ISJ hears from Renee Stringer, Program Manager, Executive Protection, Pinkerton.
Corporate security has never had more information at its fingertips.
Every sensor, badge swipe, camera feed and platform generates data around the clock. Add AI to the data stream and it becomes a flood.
The challenge is no longer how to collect data, but how to use it correctly. The future of corporate security belongs to organisations that turn information into intelligence and act on it with discipline and speed.
The future of corporate security?
The flow of information has outpaced the systems built to handle it.
AI generates an unprecedented volume of logs, alerts and auto-generated reports. Still, most data ends up trapped in platforms that do not communicate with one another.
Many manufacturers keep systems closed or charge heavy fees to unlock integrations, which leaves teams manually piecing information together across tools.
A risk assessment that should take hours can sit for days because collection, validation and formatting consume more time than the actual analysis.
Basic accountability questions, such as who is in a building at a given moment, can be challenging to answer because most sites still do not implement badge-out procedures.
These processes are slow, messy and outdated. The data exists, but the structure to use it effectively often does not.
This is where many organisations are getting stuck.
Organisations are sitting on enormous amounts of data, but their operational pipelines have not evolved to match the pace of what AI and modern security systems generate.
Service level agreements might allow several days to produce an event risk assessment, but the analytical portion typically takes a fraction of that time.
The bottleneck lies in the slow movement of information through disconnected systems that rely solely on manual entry, rather than in the analysts’ skills.
Some organisations are beginning to close that gap. They are adopting vendor-neutral platforms that bring together access control, surveillance, incident reporting and intelligence feeds.
Instead of manually pulling data from separate systems, they automate the basics and utilise real-time dashboards to identify exceptions and trends.
With the help of AI, analysts are free to focus on context, patterns and judgment rather than being buried in spreadsheets and outdated processes.
The shift is subtle but powerful. By streamlining the data pipeline, these teams make faster decisions and act before minor issues turn into critical ones.
The role of AI to deliver faster insights is one that is important, but not as important as the expert who can tell you what it means. Automated tools can surface anomalies and generate reports at scale, but they cannot understand why those anomalies matter.
That interpretation belongs to trained professionals who know the environment, the risks and the patterns that signal change. A flagged access pattern or unusual travel route is just data until a human gives it meaning.
Organisations should start by examining their data strategy: Look at where information is trapped, how quickly it moves through systems and who is responsible for turning it into intelligence.
Once they understand the gap between data collection and data action, they should focus on mapping where data lives to eliminate blind spots, streamlining how it flows so information reaches decision-makers quickly and equipping teams to act on it in real-time through training, clear roles and integrated systems.
Corporate security has always been about staying ahead of the curve. Data has raised the bar. The future belongs to those who rise to meet it.
Renee Stringer
Renee has spent over twenty years teaching self-defence and more than a decade operating in high-risk dignitary protection, executive protection and security operations.
At Pinkerton, Renee leads teams, develops protection strategies and conducts threat assessments that combine tactical expertise with human behaviour analysis.
