Greg Newman, Chief of Staff at HiveWatch discusses the urgent need for GSOCs to connect fragmented security systems.
Most Global Security Operations Centres (GSOCs) are performing security theatre.
And that’s because your security teams aren’t skilled.
They are. Rather, it’s because your skilled team is fighting next-gen threats with last-gen infrastructure and the gap is getting exponentially wider.
Here’s an example: You head up security for a major pharmaceutical manufacturer with offices in London and Oxford, with a manufacturing campus in the West Midlands.
Here’s the problem: A decade ago, you were looking at video screens hoping to see something, recording paper logs and monitoring a few low-alert point solutions that had no ability to connect with each other.
Today, you’re ingesting thousands of events from access control systems, surveillance networks and threat feeds. Thousands of badge swipes. Excellent AI-driven alerts from cameras.
Crime data, OSINT alerts, geopolitical signals. But buried somewhere in that are actual threats requiring actual action.
Legacy SOCs were designed to watch and respond.
Modern security demands prediction, intelligent prioritisation and autonomous action across your business before threats materialise.
The gap between these two realities is where organisations get hurt.
So, back to the pharma manufacturer with urban offices, suburban manufacturing, data centres, car parks, employees traveling around the UK and the world.
Hundreds of access points per facility. Dozens of cameras. Intrusion detection. Travel tracking. Layer on employee health and safety monitoring, compliance automation and supply chain security and you’re easily processing millions of events daily.
The legacy playbook: Hire more analysts, add more screens, build bigger monitoring walls.
The modern approach: Stop drowning in manual work and start automating the extraction of actionable intelligence.
This isn’t about ingesting more data; it’s about introducing technology that transforms noise into sharp signals and context into action.
Here’s how disconnected systems break: A terminated employee badge hits a secure door reader. Access denied. A minute later, a tailgating alert. Access control flags it.
Three minutes later, anomalous network traffic is detected by one of your cybersecurity team’s apps.
But the systems don’t connect those dots. They can’t. They were never designed to.
In today’s world, enterprise security requires integration across multiple disciplines, locations and technologies: Physical security, identity management, cyber-defence and risk intelligence all generate valuable signals.
But when those signals remain trapped in silos, you’re essentially running multiple security programs that can’t see each other, let alone work together.
Most organisations are juggling three to six different security systems that operate independently. You’re not just missing collaboration opportunities. You’re manufacturing blind spots.
The answer isn’t ripping everything out and starting over.
It’s implementing intelligence-driven technology that sits on top of your existing infrastructure and creates meaningful connections between systems.
Let’s kill a buzzword right now: Everyone claims their platforms make you ‘proactive.’ Most don’t. They’re still fundamentally reactive … just faster at reacting.
Traditional monitoring can answer: “What happened?” True intelligence-driven security operations means your GSOC can answer three more questions that traditional monitoring can’t:
When organised retail crime groups coordinate ‘smash and grab’ attacks via social media, traditional physical security tools find out when the windows start breaking.
An intelligence-driven SOC sees the chatter beforehand via OSINT tools, alerts the right stakeholders and coordinates with law enforcement before anyone shows up with a sledgehammer.
That’s not incremental improvement. That’s an architectural transformation.
Here’s where we get tactical. Intelligence-driven GSOCs are built on specific capabilities that legacy GSOC programs simply don’t have.
Systems that automatically connect events across the point solutions, such as linking that failed access attempt with the recent termination and instantly provide context to operators.
Not “here’s an alert,” but “here’s why this matters and what else is connected to it.”
AI tools that drive actual predictive analytics and identify patterns indicating potential threats, then prioritise alerting to GSOC operators.
When you’re getting 10,000 alerts daily, you need technology that separates real signal from noise automatically.
Single-pane-of-glass visibility across all locations and security disciplines.
And critically, data sets that live together allow you to make apples-to-apples data-driven decisions.
Dynamic maps showing ongoing incidents and resource deployment across the enterprise. Not 47 different dashboards.
The goal is one intelligent view that adapts to what you need to see.
Extracting intelligence from that ancient access control system alongside cutting-edge AI video analytics, synthesising coherent intelligence despite your tech stack spanning two decades.
Because you’re not replacing everything – that’s not realistic.
Automated, intelligent systems that automatically escalate critical issues, launch pre-defined response protocols, notify relevant stakeholders and create documentation are the goal.
Your team focuses on decisions that require human judgment; everything else happens automatically.
As enterprises grow in scale and complexity, the gap between what legacy approaches can deliver and what organisations actually need keeps widening.
Intelligence-driven security operations transform your GSOC from a cost centre playing defence into a strategic asset enabling organisational resilience and growth.
Organisations that embrace this shift don’t just respond to threats more effectively, they anticipate and prevent them.
This article was originally published in the February edition of Security Journal UK. To read your FREE digital edition, click here.
