AI-Powered Monitoring of Critical Infrastructure

The deteriorating security situation in Europe has raised the threat level for Swedish authorities and companies, resulting in new requirements for how information, operations, and facilities must be protected. These facilities are typically characterised by a mix of indoor and outdoor environments, accessible to staff, contractors, and in some cases the general public. The threats are complex and encompass both external actors and insider-related risks.

The prioritised facilities are subject to stringent security requirements — covering the premises, the technical systems, and the handling of surveillance data. The environments are often complex, spanning everything from server rooms, production lines, and car parks to warehouses, office spaces, changing rooms, and outdoor areas. Access is permission-controlled and time-dependent, with multiple categories of personnel granted entry at different times of the day.

Given the scale of these facilities, sensors and systems generate large volumes of data that are difficult for security personnel to monitor in real time or investigate retrospectively.

The demand for continuous surveillance and the need to identify and address both external threats and insider risks are in tension with a limited workforce and a large number of facilities to cover.

Knowit complements existing security systems with acoustic sensors and fibre optics, and integrates data from existing sources such as cameras, motion detectors, and access control systems. In Knowit's system Yggdrasil, large volumes of data are processed in real time through signal processing, algorithms, and machine learning to detect and classify sensitive activities and abnormal movement patterns. Alarm criteria are defined based on factors such as time of day, zones, and event types — minimising false alarms and making monitoring more precise. In addition to real-time surveillance, critical data is stored to enable analysis of patterns, trends, and threat profiles, creating the conditions for a more proactive and effective security organisation.

The solution integrates with existing security platforms for visualisation and alarm management. The system and its data are implemented on secure, accredited platforms.

The automated monitoring solution strengthens both internal surveillance and perimeter protection. Security-threatening activities can be detected earlier, creating better conditions for initiating the right response in a timely manner. Through more accurate detection and classification — for example distinguishing between animals and human activity — the number of false alarms is reduced, while the system continuously improves through new detection and classification models.

The ability to monitor more and larger facilities in real time without increasing headcount is significantly enhanced. The solution provides greater control and insights into activity within the facility both during and outside office hours.

By analysing trends and anomalies in historical data, security-enhancing resources can also be allocated more efficiently and directed to where the greatest need is identified.

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