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The Future of Business Security: Ai-Driven Burglar Alarms

Burglar alarms have evolved to become more than just bells-only alarms that can alert nearby people and authorities. Modern burglar alarms leverage the power of artificial intelligence powered by cloud computing to provide next-generation security that promises better detection rates and deterrence.

Since the advent of Web 3.0, manufacturers have been leaning towards implementing cloud processing, big data, analytics, and artificial intelligence to boost the capabilities of security hardware.

However, the real benefit of this technology lies in integration!

Integration is key in providing comprehensive security for businesses. In today’s world burglar alarms may not be enough which is why most businesses need to provide integration with other security hardware to reap the full benefits of AI-driven security.

In this guide, we will look at how AI is powering modern business security and how it has impacted burglar alarms.


Artificial Intelligence (AI) is an umbrella term that combines machine learning and cognitive computing. These technologies enable computers to not just reason but also make better sense of data. Some of these tasks include problem-solving, recognising patterns, and learning from data trends.

AI and Machine Learning (ML) have been around for a long time. Believe it or not, we have been pondering on AI technologies since the dawn of the transistor. However, the applications of this rudimentary form of AI were usually reserved for just simple tasks. For example, AI was popularly introduced by integrating it with chess – a game that requires strategies, reasoning, and processing data in real time!

Today, we have reached a point where AI is almost everywhere, and we can thank Moore’s law for this! Moore’s law states that the number of transistors on a chip doubles every two years. Transistors are what power the modern world and enable computers to process data.

So, the more transistors, the more data a system can process!

This processing power is what enables computers to run machine learning algorithms that process and “learn” from data trends in real time, enabling real-time reasoning and decision-making.

Machine Learning is a subset of Artificial Intelligence and involves collecting large amounts of data and then training the system using this data to make decisions and process new data.

Security systems, in particular, have benefited a lot from Deep Learning (DL), a subset of Machine Learning. Using deep learning, computers can be “fed” different images to “learn” patterns and recognise objects.

This means that systems can not only learn how to recognise objects, people, and pets, but they can also differentiate between authorised and unauthorised faces on the premises.


In business security, AI plays an integral role since it helps decrease false triggers and threats and provides advanced security.

Since these systems can learn over time, they can become more intelligent and adjust to new events or parameters accordingly.

In simple terms, these systems can “think” for themselves and alert the authorities of any suspicious event or activity on the business premises.

These technologies can be incorporated into security systems such as burglar alarm systems, CCTV cameras, access control systems, and fire detection systems to make them smarter and more efficient.


Here are some of the ways AI-driven alarms and security systems are redefining business security for all types of businesses:

Proactive Security

Legacy security systems usually rely on the input of an individual at the other end of the alarm or camera. For example, if an alarm is triggered, then an authorised person would have to call the authorities and decide to control the threat. However, with AI security systems these tasks can be automated, thus reducing the overall lag time between a security breach and the response time.

AI systems can also proactively scan for threats and alert authorised people so that they also have control over the security of their business. In other words, AI security systems have predictive capabilities that enable proactive measures to enhance overall business security.

For example, if an unauthorised person regularly visits a property, then the system can flag the person and report it to the user. It is important to note that burglars usually conduct reconnaissance missions and survey a business before they target it – and AI can prevent such activities proactively.

Real-Time Security

AI burglar alarm systems are trained on a large set of data that enables them to recognise threats. This includes human behaviour analysis and patterns which can help detect suspicious activities in real time.

AI-driven burglar alarms can also be integrated with other security hardware to provide comprehensive business security. Essentially, these systems can “talk” to each other and use a shared pool of data to make better security decisions.

Data related to biometrics such as fingerprints, facial recognition, or iris scans help enhance the accuracy of the system. These systems can also analyse access patterns such as multiple failed attempts and help prevent unauthorised entry.

24/7 surveillance – No Humans Required

The biggest factor in security is an overreliance on humans. Humans make mistakes – which is just part of the human experience. However, in security, these gaps in judgements and common mistakes can cause security breaches. Since Artificial Intelligence security systems require little to no human supervision, they can offer consistent, continuous, high-level surveillance at all times.

IoT integration

Smart security systems leverage the use of cloud computing and Artificial Intelligence to detect intrusions, monitor activities around the business premises, and alert the business owners. As mentioned above, these systems communicate with each other and provide multiple security measures.

For example, AI burglar alarms can integrate with smart sensors and devices to automatically lock doors, adjust lighting during a breach, and control access based on real-time data.


Here are some of the most popular burglar alarms for different businesses:

Bells-Only Burglar Alarms (Legacy/Non-AI)

Bells-only has been the go-to alarm system for businesses for decades. These systems use a simple bell mechanism that can be triggered when the system detects movement through sensors. Bell-only alarms are excellent for all types of businesses and are frequently the most economical choice for small-sized businesses.

However, they aren’t usually smart and rely on nearby people who hear the alarm to take action. While you may find some smart bells-only alarm systems, their capabilities are usually limited and they aren’t able to provide proactive security.

Dialler Burglar Alarms

Dialler alarms also ring a loud bell, but they also use a GSM network to send SMS notifications to keyholders. This system is ideal for businesses that require the ability to receive notifications from their alarm.

For example, when triggered, the alarm will ring loudly and the system will send a notification via call or SMS to a list of people notifying them of the break-in.

