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TECHNOLOGY

Technologies Revolutionizing Approach to CyberSecurity

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For many years, there was a traditional security approach to protect any business from cyber crime, but in recent years the leaps of software have made risks ever more alarming.

In the 90’s a video camera was sufficient at keeping intruders at bay, but advancements in security tech nowadays have long advanced those simpler systems.

Digital systems gradually became as much at risk as physical buildings, leading to advancements in security, including on-premises access control and cybersecurity teams.

As more technologies embrace the internet of things, there are more new vulnerabilities. Security is needed to protect its digital and physical assets from all threats, including cyber and physical attacks.

To achieve this level of protection, you need to consider some of the latest technologies revolutionising security approaches.

Here are three prominent technologies revamping how security teams protect businesses for you to consider for your business.

By transitioning security technology to the cloud, converging your security teams, and selecting a mobile-first design for your system, you can bring your security systems to the next level for enhanced protection and easy use.

Cloud-Based Video & Access Technology

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Video surveillance and access control technology are two of many types of security tech to reap the rewards of technological advancements in the last decade. The latest upgrades have seen video and access technology transition to the cloud for greater scalability and flexibility.

With the cloud, physical access control systems have been able to update over the air and offer better quality services to businesses.

Now, access control to your video camera can be managed remotely and can offer benefits such as touchless access, keyless entry, and guest identity verification at the door using video intercom systems. These modern forms of access control allow security teams to manage the facility without being on-site and with minimal management.

Similarly, a smaller workforce is needed to manage cloud-based video surveillance systems, as cloud-based systems often incorporate elements of automation to streamline the process. As a result, there is less management required from security teams, which sufficiently reduces costs for a better quality system.

Updating your existing systems with cloud-based technology cuts costs in more than one way. As well as reducing the workload, cloud-based tech also removes the need for on-premises hardware as security manages it remotely. This saves space that can be reused for another purpose, such as an office, and reduces maintenance costs for the system sufficiently.

Advancements in technology have presented you with the opportunity to reduce costs, reduce the workload placed on your security team, and have premium security technology protecting your business all at the same time. With cloud-based technology, your business is ready for anything.

The same applies to regular households as well, comments Locksmith Earl. Advancements in corporate-grade security are gradually getting applied to homes, and the leaps in having your home under the radar 24/7 are like never before.

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Converging Physical & Digital Security 

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Cyber and physical security have always operated independently, each focusing on their own systems and the threats that they incur. For many years, this worked successfully, as cyber and physical threats remained divergent until now.

With physical security technology’s transition to the cloud, the threat landscape of businesses is evolving, comments Techgearoid.com. Now, hackers can infiltrate physical security systems through the cloud to gain access to the building or steal sensitive data. Your business is more at risk of attack, and to protect it, you need to update your security system.

The best way to address all of these threats is to converge your digital and physical security teams into one ultimate team. Together, physical and cybersecurity teams can openly communicate about any potential threats to the business, evaluate their security systems, and create effective security strategies that protect the company from every angle, notes Advanced Firewall Solutions.

As well, by working cohesively, the converged security team can improve their approach for the future by gleaning a greater amount of data about system vulnerabilities. Then, they can leverage this data to inform their security strategies going forward.

Converged security has countless perks and will overall improve your existing security system. Your separate teams will be able to communicate effectively, allowing for a better response to active and future incidents.

Mobile-Friendly Interface

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With technology transitioning to the cloud, there is ample opportunity to connect it to mobile devices. Mobile phones remain one of the most popular forms of technology that most people have and frequently use throughout the day.

They are an item that most people don’t leave home without, which makes them great for receiving important updates and messages. Therefore, phones are ideal for security updates and managing smart devices. 

By getting security updates on your phone, you can receive real-time information about your business’ safety, and your team can formulate a response promptly. You could also monitor and alter smart devices via applications on mobile phones for when you are out of the house.

Mobile-friendly interfaces are ideal for making security technology management easier. However, it requires product design teams to adopt a mobile-first design plan, as mobiles have many limitations due to their small size and capabilities. By selecting security technology made with a mobile-first design, it will be accessible through any mobile device, making it more user-friendly. 

Endnotes

Nowadays, businesses need to protect both digital and physical assets from all threats, including cyber and physical attacks, more than ever. That’s why it’s absolutely mandatory to consider some of the latest technologies revolutionizing security approaches. Cloud-based video surveillance and access control technology are two of many types of security tech to reap the rewards of advances in the last decade. Cloud-based technology removes the need for on-premises hardware, as security manages it remotely. This saves space that can be reused for another purpose, such as an office, and reduces maintenance costs.

