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    1Jun, 2023
    Security Technologies

    Introduction to Security Technologies

    The following article, Security Technologies, provides you with an outline of the most common technologies used in security. We all aware of the pace with which the internet is growing. For everything that we had to travel or to stay in long queues for longer, the Internet had made them easy for us, and now almost all of the things are available at our fingertips. In simple words, we can say that it is not easy to imagine a single day without the internet. It is known to everyone that everything had two sides: pros and cons, and the same applies to the Internet as well. With the fast increase in Internet usage, the attacks happening in organizations have also been increased. For contemporary business or organizations, a new challenge has been evolved that protects their body from cyber attacks. Here we will be discussing the technologies that are available to protect the organizations from cyber attacks so that the flow of their operations remains smooth.

    1. Data Loss Prevention

    Data Loss Prevention may be defined as the technology concerned with validating if the data sent out from the organization is sensitive enough to hinder the business. Usually, the data are sent through emails and under this technology, the mails have been monitored to ensure that it is not carrying the confidential data out from the organization. By virtue of this technology, all the emails and their attachments are monitored closely to ensure that all the data sent outside the organization are appropriate and not something confidential.

    2. Intrusion Detection System

    An intrusion Detection System(IDS) can be defined as the technology which monitors all the traffic that enters the organization to ensure that those are not malicious. It can also be considered a tool responsible for checking the traffic and raising the alert if the traffic is found malicious or appears to be originated from the untrusted source. This technology is mainly concerned with giving a close view of the traffic to ensure that it is something that the organization should allow to get in.

    3. Intrusion Prevention System

    Intrusion Prevention System(IPS) may be defined as the technology or tool that takes action against the traffic that is labelled malicious by the IDS. Usually, the IPS drops the packet entering into the system once it is considered untrusted. It is the main protection point that makes sure that malicious traffic should not enter into the organization’s network. It is IPS that makes sure that all the traffic that enters the system should comply with the policies that are defined by the organizations so that it should not affect the working of the systems in any way.

    4. Security Incident and Event Management

    It is also known as SIEM. It is mainly concerned with invoking the alert once anything unusual is found on the organization’s network. Several tools can be integrated into SIEM to make sure that anything that is malicious must generate the alert so that the security team could take action against it and keep the internal environment protected. It also keeps track of the logs that are generated while ensuring the security of the network. It can also be considered as the central system that has other tools attached to it. All the tools work as peers that protect the network in their own way.

    5. Firewall

    The firewall works as the first layer of protection of any system or network. There are various types of Firewalls based on their role. In order to protect the internet, network firewalls are used, while in order to protect the web application, there are web application firewalls. This technology has been developed to ensure that the internal network is protected from unusual traffic, and nothing malicious could make it to the internal network. The technology ensures that the ports should be open only for the appropriate communication, and the untrusted data should not hit the system anyhow. The firewall could either allow the traffic to enter or could configure the port filtration to make sure that all the traffic passes through it must be useful for the service running on any particular port,

    6. Antivirus

    Antivirus is another technology used in cybersecurity. As its name states, it protects the system from the virus. The virus is nothing but the malicious code that makes the host or network to take unexpected actions. It is deployed in the network and can also be used as endpoint protection. All the devices connected to the network can have an antivirus installed in them to protect themselves from virus attacks. In order to detect whether the particular file is a virus, the antivirus used the signatures present in the repository of that antivirus. The latest antivirus has the capability to leverage the anomalies to detect the virus and take action against it.

    Resource : https://www.educba.com/security-technologies/

    24May, 2023
    5 emerging security technologies set to level the battlefield

    The war between data defenders and data thieves has been described as a cat-and-mouse game. As soon as the white hats counter one form of black-hat malicious behavior, another malevolent form rears its ugly head. How can the playing field be tilted in favor of the infosec warriors? Here are five emerging security technologies that may be able to do that.

    1. Hardware authentication

    The inadequacies of usernames and passwords are well known. Clearly, a more secure form of authentication is needed. One method is to bake authentication into a user’s hardware. Intel is moving in that direction with the Authenticate solution in its new, sixth-generation Core vPro processor. It can combine a variety of hardware-enhanced factors at the same time to validate a user’s identity.

    Intel has built on previous efforts to dedicate a portion of the chipset for security functions to make a device part of the authentication process. Good authentication requires three things from users: what they know, such as a password; who they are, such as a username; and what they have, such as a token. In the case of Authenticate, the device becomes the what-you-have.

    “This isn’t new,” said Scott Crawford, research director for information security at 451 Research. “We’ve seen this in other manifestations, such as licensing technologies and tokens.”

    Hardware authentication can be particularly important for the Internet of Things (IoT) where a network wants to ensure that the thing trying to gain access to it is something that should have access to it.

    However, Crawford noted, “The most immediate application for the technology is for authenticating an endpoint in a traditional IT environment — laptops, desktops, and mobile devices using Intel chipsets.”

    2. User-behavior analytics

    Once someone’s username and password are compromised, whoever has them can waltz onto a network and engage in all kinds of malicious behavior. That behavior can trigger a red flag to system defenders if they’re employing user behavior analytics (UBA). The technology uses big data analytics to identify anomalous behavior by a user.

