Security technology is entering an era driven by the use of artificial intelligence, deeper data analytics, and interoperability between systems. Securitas Technology’s 2026 Global Technology Outlook Report brings together these trends and provides a clear view of how the role of security will change over the coming years. Louhe’s CCO Tatu Monto and Securitas Technology’s New Business Unit Commercial Manager Juha Pieviläinen share their thoughts on the report’s findings and explain what this change means in practice for both corporate security and the future of the industry as a whole.
AI Moves from Experiments to Core Operations
According to the report, 70 percent of organisations are already using AI as part of their security programmes, and its use is rapidly expanding to include generative AI applications. These include automated threat identification, anomaly detection, video search enhancement, automated reporting, and natural language user interfaces. The role of AI is evolving from traditional surveillance to a proactive, continuously learning system that understands what is normal and identifies anomalies in real-time.
The development of AI is rapid and is bringing about major change in the security industry. This rapid development and the speed of implementing new ideas are enabling many new ways to operate and analyse security-related situational data and security environments. However, Juha Pieviläinen of Securitas Technology reminds us to keep a cool head and act thoughtfully. The security industry is governed by very different laws and regulations around the world, but in a global world, products are spreading and becoming widely known quickly.
Artificial intelligence solutions are changing the security industry, and Securitas Technology sees that security is not just technology, but a combination of technology, artificial intelligence, data and human intelligence, creativity and collaboration. Securitas’ AI vision is to bring customers the most advanced and reliable security services on the market to meet their needs and challenges. “We are also committed to the ethical and responsible use of artificial intelligence, adhering to the highest quality, privacy, and security standards in the operating environment,” says Juha Pieviläinen.
Tatu Monto from Louhe continues, “the more sophisticated use cases we move to, the more significant both the quality of the source data and the AI-based technologies applied to its analysis become. The benefits are realised when the observations processed from the source data can be trusted. This is especially emphasised when talking about security, where it is unacceptable for AI to hallucinate.”
Data makes security a learning system
The report highlights how security management is becoming a continuous learning and data mining process. Modern security operations centres collect large data sets that include alarms, access control information, cyber threats, financial data, and operational events. When these are combined, organizations get an even more accurate overall picture of their risks and their development direction.
“Our experience is that, for example, in security control, this shift from reactive to proactive action starts with very practical things. In the first stage, we can analyse, for example, over- or under-authorisation of access control,” Tatu Monto describes.
Combining data from different sources creates the basis for predictive platforms that identify conditions that have previously led to security incidents. At the same time, the prerequisites are created for event correlation and prediction of future risks, i.e., a process that takes security from a reactive operating model towards strategic foresight.
Our experience is that, for example, in security control, this shift from reactive to proactive action starts with very practical things.
Tatu Monto from Louhe says that proactive security already means that unnecessarily broad access rights verified on the basis of data and facts can be corrected, i.e., the extra “attack vectors” from the point of view of physical security can be eliminated. Similarly, under-permitting easily leads to attempts to circumvent security controls.
An alarm centre or security service centre, or in our language SOC (Security Operations Centre), is one of the best examples of an environment where technology and human intelligence and reasoning work together to produce a high-value service for our customers in improving security, adds Securitas Technology’s Juha Pieviläinen. Artificial intelligence brings many opportunities to make this work more efficient, enabling faster reaction times and anticipation when an artificial intelligence system detects a security anomaly in the sensor data stream, which, when viewed by human eyes alone, could be lost in the mass and go undetected.
Human-AI collaboration defines a new operating model
According to the report, the complementary relationship between humans and AI will become more prominent in the future. AI will not replace security professionals but will strengthen their operations. Modern cameras that utilise edge analytics will identify abnormal activity even before humans have time to react. Virtual agents will handle alarm verification and other routine tasks, freeing up human input for more complex and more judgment-intensive tasks.
This collaboration will speed up response times, increase accuracy, and make operations more consistent. According to the report, this is a significant change in how organizations handle security situations and how security professionals make decisions in rapidly changing circumstances.
In this way, we want to genuinely support timely decision-making and help security focus attention on meaningful issues and phenomena.
LOUHE technology has explicitly focused on explainability. Often, a situational picture is thought of as various data visualisations and graphs, but explainability means that the situational picture has the ability to take action on a practical level. “In this way, we want to genuinely support timely decision-making and help security focus attention on meaningful issues and phenomena. We are constantly developing this capability,” Tatu Monto says about Louhe’s systems.