The best way to address all of these threats is to consult both digital and physical security experts, be it as part of your team or consultants. With technology transitioning to the cloud, there is ample opportunity to connect it to mobile devices. By getting security updates on your phone, you can receive real-time information about your business’ safety. You could monitor and alter smart devices via applications on mobile phones for when you are out of the house.


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Four Cutting-Edge Technologies That Enhance User Experience

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Four Cutting-Edge Technologies That Enhance User Experience

The Future of UX Design: Four Cutting-Edge Technologies That Enhance User Experience

At the dawn of the computer age, PCs did not have a graphical user interface.

Only employees of scientific institutions could work with them. With the help of special commands, they accessed an operating system through a console. In the 1970s, Xerox PARC managed to make technology clear for people by developing a GUI. The era of personal computers began. Nowadays, it is hard to amaze users who have already seen iOS, Android, MacBook, and Apple Watch with previous computer achievements. User experience does not stand still, and innovations that challenge UX design constantly appear. Let’s take a look at four promising UX design techniques. 

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1. Voice User Interface 

In his book The Design of Everyday Things (the “bible” of usability), Professor Don Norman states the main goal of UX/UI designers. They need to provide users with pleasant and simple product experience. Designers should always put themselves in the client’s shoes and solve their problems most conveniently.

At present, an average user needs a keyboard, mouse, or touch screen to work with an application interface. However, the future of devices is often seen as interfaceless. Golden Krishna has written a book on this topic called The Best Interface Is No Interface: The Simple Path to Brilliant Technology. But is it possible to work without an interface? Yes, you can easily do it with the help of voice and virtual assistants like Amazon Alexa, Google Home, Siri, and others.

In 2019, there were 2.45 billion voice assistants. By 2023, their number will equal the number of people in the world and will be approximately 8 billion. VUI is a hot trend in design, and IT professionals need to learn how to build efficient voice interfaces.

A voice interface does not have a visual representation. Therefore, the main task of designers implementing a VUI solution is to research the target audience, its goals and pains, develop interaction scenarios with a voice device, and prepare a text message from the user and device responses.

Designers need to analyze how clients will interact with a device and determine what they may need a VUI for. They need to collect terms and phrases that customers use more often. This data will be useful to build conversations between a person and a device.

Then they should consider scenarios for using the VUI and make sure that the voice assistant solves the problem most simply and efficiently. For example, if a person asks an assistant for a route from Chicago to New York, the device must understand the request and provide the necessary information in the correct context. Voice interaction should be constantly improved in each design iteration so that smart assistants recognize speech and its meaning correctly.

After working with dialogs, designers need to develop a voice interface, test it and continue to improve it. If everything is carried out correctly, a business will gain a competitive advantage over companies that have not embedded voice assistants into their applications.

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2. Touchless Gesture Control

Previously, people needed styluses and touch screens to work with smartphones. But in the future, users won’t need to touch their phones at all to turn on music, answer a phone call, or increase the volume. In 2015, Google presented its Soli technology by introducing a miniature radar reading every human movement.

Since then, designers have been talking about touchless gesture control, a new way of human interaction with devices and applications. Examples of this are the Google Pixel 4 smartphone and the Airtouch dashboard from BMW. The latter allows drivers to change the volume of music or receive calls without taking their eyes off the road.

What does this innovation mean for designers? UX/UI professionals need to think about navigation, action, and transformation gestures that will allow them to control the content of devices. The movements must correspond to the ergonomics of the human body, be simple and not require great physical effort. The design community hasn’t yet developed common gestures for UX, so you can create your own. You can base it on real-life experience and make it as simple as possible to reproduce.

Users must be provided with textual or visual hints allowing them to learn a sign language. Also, do not forget about people with disabilities who may have problems with fine motor skills. Therefore, designers should also implement an alternative interface, with the possibility to connect joysticks or electronic devices. 

Touchless gesture control opens up a new accessible user experience for customers, building unique ways of interacting with an application.

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3. Artificial Intelligence

AI is widely used to create voice assistants. A smart algorithm can also optimize the work of UX designers.

