and endpoint signals have become more crucial than ever. Hence, modernizing Security Operations Centers (SOCs) to enhance effectiveness and productivity has become a critical priority for organizations worldwide.
Enhanced Visibility into all Connected Devices and Apps
Most organizations use more than just one cloud. Without visibility across all platforms where critical business information is stored and transacted, security teams don’t have a complete view of their corporate security program and risk profile. Even though major cloud service providers offer tools that help monitor the environment thoroughly, security teams need a holistic view to assess threats.
Moreover, as more employees use mobile devices and cloud apps for work, the conventional network security perimeter is no longer relevant. This puts substantial emphasis on endpoint monitoring and protection. However, it goes beyond employee devices – the explosion of the internet of things (IoT) provides another opportunity for cybercriminals to infiltrate the environment.
Businesses need to employ security platforms that can help them detect, investigate, and prevent threats across all their endpoints and give them visibility across cloud apps, devices, data, identity, and infrastructure.
Humans and ML Need to Work Together
It can be very challenging to monitor the sheer number of endpoints and environments, with each of them producing thousands of alerts – many turning out to be fake alarms. Correlating signals across the entire environment can be difficult if organizations use multiple security tools that aren’t well integrated. Security teams end up spending hours combing through fake positives, trying to find real threats. This can result in alert fatigue, making it easy to miss true alerts.
In the case of a modern SOC, machine learning (ML) and artificial intelligence (AI) will be deployed to help security teams focus on the right issues. AI and ML can help reduce the noise so that security professionals can focus on responding to more complex threats.
The main aim of the SOC is to rapidly identify and respond to incidents. Every minute matters in the event of an attack, so it’s crucial that security teams respond swiftly and intelligently. But sometimes, it can be difficult to make the best decisions in a state of high alert. Hence, it’s advisable to have a plan in place to provide structure during such situations – a playbook can be the best way to do that. Organizations can also automate playbooks using the security orchestration, automation, and response (SOAR) capabilities.
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