Detection before Alerts: What our Modern SOC Actually Looks Like
Source: NSB Cyber
In traditional SOC models, detection begins when an alert is triggered. This means the activity must first meet a defined threshold before it is investigated. But in many cases, that threshold is reached after an attacker has already established access or begun moving through an environment.
Our solution takes a different approach. It focuses on identifying and understanding suspicious behaviour before it becomes an alert.
Moving Beyond Alerts
Alerts are designed to flag known patterns of suspicious activity. But not all attacker behaviour is immediately obvious. In many cases, early-stage activity appears subtle, fragmented, or low risk when viewed in isolation.
For example:
A user logs in from a new location
A device authenticates in an unusual way
A privileged account accesses a system it does not normally interact with
Individually, these events may not trigger an alert. But together, they can indicate something more significant. Our solution focuses on identifying these patterns early, rather than waiting for a single event to cross a predefined threshold.
A Different Operating Model
Our approach represents a shift from alert-driven monitoring to detection-led analysis.
Rather than asking:
“Has an alert been triggered?”
The question becomes:
“Does this activity indicate potential risk?”
This requires:
Continuous analysis of activity across the environment
Correlation of behaviour across users, endpoints, and systems
Context from threat intelligence and real-world incidents
The goal is not to investigate everything. It is to identify what matters earlier and focus effort accordingly.
What This Changes
Shifting detection earlier does not remove the need for alerts or response. But it changes how and when they are used.
Instead of relying solely on alerts as the starting point:
Suspicious behaviour can be identified earlier
Investigations can begin sooner and
Response can be more targeted and informed
This supports better prioritisation, reduced noise and a more effective use of analyst time.
A More Proactive Position
Our solution does not eliminate incidents. But it reduces reliance on purely reactive detection. By identifying suspicious activity earlier in the attack lifecycle, organisations are better positioned to understand, prioritise, and respond to potential threats before they escalate.
What Comes Next
Understanding the model is one thing. How it is delivered in practice is another.
In the next post, we will break down how this approach is implemented and how technology, intelligence, and human expertise work together to support earlier detection.