Personalization is the queen of UX. McKinsey estimates that 71% of consumers expect firms to have a personalized experience, and companies that succeed in it increase revenue by an average of 40%. To provide a personalized experience, IT professionals need to analyze a huge amount of user data, then segment it and provide customers with relevant content only. AI is extremely helpful in analytics. Using archive data, the algorithm predicts a user action or request and suggests the best UX option to a designer. Thus, AI in UX allows you to optimize interface modules, present an improved experience and increase the value of a product for a wide audience.

AI in UX will automate repetitive simple designer tasks. For example, it can perform color correction and photo resizing, while a UX specialist solves more important tasks. Of course, AI developers have impressive ideas. They want to teach a smart algorithm to understand sketches and turn them into user interfaces. By the way, this feature has already been implemented in a designer assistant, an application based on AI Uizard.

Content generators for design layouts are built on AI. A designer usually needs a lot of time to fill in text and photos to create content that is close to reality. Generative adversarial networks use a smart algorithm to automatically fill layouts with real content. There are similar solutions on the market. Take, for example, the This Person Does Not Exist platform which generates photos of non-existent persons based on images of real people. Such software already frees UX designers from certain tasks and responsibilities, allowing them to devote all their attention to perfecting layouts.

4. Virtual Reality

As science advances, VR/AR/MR in UX are actively penetrating healthcare, education, eCommerce, and other industries. According to researchers, in 2021, these technologies cost $28 billion. By 2028, they are predicted to grow to $250 billion. This is a powerful trend that UX designers cannot disregard.

Designers follow the same pattern when implementing VR solutions. They research the customer and the target audience to create UX. The difference is that in VR applications, the client is not a bystander but an active participant. To plan digital interactions for these applications, specialists should use the storyboard technique and get their ideas down on paper first.

It is also important to consider the duration of a VR session. As a rule, it does not exceed 20-30 minutes because people get tired and lose concentration. If a session in a VR application lasts longer, designers should consider the option of saving the progress and returning to it afterward. A UX designer needs to correctly calculate the scale of the VR space so that users do not get lost in an environment that is too large or does not experience discomfort in a small area.

It is important to consider the VR space issues that prevent the most common problem – motion sickness. To do this, you can create fixed points in space or a static horizon that remain motionless while a user moves. Thus, the person can focus on something so as not to feel dizzy. Designers should also take care that the user keeps the same speed, there are no sharp drops, and there are “staging posts” for rest. Sound accompaniment corresponding to the actions taking place in virtual space will also help a person avoid disorientation and motion sickness.

For a convenient adaptation of users to VR, specialists need to consider a system of hints that guide customers along the way. They should avoid using too much text: in a virtual environment, excessive reading provokes eyestrain. It is better to add audio instructions, visual effects, and simple sentences to convey important information. Users will be grateful for such care.

Conclusion

UX design technologies improve the customer experience by providing users with new opportunities and more convenient interactions with applications. UX designers have to adapt to new trends to offer clients an easier and more inspiring way to solve problems. As you can see from the examples above, VUI, touchless gesture control, AI, and VR do a good job of UX tasks. For a professional designer, knowledge of these technologies is a must. For a business, they mean an opportunity to increase revenue through an improved CX.

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Why Decision Intelligence Is Important

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Why Decision Intelligence Is Important

Traditional decision-making techniques will lose effectiveness as firms become more complicated.

Tech leaders must use decision intelligence models to enable exact and contextualized decisions.

Because it is difficult to identify potential disconnections associated with behavioral models in a commercial environment, many current decision-making models need to be more logical. With the aid of machine learning and AI algorithms, decision intelligence may help organizations make better decisions. Decision intelligence is the use of automation and machine learning to support human judgments in order to make business judgments that are more accurate and swift.

To do this, decision intelligence gives anyone the tools to ask and respond to ‘what, why, and how’ kinds of questions of unaggregated data, significantly decreasing the time and effort required to develop strategic, operational decisions. Employing decision intelligence promotes automation without undervaluing the importance of human judgment, expertise and intuition. However, businesses must persistently work to increase their daily operations’ productivity and eradicate bias in their decision-making processes. By utilizing data analytics, artificial intelligence and machine learning for precise decision-making, decision intelligence can assist businesses in accomplishing more with less.

Why Decision Intelligence Is Important

Decision intelligence becomes extremely important as it enables businesses to make accurate decisions. Below are a few pointers of decision intelligence that make it a critical decision-making tool for businesses to succeed.

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To Rethink

Today’s work is frequently dull and unfulfilling, negatively affecting productivity and happiness. Due to the time saved by decision intelligence, businesses will eventually need to stop defining people by their employment and think about decreasing dull work. This will enable them to produce more purposeful, original and creative work.

