FFT Logo

The FFT Glossary: Terms We Use, Explained

July 13, 2025

At FFT, we know the world of perimeter security comes with its own language, especially when you're working at the cutting edge of deep learning, fiber optic technology. To make navigating our content a little easier, here’s a quick-reference glossary of the acronyms, terms, and tech talk you’ll hear from us regularly.

 

PIDS - Perimeter Intrusion Detection System

The bread and butter of what we do. A PIDS detects and alerts when an intruder crosses a perimeter, whether that’s a fence line, buried cable, or critical infrastructure boundary. FFT’s systems are powered by deep learning, meaning fewer nuisance alarms and greater accuracy than traditional setups.

 

POD – Probability of Detection

POD, or Probability of Detection, is a key performance indicator in intrusion detection. It quantifies the likelihood that the system will correctly detect a real intrusion or threat. A higher POD (95% +) indicates a more reliable system that effectively identifies security breaches. Achieving a high POD ensures that security teams can respond quickly to genuine threats, enhancing overall protection for critical infrastructure and assets.

 

NAR - Nuisance Alarm Rate

How often a system cries wolf - or how often it alerts to a non-threat. Traditional systems suffer from high NAR due to wind, wildlife, or nearby environmental vibrations. FFT dramatically reduces NAR through deep learning algorithms that distinguish between real threats and environmental noise.

 

DAS - Distributed Acoustic Sensing

The underlying tech that turns a single strand of fiber optic cable into a series of virtual sensors. DAS starts by sending laser pulses down your fiber optic cable and analysing the Rayleigh backscattered light (for more information on this: https://www.sciencedirect.com/topics/engineering/rayleigh-backscattering). When something disturbs the cable, such as footsteps, vehicles, even vibrations traveling through the ground, the backscattered light is changed indicating an intrusion or event has been detected.

 

Deep Learning

More than just a buzzword. This is the intelligence behind our systems. Deep Learning is a more specific form of Machine Learning that involves multi-layered neural networks designed to mimic the structure of the human brain. These deep neural networks (DNNs) can process vast amounts of data, extract features, and classify events without human intervention, leading to much higher accuracy.

In the context of PIDS, Deep Learning has the potential to shift the balance in favour of higher POD, while minimizing the NAR. Historically, there has been a trade-off between these two metrics. A more sensitive system might improve the POD but also raises the NAR. Deep Learning breaks this paradigm by allowing systems to become more "intelligent" in their decision-making, enabling them to process the data and accurately classify events.

 

SIEM 

A SIEM, which stands for Security Information and Event Management, is a security solution that aggregates, analyzes, and manages security data from various sources within an organization's IT infrastructure. It helps in real-time threat detection, incident investigation, and compliance reporting. 

 

Integration

FFT systems are designed to integrate easily with existing CCTV, drones, alarms, SIEM’S and other security platforms and infrastructure. This saves time, money, and operational headaches.

 

Legacy Systems

Older, or the previous, often outdated security systems that often relies on rigid sensitivity thresholds or multi-component setups. These systems are prone to high nuisance alarm rates, difficult maintenance, and poor adaptability. FFT was built to overcome their limitations.

 

Aura Ai-X / Aura Ai-XS

These are FFT’s flagship solutions.

  • Aura Ai-X is our standard deep learning PIDS system, built for large-scale, high-security applications with large perimeters, pipelines or buried applications. Aura Ai-X provides fence mounted fibre optic sensing up to 80km (50miles), covert buried protection up to 110km, (70 miles) and pipeline and data network protection up to 110km (70 miles.) 
  • Aura Ai-XS is our short perimeter version, ideal for smaller facilities or tighter perimeter requirements. Aura Ai-XS provides fence mounted fibre optic sensing up to 10km (6 miles) 
  • Aura Ai-XSB provides shallow buried only fibre optic sensing for short perimeters, up to 10km (6 miles) 

 

FFT CAMS - Central Alarm Management System

This is our proprietary interface that allows for real-time monitoring, event logging, and system control. CAMS offers a centralized view across your entire perimeter, empowering fast response and clear oversight.  FFT CAMS displays, monitors, and controls alarms on a single site or group of sites. It has a simple to understand Graphical User Interface (GUI) and is built on a client-server architecture which offers a central shared database between multiple clients. 

 

FFT ATLAS 

A powerful add-on module. FFT ATLAS offers system optimization, cyber assurance, worldwide maintenance and support with event classification upgrades. FFT ATLAS maximizes system performance with continuous improvement - ensuring your security performance is maintained against changing environments and threat vectors. 

 

Still Curious?

We’re all about clarity, not confusion. If you ever hit a term that feels like security speak, don’t hesitate to reach out or book a quick demo. We’ll walk you through exactly how it all works. More importantly, we’ll show you how it works for you.

 

Related News

How Deep Learning is Making Perimeter Security Smarter with DAS
The Impact of Unreliable Security Systems on Emergency Response Times:…
Beyond Bars: 5 Reasons You Need a Reliable PIDS Solution…
cross