Dealing with the Inferior Detection Problem in SOC

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Inferior Detection Problem in SOC

As long as they have been around, enterprise Security Operations Centers (SOC) have been responding to enterprise cyber security threats- both external and internal. However, as the cybersecurity landscape is becoming more complex, it is increasingly becoming difficult for SOC to detect the ever-evolving nature of cyber-attacks.

Cybersecurity teams have always struggled to stay ahead of the attackers to mitigate the impact. Most of the time, the challenge lies in detection algorithms and methodologies that are not always at a level to effectively deal with threats. Even though detection can help enterprises to address the issue effectively, most experts believe that enterprises turn a blind eye to treat symptoms such as triage/response automation, alert/volume noise, etc. The main problem lies at the core, which is the inferior detection capabilities.

Though detection tools have been improving, they cannot keep up with the dynamic nature of the threat landscape. In fact, a report conducted by Verizon Breach Report states that 87% of have witnessed an increase in cyber-attacks on enterprises depicting inadequacies of detection tools.

Addressing the detection puzzle

Though the SOC professionals will never have enough detection or preventative measures to mitigate the attacks before their emergence, they can simply manage early detection and mitigation. But, insufficient detection capabilities coupled with lack of machine learning algorithms insights, fails to detect threat adequately.

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To deal with this, SOCs can opt for effective detection methods such as building a graph across relevant and potentially indicative signals and forming detection methods. This enables the cybersecurity team to get the required insights from the potential attack patterns. If these are successfully implemented, it can significantly enhance the detection process.

Apart from the above mentioned, below are a few solutions that can significantly enhance the detection capabilities in the SOC:

  • A comprehensive, continuous and automated assessment and a scoring model that provides SOC leaders and CISOs a view for their threat detection preparation and enables them to improve their threat detection score.
  • Enterprises can invest in an AI-assisted recommendation engine that gives SOC users personalized use cases they need to have concern based on the susceptibility, environment as well as the current threat landscape.
  • Enterprises can have their own intelligent, low or no-code, detection pattern building environment which can successfully deploy relevant logic. This will help to increase the low-volume of highly effective alerts on triage/response.
  • Creating a peer capability solution which has the ability to share best practices, code as well as relevant insights among team members as well as among enterprises. It enables them the ability to share code that can be deployed across environments.

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Adopting this set of overall solutions provides security professionals and enterprises a comprehensive view and the enterprise’s security preparedness. This insight helps enterprises to make informed decisions by widening their area of reach and getting rich alerts.

By creating a robust layer of relevant, custom and code-free threat detection, SOC teams can increase their agility and have more options to automate the response actions more precisely.