To Redefine

Decision intelligence is changing the way we learn and think. Analyzing data, gaining insights, creating forecasts, and assisting in decision-making are all aspects of thinking and learning skills. By combining and unlocking the distribution of distinctive information, data intelligence frameworks help to redefine and increase the breadth of end-to-end business workflows.

To Reinvent

Data intelligence will be highly crucial and beneficial for businesses to strengthen their competitive edge, develop detailed customer segmentation, anticipate market needs, and develop customer-centric strategies. Thereby, it can assist businesses in reinventing new customer acquisition business models.

To Repurpose

A data-driven environment with a technology base that enables organizations to synthesize information, learn from it, and apply insights at scale can be built by firms through leveraging decision intelligence. This will accelerate decision-making, increase agility and resilience and develop a business culture that supports organizational-driven initiatives with a purpose.

 

Decision intelligence does not eliminate human judgment from the decision-making process. Instead, it is vital to equip humans with AI and a more comprehensive, approachable perspective of all the data pertaining to their businesses so that they can make effective business decisions. It allows businesses to process and forecast data in order to make more educated decisions at every level of the organization. Additionally, it assists organizations in gaining better visibility into their operations and producing game-changing business results. Furthermore, with tons of data insights to consider in the decision-making process in this digital era, the next stage of digital transformation will involve having assistance in making wise decisions. Decision intelligence will enable businesses to deliver predictive outcomes as data and insights become more crucial.

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TECHNOLOGY

NLP & Computer Vision in Cybersecurity

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NLP & Computer Vision in Cybersecurity

Natural language processing (NLP) and computer vision are two branches of artificial intelligence (AI) that are disrupting cybersecurity.

NLP is the ability of computers to understand and process human language, including speech and text. In cybersecurity, NLP can be used for fraud detection by analyzing large amounts of text data, such as emails and chat logs, to identify patterns of malicious activity. NLP can also be used for threat intelligence by analyzing data from various sources, such as news articles and social media, to identify potential security threats.

Computer vision, on the other hand, refers to the ability of computers to interpret and understand images and videos. In cybersecurity, computer vision can be used for password cracking by analyzing images and videos that contain passwords or other sensitive information. It can also be used for facial recognition, which verifies the identity of individuals who access sensitive information or systems.

Cybersecurity is a critical issue in our increasingly connected world, and artificial intelligence (AI) is playing an increasingly important role in helping to keep sensitive information and systems secure. In particular, natural language processing (NLP) and computer vision are two areas of AI that are having a major impact on cybersecurity.

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Source: Masernet

NLP and computer vision have the potential to revolutionize the way organizations approach cybersecurity by allowing them to analyze large amounts of data, identify patterns of malicious activity, and respond to security threats more quickly and effectively. However, it’s important to be aware that AI itself presents new security risks, such as the potential for AI systems to be hacked or misused. As a result, organizations must adopt a comprehensive and well-informed approach to cybersecurity that takes into account the full range of risks and benefits associated with AI technologies. Here are 4 ways NLP & computer vision are useful in cybersecurity.

1. Detecting Fraud

NLP can be used to analyze large amounts of text data, such as emails and chat logs, to identify patterns of fraud and other types of malicious activity. This can help organizations to detect and prevent fraud before it causes significant harm.

2. Analyzing Threats

NLP can also be used to analyze large amounts of text data from a variety of sources, such as news articles and social media, to identify potential security threats. This type of “big data” analysis can help organizations to respond to security threats more quickly and effectively.

3. Preventing Password Cracking

Computer vision can be used to crack passwords by analyzing images and videos that contain passwords or other sensitive information. This type of technology can help organizations to better protect their sensitive information by making it more difficult for attackers to obtain passwords through visual means.

4. Improving Facial Recognition

Computer vision can also be used for facial recognition, which can help organizations to improve their security by verifying the identity of individuals who access sensitive information or systems.

Conclusion

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Source: Visua

AI technologies like NLP and computer vision are playing an increasingly important role in helping to keep sensitive information and systems secure. These technologies have the potential to revolutionize the way that organizations approach cybersecurity by allowing them to analyze large amounts of data, identify patterns of malicious activity, and respond to security threats more quickly and effectively. However, it’s also important to recognize that AI itself presents new security risks, such as the potential for AI systems to be hacked or misused. As a result, organizations must take a holistic and well-informed approach to cybersecurity that takes into account the full range of risks and benefits associated with these powerful new technologies.

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