Monitored Burglar Alarms

Monitored alarm systems are the next best thing to smart security systems. Security companies, like Calder Security, offer dedicated alarm monitoring services where professional security experts remotely monitor the status of the alarm and take necessary action in real time.

This way, you don’t have to call the authorities since the company will manage the threat automatically on your behalf.

Smart Burglar Alarms (AI-Based)

Smart burglar alarms are what most businesses are leaning toward these days. These systems use Artificial Intelligence and advanced algorithms to detect movement.

Smart alarms collect sensor data and process it over the cloud. If the alarm detects suspicious activity, then the system can immediately alert the authorities and also notify the business stakeholders via push notifications.


Here are some technologies that AI-driven business burglar alarm systems use:

  • Object recognition and anomaly detection: AI-powered security systems can recognise and categorise objects such as people, animals, vehicles, and weapons based on sensor data. These systems analyse the gait, size, and height of objects to determine threats in real time.
  • Perimeter protection: perimeter protection is how burglar alarms can proactively detect threats using sensors. Furthermore, this capability can be enhanced by implementing business burglar alarms with CCTV systems to analyse the perimeter of a business.
  • Machine-Learning and Data Analysis: as mentioned above, AI-driven business burglar alarms can use a pool of data to determine threats and learn from trends. Data such as facial recognition, fingerprint scanning, and iris recognition can help reduce false triggers and increase recognition/detection rates.


Business security is paramount and can impact not just the brand image of a business but also the insurance rate. This is why business owners must do a cost-benefit analysis before implementing security measures.

The good news is that AI-driven burglar alarms are incredibly reliable and effective at deterring crime which makes them worth the investment. However, there are a few costs attached to these specialised systems.

The cost of smart security systems in the UK can vary significantly based on the features and components included in the system. Depending on the alarm type, the cost of an AI-driven burglar alarm can start from £150 to £250. An advanced system with a lot of sensors and devices may cost you several thousand pounds.

Here is a general overview of the factors that affect the total cost of a smart security system:

Equipment costs :

AI-driven security systems have different components than regular or legacy security systems. For example, a typical smart burglar alarm can include sensors, PCB, and other components that enable the hardware to connect to the internet and process data.

In other words, the hardware of these devices can be quite complex and even though you have the option to go for wireless and wired systems, the cost will almost always be a bit higher than legacy systems.

Wired AI-driven systems are more reliable and provide seamless data processing since they are directly connected to the internet via an ethernet cable. A direct connection results in a stable connection.

Wireless systems are also excellent but are usually at the mercy of the Wi-Fi connection. For example, if a system does not have a strong connection, then you might not be able to utilise the full features of the burglar alarm. Furthermore, wireless burglar alarms also include batteries that need to be replaced periodically which can further increase their costs.

Installation costs

Installation costs depend on the size and complexity of a system, with more complex alarms taking extra time, effort, and of course, money.

Additionally, AI-driven burglar alarms also need to be configured. Since most of the features of these devices are software-based, a professional technician, like the ones provided by Calder Security, will carefully calibrate and configure the software so that the system provides maximum security.

Monitoring costs

In addition to being AI-powered, you can also integrate AI-driven burglar alarms with security monitoring. This option is for large and enterprise businesses as it provides the best of both worlds.

Smart burglar alarms and security systems can be linked to professional monitoring services where a team of experts can monitor the system and alert the authorities in the event of an emergency. These services can be subscribed with a monthly charge that can range from £10 to £30.

Maintenance costs

AI-driven burglar alarm systems need to be maintained just like any other security hardware. These alarms have several components and may require calibration over time.

Wireless systems also need additional maintenance since they operate using a battery. Furthermore, AI-driven burglar alarms may also require software updates and configuration which can increase the capabilities of the device.


While AI-driven burglar alarms are quite advanced, they do have a few extra legalities that users need to be aware of. Since these technologies leverage the power of the internet and process/store data on a server, there are a few considerations to keep in mind.

The UK has several legal regulations and guidelines related to AI-based security systems used in business:

All businesses must adhere to data processing and storing regulations set by the government for compliance. It is pertinent that the use of AI-based security systems must be safe, secure, and transparent.


At Calder Security, we provide a comprehensive range of security solutions that include not just professional installation but also monitoring, maintenance, and repair services.

We are members of the Master Locksmith Association (MLA), approved members of the Security Systems and Alarms Inspection Board (SSAIB), and also conform to all the relevant British and EU Standards.

We follow all the best practices in the industry and install only high-quality, state-of-the-art security systems.

We offer various levels of monitoring via a 24-hour monitoring centre using Dualcom and BT Redcare signalling, which is the most secure alarm monitoring system and the largest supplier of intelligent alarm signalling services in the UK.

We understand the importance of having to regularly maintain security systems since the inability to do so might result in serious faults and consequent vulnerabilities in your property’s security.

We provide professional maintenance checks and reminders for when the checks are due to help you stay compliant with the law and work fast to restore your security systems to excellent condition.

We offer a 24-hour call-out service for customers and can also repair systems not installed by us. Our engineers are highly skilled and can restore faulty systems to full working order in one visit.

Contact us here or call us at 0800 612 9799 to talk to our experts right away!

Photo by Steve Johnson on Unsplash