Though tech is helping organisations enhance security, human oversight, training and thoughtful implementation remain essential components of any effective strategy, writes Philip Ingram MBE.
Projections show that 76% of organisations suffer at least one ransomware attack per year (Viking Cloud).
The threat landscape continues to shift rapidly across both physical and digital domains.
Property theft has continued to affect companies in the last 12 months and many have experienced unauthorised access to their data or networks.
Smart intruder detection systems have changed substantially in 2025. AI and machine learning now reduces false alarms by learning from patterns and behaviours.
This marks an improvement in threat detection capabilities. Wireless intruder detection systems have gained favour due to their flexibility and ease of installation.
However, the integration challenge remains significant. Many security leaders report increased complexity in determining which security tools best suit their needs.
Modern intruder detection sensors now include multi-sensor detectors, glass break sensors and vibration sensors.
These work alongside biometric verification such as fingerprint or facial recognition. Only authorised individuals can access protected areas and systems.
Jim Murphy, a Security Expert and Contributor at Vector Security commented: “Home security solutions must do more than just detect intrusions; they need to work in harmony with everyday life.”
Security has changed fundamentally in light of hybrid and connected working.
The IoT market will grow to 24.1 billion devices by 2030, generating over £1.1t in annual revenue (Transforma Insights) – but this expansion creates challenges for organisations.
The risk posed by employees has increased. Today’s virtual workforce operates beyond traditional parameters, making organisations vulnerable.
Not only has hybrid work created irregular occupancy patterns, employees can access sensitive systems from various locations.
It’s clear that organisations are now recognising remote and hybrid working as a key contributor to heightened threat levels.
The challenge extends beyond managing remote workers, however. Offices have evolved and more devices now connect to networks. This creates potential entry points for intruders.
Traditional intruder detection approaches are inadequate against sophisticated threats.
These systems typically rely on firewalls, proxies and web filters. They struggle to keep pace with evolving attack strategies.
Even with the best training, employees can fall prey to cleverly disguised social engineering attacks.
Joe O’Halloran wrote in Computer Weekly that there are: “Four key reasons traditional systems fail in 2025 […] They depend primarily on known threat signatures, leaving them blind to zero-day attacks and new malware strains; they lack the ability to track user or system behaviour over time, missing anomalies that could signal breaches; they operate on static rules rather than adapting to emerging threats in real-time; they often require manual investigation of alerts, leading to fatigue and delayed responses.
“Perimeter-based security, once the standard for intruder detection, is particularly ineffective in hybrid environments.
“Once attackers breach these outer defences, traditional systems do little to stop their lateral movement. Manual patch management often leaves windows of vulnerability that cybercriminals readily exploit.”
Modern businesses are adopting unified and cloud-based security approaches rapidly.
These systems address the limitations of traditional models by integrating previously separate components.
Unified systems combine technologies into a “single pane of glass” view. When access control and CCTV solutions operate together, for instance, both security aspects can be addressed equally.
This enables automated responses that add layers of protection, improving response times significantly.
All active security systems can be viewed simultaneously from a centralised point. Remote management across locations brings further advantages.
Modernisation doesn’t stop there. CSP Alarms explained: “In the coming years, the rise of multi-sensor systems – combining sound, light and temperature detection – will provide a comprehensive approach to identifying security threats by cross-referencing data from multiple inputs.”
AI has become the cornerstone of effective intruder detection in 2025. Modern systems learn and adapt to evolving threats, unlike traditional approaches.
AI’s power in intruder detection lies in its ability to establish patterns and identify anomalies that human analysts miss.
These systems process vast amounts of data at unprecedented speeds, enabling real-time threat detection across locations.
Advanced pattern recognition identifies subtle signs of malicious activity. This creates a behavioural baseline for what constitutes “normal” in any protected environment.
Today’s intruder detection sensors gather multi-dimensional data through various technologies. Dual or multi-technology sensors combine infrared detection with complementary technologies for enhanced reliability.
New technologies offer security enhancements, but are faced with regulatory and ethical challenges.
Facial and voice recognition technologies have raised privacy issues, but the potential benefits are ensuring a rapid development of technologies.
Compliance is critical; biometric data is special category data and this requires both a lawful basis under Article 6 and a condition under Article 9.
Organisations must conduct Data Protection Impact Assessments for any surveillance systems.
Key compliance principles include: Identifying minimum data needed to fulfil legitimate purposes; providing clear information about how individuals can exercise their rights; implementing appropriate restrictions on viewing and disclosing images; taking additional steps to inform individuals when audio recording occurs.
Privacy-by-design approaches with technological controls supporting compliance offer the most sustainable path forward.
Smart intruder detection has moved beyond simple motion sensors and alarms: AI-powered systems are enhancing the process – but challenges remain – and biometric technologies raise genuine privacy concerns.
Organisations must therefore balance cutting-edge protection with robust data protection practices that comply with UK requirements.
This article was originally published in the July edition of Security Journal UK. To read your FREE digital edition, click here.
