Situational Awareness

The best decisions are well informed. Be aware of your surroundings with Overt AI.

Critical National Infrastructure

CNI refers to assets vitally crucial to the foundations and function of a society and its economic health. These assets have tremendous implications if compromised. As a result, they require significant security measures to mitigate, identify and get ahead of risks and threats. Critical infrastructure protection (CIP) forces uphold immense responsibility, ensuring that threats to foundational aspects of society are handled before damages with significant consequences ensue.

Some examples of Critical National Infrastructure are:

  • Transport hubs: Airports, train stations and seaports.
  • Waste facilities.
  • Nuclear power stations and energy distribution infrastructure.
  • Water; reservoirs and water treatment spaces.
  • Critical manufacturing.
  • Critical communications infrastructure.
  • Agricultural facilities.

Making sure those responsible can stop the threats they face is essential. From terrorism to theft, espionage and criminal activity, the potential of illicit intelligence, trespassing and other unwarranted activity remains a constant. Those in charge of protection must have tested and effective security measures in place.


Reducing Risk

A reliable form of bolstering protection is to apply an amalgamation of physical and digital courses of action. Security guards, facility checkpoints and access points provide the essential measures to prevent attempts of foul play. However, biometric, electromagnetic and other physical, automated access scanners are weak points in the defence if the systems can be bypassed or disabled remotely. On the other hand, robust cybersecurity measures for malware detection, data transfer and incoming attacks are useless if the assailant can walk through the front door and obtain what they are after.

Taking a hybrid approach of complementary methods that strengthen the vulnerabilities of one another maximises safety and security. Our solution provides quick and precise monitoring of physical, wireless and bespoke attacks, allowing for fast, well-informed responses.

Cyber Attack

In early 2021 drivers found themselves locked out of their cars at a Royston Tesco supermarket. Their key fobs were suspected to be actively jammed by an unknown source in the local frequency space. The event continued over a week, with police and Ofcom unable to determine the source and motive of the events. While merely an inconvenience to shoppers, the potential damages of similar denial of access attacks are vastly scalable depending on the facilities and their logistical and physical powers.

Our device would have identified and located the interference as it arose, notifying the appropriate personnel of the source and its location, vastly increasing the likelihood of detaining the ones responsible.


RF emissions control in airports is crucial to the efficiency of the facility and the safety of those present. Preventing unauthorised access and interference in the area is of great concern. Besides disruption causing massive, accumulated costs reaching millions of dollars, signal jamming that breaks communication between pilots and ground control, interference or a trespassing drone could cause accidents and loss of life.

In recent years there has been increasing cases of commercially bought drones [LINK] being flown into or close to airports and aircraft. While many incidents are not malicious in intent, the risks an unauthorised drone poses to safety and security are significant. Without oversight and offensive capabilities to identify and prevent drone activity, airports often rely on eye-witness accounts which are unreliable and ineffective.

Overt AI provides airports with the capability of instantly identifying, geolocating and tracking anomalous RF activity. Once a signal is detected, our system analyses its behaviour, determining the type of device and whether it should flag it for closer attention. A hybrid approach of geolocation and direction-finding is instantly applied to pinpoint the locations of interference, machines and operators with a real-time map of movement. On-site staff are alerted and fed essential information while any integrated systems utilise the information to help handle the issue.

To learn more about Overt AI’s geolocation, direction-finding, and interference hunting capabilities, click here.


Airborne Threat

Many vital CNI facilities attract airborne threats, causing disruption, interference, or other, more purposeful, ill-intentioned activities such as surveillance and physical damage. Military outposts, prisons, chemical factories, nuclear power stations and waste facilities are just a few facilities and infrastructural assets under aerial threat. Physical, ground-level security is not enough. The protection of critical infrastructure assets would notably benefit from highly efficient, next-generation RF solutions.

Read more about drone and UAS defence capabilities here.

Airborne Threat

Adaptable Awareness

Having clear awareness of the invisible battle space and the items working within it allows organisations to make more effective operational and security decisions at a faster pace. Increased awareness also speeds up response times to incoming issues, from dramatic changes in footfall to unwanted activity. Overt AI provides around-the-clock coverage and account of the activity in your RF space to protect CNI from an array of physical, cyber and electronic attacks. Our deep-learning capabilities save you time and human resources by providing an automated layer of security in addition to existing physical measures.

This cutting-edge solution is widely applicable and would be an effective measure for understanding footfall for building management and the taxonomies of individuals in any given area. There is no cookie-cutter approach as each organisation and its facilities face a diverse range of threats and challenges.

Contact us to find out how Overt AI can secure your space.


To find out more about Drone Defence, and to view a demonstration, please get in touch.