SOC teams are drowning in signal overload. For organizations of any meaningful size, alert fatigue isn't just a buzzword—it's a daily reality that's getting worse. Security operations centers run like assembly lines, churning through massive queues of alerts they can't possibly address in full. The result? A dangerous backlog of unsolved items, any of which could lead to a full-scale breach.
This broken model stems from two fundamental problems:
- Overly vocal security products designed to demonstrate value through volume, and
- Time-based metrics that incentivize wrong behavior.
The metrics problem: MTTR and MTTI drive dangerous behavior
Mean Time to Resolution (MTTR) and Mean Time to Investigate (MTTI) have become standard SOC performance measures. These metrics judge analysts on how quickly they can close alerts, creating a perverse incentive structure that prioritizes speed over thoroughness.
When analysts know their compensation and career progression depend on processing alerts quickly, they develop tunnel vision. They investigate the narrowest possible scope of an incident, make the minimum viable decisions to close it out—reset credentials, add firewall rules—and move to the next case.
This approach misses a critical reality: every alert represents a signal connected to other signals. When an analyst discovers a compromised user identity, the right question isn't "How do I close this fastest?" but "What did this user do before I discovered the compromise? What other systems might be affected?"
Unfortunately, most analysts don't have time for that broader investigation. Even when they identify true positives, they focus on immediate containment rather than understanding the full attack scope.
The Cost of Narrow Investigations
Consider a typical endpoint alert scenario. An EDR system flags suspicious activity on a user's workstation. Under current time pressure, an analyst might:
- Validate the alert is legitimate
- Reset the user's credentials
- Add blocking rules to prevent similar activity
- Close the case
What they won't do—because they can't afford the time—is investigate whether that same user account accessed AWS EC2 instances, made unusual changes in Okta or Entra ID, or accessed sensitive SharePoint documents. The scope remains artificially narrow, leaving potential lateral movement and data exfiltration undetected.
The numbers tell the story clearly. While many of these cases turn out to be noise, the ones that represent real threats continue unabated. Eventually, that incomplete investigation becomes a headline-grabbing breach.
Why this technology must adapt to reality
With transformative technology like AI, the instinct might be to overhaul SOC metrics entirely—eliminate time-based KPIs and focus purely on investigation quality. But this approach ignores organizational reality. Organizations won't abandon 15-20 years of established SOC metrics overnight. Security products will continue generating massive alert volumes, and executives will still want measurable performance indicators.
The pragmatic solution requires technology that lets analysts investigate broadly within existing time constraints. Instead of fighting the system, we need tools that accelerate comprehensive investigations.
How AI changes the investigation game
Modern AI technology can extract data from multiple platforms simultaneously, assess relationships and risk, and present analysts with coherent threat narratives. This capability addresses two critical challenges:
Speed at Scale: AI can correlate disparate data sources—endpoint logs, identity systems, cloud platforms, network traffic—faster than any human analyst. What might take hours of manual investigation can happen in minutes.
Cross-Platform Expertise: Many SOC analysts lack deep expertise across every security tool in their environment. AI can bridge these knowledge gaps, analyzing data patterns across platforms that individual analysts might not fully understand.
The key isn't replacing human judgment but augmenting it. AI can quickly establish investigation scope, identify related activity across the entire environment, and present findings in ways that allow teams of analysts to validate conclusions and move to response.
Command Zero's approach: Immediate scope & impact
Our platform recognizes that when you're dealing with an alert, something is already wrong. Instead of starting with narrow investigation parameters, the system immediately searches for evidence of related activity across the entire environment.
When an endpoint alert triggers, Command Zero automatically checks for corresponding activity in AWS, Azure, identity providers, SaaS applications, and other connected systems. This isn't just correlation—it's comprehensive scope setting that happens in seconds, not hours.
The platform provides clear paths to remediation while working within existing time constraints. Analysts can quickly understand whether an incident is contained to a single system or represents broader compromise, making informed decisions about response priorities.
Building better SOC workflows with AI
The goal isn't to eliminate alerts or abandon performance metrics. It's to give analysts the tools they need to investigate comprehensively within existing operational constraints. When analysts can establish full incident scope quickly and confidently, they make better decisions about resource allocation and response priorities.
This technological approach acknowledges SOC reality while improving outcomes. Analysts still move through cases efficiently, but with complete visibility into threat scope and impact. The assembly line continues running, but with higher-quality output and reduced risk of missing critical attack progression.
The alternative—continuing to operate with narrow investigation scopes and artificial time pressures—guarantees that some percentage of incidents will escalate into full breaches. In today's threat landscape, that's a risk most organizations simply can't afford.
Book a demo today to see how Command Zero can help your analysts move beyond immediate scope and reduce overall risk.
