Duncan is an award-winning editor with more than 20 years experience in journalism. Having launched his tech journalism career as editor of Arabian Computer News in Dubai, he has since edited an array of tech and digital marketing publications, including Computer Business Review, TechWeekEurope, Figaro Digital, Digit and Marketing Gazette.
Managed hybrid cloud service provider Brightsolid has launched its first Managed Detection and Response (MDR) service, tailored specifically for organisations in Scotland and the north of England.
Headquartered in Dundee with offices and data centres in Aberdeen, the company has been delivering managed services to the UK private and public sector for 25 years. It identified a need for a cybersecurity product tailored to its market, offering proactive protection against threats without overly restrictive fees.
Brightsolid’s MDR equips organisations with an experienced in-house Security Operations Centre (SOC) team to monitor and secure infrastructure 24 hours a day, seven days a week, 365 days a year and shield organisations from malicious threats and activities.
The SOC team undertakes threat intelligence, case development, threat hunting, incident containment and remediation activities. The service also includes incident response capabilities, triage analysis and guidance on mitigating priority and complex incidents.
Brightsolid’s MDR has been built to provide protection against common, advanced and evolving threats with a best-in-class cybersecurity portfolio. Industry-leading Microsoft platforms Sentinel and Defender are structured alongside Brightsolid’s SOC for a multi-layered approach that builds comprehensive and in-depth security, while supporting long-term cybersecurity strategies.
Elaine Maddison, CEO of Brightsolid (pictured), said: “We’ve all read about the high-profile victims of cyber-attacks but companies seeking MDR services have found that the products on offer tended to be expensive and variable in quality.
“There wasn’t a product in the market that we were happy would protect our customers for a cost that made sense, so we’ve spent the last year developing our own. We’ve combined the best people with the best technology to bring our MDR to the market but we’re not going to charge a premium for the service.
“Every organisation is a potential victim, and time lost understanding and prioritising alerts can lead to significant financial and reputational damage. It’s important that, whatever an organisation’s size, they can have the reassurance that they are protected from threats.”
How Computer Vision Paired with AR Can Be Used for Navigation Aide
AR and computer vision in navigation have become significant for automotive industries to provide information about movements in different places.
The future of driving may be the driverless car. AR and computer vision in navigation are being preferred by some automotive companies lately. One of the most popular brands in this segment is Tesla. The company has been focusing on developing autonomous electric vehicles for the past few years and has now set its eyes on a new frontier – augmented reality.
How Computers Interpret The World And What’s Different With Augmented Reality
Augmented reality is a computer-generated, interactive experience of a real-world environment, where the objects that reside in the real world are “augmented” by computer-generated perceptual information. Using augmented reality in navigation will help to know the real world by adding virtual components to them where the virtual objects comprehend and follow the real-world physics. Augmented reality differs from virtual reality because it interacts with the natural world and not just an artificial environment. Augmented reality relates virtual reality with real-world physics and comprehends the physics rules so they can be connected to objects. The use of AR and computer vision in navigation will help people traverse through the maps and find the exact location they are looking in the form of signs, symbols, and landmarks. Let’s explore this further in detail.
How Computer Vision is Used in Maps to Create Navigation Aids in Real Time
Computer vision is a type of artificial intelligence that helps create navigation aids in real-time. Computer vision application in maps has been around for a while now. Still, it has grown exponentially over the past few years. It can track the user’s location and orientation to provide directions. It can also help with other tasks like detecting traffic, locating parking spaces, and identifying objects of interest.
AR and Computer Vision in Navigation in Vehicles – The Future of Driving?
Tesla’s CEO Elon Musk has revealed that they are working on a new feature called “Tesla Vision,” which would allow drivers to see important information about their surroundings, such as signs, traffic lights, and pedestrians, in real-time by overlaying it onto their windshields. Drivers can navigate through any environment with just one camera sensor. This technology can also warn drivers about potential accidents and dangers or even take control of the vehicle if necessary.
The Future of Navigation Is Here and It’s Promising
In the future, AR and computer vision will be more helpful to the users by providing ideas about which road to take for driving or which place is available for parking. AR and computer vision are likely to be used most commonly for navigation in the future. AR and computer vision in navigation is the future as they will make our lives easier and more productive.
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