Metrics Guide
Introduction
While reviewing Response Metrics on your dashboard, you'll encounter several acronyms such as MTTD, MTTA, MTTI, and MTTC. Understanding these terms is essential for effectively managing your Security Operations Center (SOC) workflows.
We totally get that these metrics can seem like alphabet soup, especially if you're new to them or if there's one that's unfamiliar. In fact, we at Dropzone AI coined the term Mean Time to Conclusion (MTTC) to help illustrate how our product fits seamlessly into your existing Security Operations Center (SOC) workflows. Whether you’re new to these concepts or just need a refresher, we’re here to make everything clear and manageable.
This guide is designed to offer a comprehensive understanding of these key metrics. We’ll break down each term, explore how they connect, and show you how Dropzone AI can streamline and enhance your SOC operations for greater efficiency and effectiveness.
We invite you to explore this guide to gain deeper insights into these important metrics and discover how they can benefit your organization.
Key SOC Metrics
Let's kick things off talking about what metrics Dropzone measures, and how each measurement is defined:
Metric | Mean Time to Detect (MTTD) | Mean Time to Acknowledge (MTTA) | Mean Time to Investigate (MTTI) | Mean Time to Conclusion (MTTC) |
Definition | The average time your security tools take to detect suspicious activity after it occurs | The average time between an alert being generated and an analyst acknowledging it | The average time it takes an analyst to dive into an alert and identify is activity is a false positive or needs to be escalated | The average time from when suspicious activity happens to when a conclusion is made Or in other words, the sum of the other 3 metrics |
Why It Matters | The quicker you detect an incident, the less damage can be done by attackers | Alerts are like hot potatoes—you don't want them sitting around! A speedy MTTA means your team is on the ball | Efficiency is key. A lower MTTI means quicker resolutions | MTTC shows how efficiently your SOC handles all alerts, benign or malicious |
Dropzone AI's Role | We don't directly influence MTTD but ensure visibility into this metric | We reduce MTTA by kicking off investigations immediately when alerts pop up | We automate routine tasks, slashing MTTI | By reducing both MTTA and MTTI, we make a big dent in MTTC, boosting SOC performance |
Understanding MTTC
So, what's the big deal with MTTC? Glad you asked!
MTTC covers the entire journey of an alert:
Detection: When your security system spots something fishy
Acknowledgment: When the alert is logged, and someone (or something) starts looking into it
Investigation: The nitty-gritty analysis to figure out what's going on
Conclusion: Deciding whether it's a false alarm or if action is needed
Why MTTC Matters
Traditional metrics are great, but they often focus on specific parts of the process. MTTC gives you the whole picture.
Comprehensive Insight: See how efficiently your SOC handles all alerts
Efficiency Measurement: Spot bottlenecks and areas ripe for improvement
Resource Optimization: Allocate your team's time where it counts
Stronger Security Posture: Faster conclusions mean threats are nipped in the bud
The Power of Statistical Measures
We believe in going beyond just averages. That's why Dropzone AI captures three key statistical measures for each metric: Mean, Median, and the 95th Percentile.
Measurement | Mean (Average) | Median | 95th Percentile |
What It Is | Add up all the times and divide by the number of investigations | The middle value when you line up all the times from shortest to longest | The time under which 95% of your cases fall |
Pros | Gives you an overall sense of performance | Not swayed by outliers. Represents the "typical" case | Highlights the slowest 5% of cases—those alerts that take the longest |
Cons | Can get thrown off by outliers (those really long or really short times) | Doesn't show the range of variation | Might overemphasize rare, extreme cases |
Why Use All Three?
Full Spectrum Analysis: Understand both the typical and exceptional cases
Outlier Detection: Spot those pesky alerts that take too long
Informed Decisions: Make smarter choices about where to focus your efforts
How Dropzone AI Supercharges Your Metrics
Making a Real Impact
Slashing MTTA:
Parallel Processing: Dropzone AI handles multiple investigations at once, so nothing gets left behind
Immediate Action: We start processing alerts the right after they're detected
Reducing MTTI:
Automation: We handle the routine investigation steps, freeing your analysts for more complex tasks
Consistent Performance: Faster investigations across the board
MTTC Improvement:
Combined Effect: By cutting down MTTA and MTTI, we significantly lower your MTTC
Transparency and Collaboration
We believe in open conversations and teamwork.
Shared Insights: Get detailed metrics and reports at your fingertips
Open Communication: Provided metrics facilitate discussions on time saved, efficiency gains, and areas for improvement - Let's discuss how to make things even better
Value Demonstration: See the tangible benefits Dropzone AI brings to your SOC
Frequently Asked Questions (FAQ)
How is MTTC different from MTTD and MTTR?
MTTC covers the whole journey of every alert, from detection to final decision, whether it's benign or malicious. MTTD focuses on how quickly your tools detect incidents, and MTTR measures the time to respond to incidents requiring action.
Does MTTC include benign alerts?
Absolutely! MTTC accounts for all alerts. By including benign ones, you get insights into how efficiently you're handling everything that comes your way.
Will focusing on MTTC improve our security posture?
You bet! Lowering MTTC means faster threat mitigation, better resource use, and a more proactive security stance overall.
Why doesn't Dropzone AI measure MTTR?
MTTR deals with actions after the investigation phase (like containment and recovery). Since we focus on triage and investigation (MTTA and MTTI), we don't measure MTTR directly. But by speeding up the earlier phases, we help the overall response process move faster.
Can Dropzone AI reduce times across all metrics?
We don't influence MTTD (that's before the alert gets to us), but we definitely help with MTTA and MTTI. By reducing those, we make a significant dent in MTTC.
How does Dropzone AI's transparency benefit our SOC?
Transparency fosters collaboration. You'll see where time is saved, understand our impact, and we can work together to keep improving.
Why provide mean, median, and 95th percentile for each metric?
Because one size doesn't fit all! Using all three measures gives you a comprehensive understanding, helping you make more informed decisions.
How can the 95th percentile help improve our operations?
It shines a light on the slowest cases. By analyzing these outliers, we can find ways to streamline processes and reduce delays.
Can Dropzone AI affect MTTD at all?
Not directly. MTTD is about detection before we step in. But we provide visibility into MTTD so you have all the info you need.
How does Dropzone AI facilitate open conversations about performance?
With detailed metrics and transparent reporting, we enable data-driven discussions, performance tracking, and collaborative planning.
This document is intended for Dropzone AI customers to enhance understanding of key SOC metrics, the benefits of using mean, median, and 95th percentile measures, and how Dropzone AI improves Mean Time to Conclusion (MTTC) and overall SOC performance through transparency and collaborative insights.
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