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Understanding SOC Metrics: Introducing Mean Time to Conclusion (MTTC)

Andrew Jerry
September 13, 2024

Security Operations Centers (SOCs) play a critical role in defending against cyber threats. They monitor, detect, investigate, and respond to security incidents around the clock. To understand their effectiveness, metrics like Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), and Mean Time to Investigate (MTTI) have long been essential. However, as cybersecurity automation continues to advance, there's a need for a more complete metric: Mean Time to Conclusion (MTTC).

What is MTTC?

MTTC tracks the entire alert triage process—from the initial detection to the final decision, whether it’s confirming an alert as benign or escalating it for deeper investigation. Unlike traditional metrics that focus on certain parts of the security process, MTTC provides a full view of how efficiently alerts are handled.

This comprehensive approach means MTTC isn’t limited to alerts that require immediate action, like MTTR. Instead, it captures all alerts, offering a clearer picture of overall SOC performance.

Traditional SOC Metrics: A Quick Recap

Before diving deeper into MTTC, let’s quickly revisit some traditional SOC metrics:

  • Mean Time to Detect (MTTD): This measures how long it takes for a security tool to detect an incident. Quick detection is essential to minimize the time threats remain unnoticed.
  • Mean Time to Acknowledge (MTTA): This tracks how long it takes for a human analyst to acknowledge an alert after it’s logged into the system. It’s important because delays here can allow threats to linger undetected.
  • Mean Time to Investigate (MTTI): This measures how long it takes to gather information, analyze the alert, and make a decision on whether it’s benign or needs further action.
  • Mean Time to Respond (MTTR): MTTR measures how long it takes to initiate a response after an incident is detected, focusing only on cases where immediate action is required.

While these metrics have been useful, they offer only partial insights. That’s where MTTC comes in, providing a more complete view by covering every step for every alert, whether benign or malicious.

Why SOCs Need a Fresh Perspective on Metrics

Traditional metrics like MTTD and MTTR are valuable, but they each focus on specific phases of the security process. For example, MTTD looks at detection speed but doesn’t capture the time spent investigating alerts. Similarly, MTTR focuses only on incidents that need immediate action, leaving out benign alerts.

MTTC changes the game by offering a more comprehensive measure that includes all alerts, whether benign or requiring action. This level of detail helps SOCs understand their efficiency more holistically.

How MTTC Boosts SOC Performance

MTTC covers every step in the alert triage process, offering SOCs deeper insights into their operations. By tracking the time from detection to final decision, MTTC helps SOCs identify bottlenecks, streamline workflows, and ensure that alerts are handled quickly and efficiently.

Here’s how MTTC works:

  • Detection: The moment a potential threat is flagged by a security tool.
  • Processing & Acknowledgment: Logging the alert into the system and ensuring it’s picked up by an analyst.
  • Investigation: Whether through automation or manual efforts, this step involves analyzing the alert to decide its next steps.
  • Conclusion: A final decision is made—either closing the alert as benign or escalating it for further investigation.

With MTTC, organizations gain a full picture of their SOC’s performance, making it easier to pinpoint areas for improvement.

Mean-time-to-conclusion (MTTC) measures the efficiency of the SOC in triaging and investigating alerts.

How Dropzone AI Improves MTTC

Dropzone AI is a game-changer for SOCs looking to reduce their MTTC. It automates many of the investigative steps that traditionally slow down the alert triage process. Once an alert is detected, Dropzone AI kicks in, automating tasks such as understanding the nature of the alert, gathering data, analyzing findings, and compiling reports.

This automation eliminates delays in the acknowledgment phase (MTTA), as alerts are processed immediately. With Dropzone AI seamlessly integrating into existing SOC workflows, teams can handle more alerts, reduce manual effort, and focus on higher-value tasks.

By automating routine steps, Dropzone AI helps to lower MTTC, enabling SOCs to manage a higher volume of alerts more efficiently.

Response metrics including MTTC, MTTD, MTTA, and MTTI are tracked on the Dropzone AI dashboard.

Why SOCs Should Care About MTTC

MTTC offers a comprehensive way to measure SOC performance, helping organizations streamline their operations and improve resource allocation. By focusing on reducing MTTC, SOCs can achieve shorter cycle times, demonstrating their ability to handle threats effectively.

Adopting MTTC as a core metric empowers SOCs to not only improve their security posture but also enhance the work experience for analysts, allowing them to focus on more critical decision-making tasks.

Final Thoughts: Embracing MTTC for Better SOC Performance

For SOCs familiar with traditional metrics like MTTD or MTTR, MTTC offers a fresh perspective on measuring performance. By adopting MTTC and integrating solutions like Dropzone AI, SOCs can streamline their alert triage process, manage higher alert volumes, and ensure that critical threats are addressed efficiently.

MTTC provides a roadmap for continuous improvement, allowing security teams to keep pace with the ever-evolving threat landscape.