Intelligent analysis is becoming increasingly important in various types of security systems. With the development of AI, the intelligent security systems have also become more precise and reliable when it comes to detecting, identifying, and determining whether physical intervention is needed.
Here follows a summary of how intelligent technology is used in security systems.
The opportunities
Video analysis/facial recognition: this uses advanced image analysis and AI to monitor video feeds from security cameras. They can recognise faces and identify people based on biometric characteristics. It can in turn be used to ensure that only authorised people are allowed access to specific areas and to warn of unknown or unauthorised visitors.
Intrusion detection: using sen-sors and AI to monitor movement in specific areas are examples of this category. Here, the intelligence can detect unwanted or unauthorised activity and generate alarms or warnings in real time. These systems are particularly useful for to protect buildings and areas when unmanned. Here, radar and lidar technology are good examples.
Access control with biometric authentication: here the system uses biometric data such as fingerprints, face recognition or iris recognition to authenticate users. Instead of traditional keys or ac-cess cards, they require biometric identification to grant access.
Automated remedial actions: with the help of AI, these security systems can identify threats and incidents in an automated manner. For example, they can detect intruders, fire or unauthorised access and take immediate action such as activating alarms, shutting down systems or calling emergency services. This saves valuable time and can reduce the risk of injury.
Analytics and insights: intelligent security systems collect vast amounts of data that can be used to generate insights into patterns that may be of security interest. This can help organisations improve their operational security work but also contribute with insights that go deeper into the core business and which in the industry is called “Beyond security”.
The risks
Despite the many advantages, there are also challenges and risks that must be dealt with.
Vulnerability to cyber attacks: intelligent security systems are connected to networks and may be vulnerable to cyber attacks. If not properly protected, they can be a potential door for hackers to gain unauthorised access.
Privacy issues: these systems often collect and store large amounts of data, including video recordings. Privacy issues may arise regarding how the collected information is used and who has access to it. Organisations must adhere to strict data protection regulations and labour law terms to protect user and employee privacy
False alarms: intelligent security systems are not exempt from false alarms, especially if the AI algorithms are not sufficiently trained or if the environment is complex and difficult to describe.
Cost and complexity: implementing and maintaining intelligent electronic security systems can be costly and require technical expertise. Small businesses and organizations can face challenges in financing and administering such systems.
The industry’s challenges
The gradual shift towards intelligent electronic security systems is also affecting the security industry. It can be said to be particularly challenging for traditional commodity deliveries. Some of the challenges they face are:
Technical know-how: traditional suppliers have often had a focus on physical security solutions and have now had to develop competence in digital technology and AI. This requires the recruitment of technically skilled personnel and training to understand and implement intelligent systems, something that may be considered particularly challenging in view of the prevailing labor shortage in almost all sectors of society.
Competition: increasing popularity of computer-based intelligent security systems does not preclude new players, including established software companies and start-ups, from challenging traditional providers by offering innovative and cost-effective solutions.
Adaptation of business models: traditional suppliers have often had a business model that focuses on one-off sales of equipment and installation services. They have now had to restructure and adapt to subscription and cloud-based software delivery to be competitive.
Cyber security management: intelligent security systems are vulnerable to cyber attacks. Suppliers must invest in robust cyber security measures and knowledge to protect their systems and customer data.
Challenges with integration: integrating intelligent security systems with existing infrastructure is technically complex and requires high adaptability. Traditional suppliers must be able to deal with these challenges systematically and with patience.
Intelligent security systems change the conditions for how property is protected, both for business and critical infrastructure. These systems integrate advanced technology and artificial intelligence (AI) to monitor, analyse and respond to security incidents in ways previously unimaginable.
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