Cyber Intelligence

Innovation in Cyber Intelligence

Securing physical and digital assets

Systems Portfolio

Threat Intelligence

Cybersecurity has inevitably evolved from an operational concern to the chief executives’ top priorities. A failure to do so will have major financial and reputational consequences. 3D LiDAR and video intelligence are allowing forward-thinking companies to measure what was once unmeasurable and refine their operations with new data. By leveraging these advanced technologies, large enterprises are creating smart and secure spaces both inside and outside the buildings, facilities, and campuses, and improving both system security and worker safety. These capabilities are accelerating their progress towards securing both physical and digital assets, putting them ahead of the competition.

We deliver AI systems embedding adaptive intelligence-enabled cyber threat detection and remediation solutions beginning with edge devices. Because threats evolve quickly, we provide customizable threat intelligence, letting enterprises choose real-time threat intelligence sources that fit their needs. These capabilities are proven in multiple industries such as retail, manufacturing, healthcare, and smart cities.

The technical architecture integrates advanced machine learning techniques, edge AI processors, and advanced sensor networks. With people, machines, devices, and sensors interconnected via internet, the more things that are online, the more entry points there will be to access and disrupt a system. Hackers constantly find new ways to attack cyber-physical systems and protocols. Augmenting the expertise of cyber professionals, artificial intelligence systems are learning how to monitor unstructured data to detect risks before they emerge. As it continues to learn real-time, these collaborative intelligent systems will be more adept at detecting the difference between a computer glitch and a malicious attack, alleviating the need for security analysts to waste their valuable time on wild goose chases.

Hands-free Authentication

As the first point of entry in all buildings, lobbies will play a critical role when it comes to fighting the spread of Covid-19. With our hands-free authentication system enabled in lobbies, it will screen employees for health, facilitate authorized entry, and enable social distancing. For employees, safety measures have clearly become high stakes. Many workers would not feel safe to return without mandatory measures taking place. Pre-entry health screens and staggered entrance times can send a message that an employer is taking safety seriously. By implementing and enforcing this comprehensive authentication system, employers can create a more positive experience, reduce anxiety, and promote productivity.

Hands-free authentication system has three components. First component is the facial authentication system which uses a camera to sign-in for employees and visitors automatically using machine learning techniques. The authentication process can be done in less than one second per person which is very efficient and convenient. Second component is the visual checklist for Covid-19 compliance that ensures the employees are made aware of social distancing and other requirements within the facilities. And third component is the wall-mounted thermometer to measure and display temperature to complete the entry process. Together, they will ensure safety and give employees and customers a peace of mind when entering the building.

Covid-19 could become cyclical, by placing all the safety measures in place can improve the overall health of the workforce and, as a result, improve overall productivity. Hands-free authentication system provides comprehensive, vast benefits to employees and customers, while being more cost-effective for businesses.

Contact Tracing System

A secure and effective system for contract tracing is critical to disparate workforces in the midst of a pandemic. Particularly in the case of someone receiving a positive diagnosis, notifying those who were in prolonged contact with that person while maintaining confidentiality will be vital to preventing an outbreak. With a reliable and working contact tracing system, employers will be able to keep their employees safe, reduce their liability in case of an office infection and employees will feel protected.

We offer contract tracing system that ensures employees and visitors safety by using existing WiFi network in a building or campus. Our system can accurately pinpoint location and identify the infected person’s contact with other people in a building or campus. Major advantages over existing apps offered by other providers, by physically mapping areas visited by infected people and dispatching our robots to sanitize an exact location. Once the system identifies the infected person, it can automatically set to notify others who have come into contact with that individual. If someone in the office reports a positive Covid-19 or influenza test, co-workers can go into the map and see if they were ever seated nearby.

Visual Surveillance

Visual tracking system detects and tracks the presence of a human face in a digital video frame. It can be primarily used for enterprise applications such as attendance tracking and surveillance. This system can be incorporated into computer applications, mobile applications, and robotics. The AI system competency is to develop a face tracking feature to follow a particular human face as it moves within a video stream using a common RGB camera.

The visual surveillance system is a light-weight application running on the browser or the edge. By using tensorflow.js, image processing and machine learning model inferencing can be done on a browser or end user which reduces back-end server load and processing. The advantage of this application is that it can do pan and zoom digitally without using any hardware parts or any external motor control.

The technical competencies include Tensorflow.js, TinyYOLO, Python, Flask, OpenCV, Numpy, Javascript, and WebRTC. Tensorflow.js is an open source machine learning framework using javascript. By using Tensorflow.js, computation can be done on the edge or at any client devices.
Face tracking enables the development of technologies such as face analysis and facial recognition. When it comes to face analysis, this facial tracking system delivers the following functionalities:

Securing physical and digital assets

AI systems are changing the game for cyber security, learning how to detect and prevent risks before they emerge using machine learning algorithms, deep learning networks, and secured edge processors and sensors.

We specialize in cyber security and edge node security by embedding adaptive intelligence-enabled detection and remediation solutions.

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