A good example of a live security situation is various large public events and the organisation of their security, which the Securitas Events organisation has long experience with. Juha Pieviläinen says that in live security situations, technical solutions are increasingly being utilised, where the camera system’s artificial intelligence analytics can, for example, alert the situation centre about the gathering of crowds. By utilising this information, security guards moving around the area can be directed to places where the need is greatest.
Louhe enables the detection of these cases from the data, which would otherwise easily be lost in the volume of data
“With Louhe’s solution, we can analyse deviations from the data, for example, movements to restricted access spaces/warehouses. If deviations occur in the use of critical spaces, they must be detected and addressed as quickly as possible. Louhe enables the detection of these cases from the data, which would otherwise easily be lost in the volume of data,” Pieviläinen describes.
An interoperable ecosystem replaces separate systems
Integrating systems and combining data produced by multiple systems into information and refining it into knowledge is the only right path on the way to a safer world, Juha Pieviläinen summarises.
The report explicitly highlights this development towards open and interoperable security solutions. Separate and siloed systems are no longer sufficient to meet current and future requirements, but organizations need entities in which different technologies work seamlessly together. Cloud-based platforms enable real-time management, remote monitoring, automatic operational control, and smooth sharing of data between systems, which improves both responsiveness and operational efficiency.
What used to take days or even weeks to do manually can be done in seconds or minutes with the help of artificial intelligence systems.
Different systems produce complementary information, and without their integration, either by humans or assisted by artificial intelligence, the situational picture remains incomplete, and security decisions must be made with incomplete information. It is a question of reducing risks. Artificial intelligence systems bring efficiency to this by speeding up the processing of huge amounts of data. “What used to take days or even weeks to do manually can be done in seconds or minutes with the help of artificial intelligence systems,” Pieviläinen summarises.
This development not only improves security but also makes processes more efficient, improves scalability and increases the organisation’s ability to react quickly. When systems talk to each other, the management of organisations also has better conditions to make data-driven decisions.
Combining camera surveillance metadata with access control data creates a completely new kind of capability for analysing, for example, human flows.
“It has been interesting to follow our customer projects that utilise data from different source systems together. Combining camera surveillance metadata with access control data creates a completely new kind of capability for analysing, for example, human flows,” Tatu Monto says. There are numerous use cases, such as detecting tailgating and analysing the functionality of perimeter security. Various alarm events and their justification can also be validated when alarm data is analysed in parallel with access control data. “Interesting future prospects that we are promoting with our selected customers include combining physical security observations with cybersecurity observations in SOC environments,” Monto summarises.
The future is built on data, trust and collaboration
It is clear that security will move from reactive practices towards a proactive, data-driven, and system-based future. This is not just a technological development, but it changes the role of security from the perspective of the entire organisation. Security data is now a strategic asset.
Tatu Monto says that he believes that in the future, more and more different sensor data will be generated from the physical operating environment. Data will be obtained from buildings and their exteriors, from both fixed and mobile sensors. “I believe that we will see a change in how and in what ways people connect to this sensor data and how it is utilised,” Tatu Monto summarises.
I believe that we will see a change in how and in what ways people connect to this sensor data and how it is utilised.
Modern AI-based technologies come in, with user interfaces that are extremely user-centric and customisable as needed. At the same time, the operational monitoring of physical security is changing. The operator performing security surveillance work utilises his own AI assistant and is able to understand very complex security-related phenomena in real time and act with unprecedented efficiency to control the phenomena. “For lack of a better example, like J.A.R.V.I.S and Tony Stark, in Marvel’s Iron Man movies – this is hardly true in the short term, where change and its impact are overestimated, but perhaps in the long term, where the impact of change is easily underestimated,” Tatu Monto describes.
Juha Pieviläinen agrees with Tatu: “Tatu’s quote about movies is apt, and the famous quote from Marvel’s Spider-Man movies, ´With great power comes great responsibility´, also works well.” In the case of artificial intelligence, this means developing and using solutions in an ethical and responsible way.
“At Securitas Technology, we are at the forefront of the security revolution. We are constantly exploring new ways to use artificial intelligence to improve security, and we are also looking for leading technology research institutes and innovative, responsibly operating companies like Louhe as our partners,” concludes Juha Pieviläinen.