    “There’s a lot of interest in this in the enterprise,” 451’s Crawford said.

    He explained that the technology addresses a blind spot in enterprise security. “Once an attacker gains entry into an enterprise, what happens then?” he asked. “One of the first things they do is compromise credentials. So then the question becomes, Can you differentiate between a legitimate user’s activity and an attacker who has gained entry, compromised a legitimate user’s credentials and is now looking for other targets?”

    Visibility into activity that does not fit the norm of the legitimate user can close a blind spot in the middle of the attack chain. “If you think of the attack chain as initial penetration, lateral movement, and then compromise, theft, and exfiltration of sensitive data, the middle links in that attack chain have not been very visible to enterprise security pros, and that’s why the interest in user behavior analytics today,” Crawford said.

    Comparing a user’s present behavior to past behavior isn’t the only way UBA can identify a malicious actor. “There’s something called ‘peer analysis’,” explained Steven Grossman, vice president for program management at Bay Dynamics, a threat analytics company. “It compares how someone is behaving compared to people with the same manager or same department. That can be an indicator that the person is doing something they shouldn’t be doing or someone else has taken over their account.”

    In addition, UBA can be a valuable tool for training employees in better security practices. “One of the biggest problems in a company is employees not following company policy,” Grossman said. “To be able to identify those people and mitigate that risk by training them properly is critical.”

    3. Data loss prevention

    A key to data loss prevention is technologies such as encryption and tokenization. They can protect data down to field and subfield level, which can benefit an enterprise in a number of ways:

    • Cyber-attackers cannot monetize data in the event of a successful breach.
    • Data can be securely moved and used across the extended enterprise — business processes and analytics can be performed on the data in its protected form, dramatically reducing exposure and risk.
    • The enterprise can be greatly aided in compliance to data privacy and security regulations for protection of payment card information (PCI), personally identifiable information (PII) and protected health information (PHI).

    “There’s been a lot of security spending over the last several years, and yet the number of records breached in 2015 went up considerably over the prior year,” noted 451’s Crawford. “That’s contributing to the surge in interest in encryption.”

    However, as John Pescatore, director of Emerging Security Trends at the SANS Institute, points out, authentication plays an important role in data loss prevention.

    4. Deep learning

    Deep learning encompasses a number of technologies, such as artificial intelligence and machine learning. “Regardless of what it’s called, there a great deal of interest in it for security purposes,” 451’s Crawford said.

    Like user behavior analytics, deep learning focuses on anomalous behavior. “You want to understand where malicious behavior deviates from legitimate or acceptable behavior in terms of security,” Crawford explained.

    Instead of looking at users, the system looks at “entities,” explained Brad Medairy, a senior vice president with Booz Allen. “Exact business analytics and recent developments in machine-learning models mean we are now able to look at the various entities that exist across the enterprise at the micro to the macro levels. For example, a data center, as an entity, can behave a certain way, similar to a user.”

    Use of machine learning can help stamp out the bane of advanced persistent threats, added Kris Lovejoy, president of Acuity Solutions, maker of an advanced malware detection platform. “With its ability to decipher between good and bad software, at line speed, machine-learning technologies will offer a significant boon to security practitioners who seek to decrease time to advanced threat detection and eradication,” she said.

    Crawford said he expects investments in deep learning for security purposes to continue. He added, however, that “the challenge for enterprises is there are a lot of companies coming to market with similar approaches for the same problem. Differentiating distinctions from one vendor to another is going to be a major challenge for enterprises in the coming year and beyond.”

    5. The cloud

    “The cloud is going to have a transformative impact on the security technology industry generally,” Crawford said.

    He explained that as more organizations use the cloud for what has traditionally been the domain of on-premises IT, more approaches to security that are born in and for the cloud will appear. On-premises techniques will be transitioned to the cloud. Things such as virtualized security hardware, virtualized firewalls, and virtualized intrusion detection and prevention systems. But that will be an intermediate stage.

    “If you think about what an infrastructure-as-a-service provider can do on a very large scale for all of its customers, there may not be the need to pull out all the defenses you need on-prem,” Crawford said. “The infrastructure-as-a-service provider will build that into their platform, which will relieve the need to do that for the individual cloud customer.”

    SANS’ Pescatore added that government agencies and private industry have increased the security of their data centers by using IaaS services such as Amazon and Firehost. “The GSA FedRAMP program is a great example of ‘certified secure-enough’ cloud services that make it easier for the average enterprise to have above-average data center security,” he said.

    These five should help out the infosec warriors get the upperhand. Any we missed? Which technologies do you suggest will move the needle on information security? Weigh in via the comments below.

    Resource : https://techbeacon.com/security/5-emerging-security-technologies-set-level-battlefield

    17Feb, 2023
    How to maintain effective cyber security by using the latest technologies in 2023

    The rapid evolution and pervasiveness of technologies like artificial intelligence (AI), quantum computing, 5G, and the Internet of Things (IoT) are opening up a wealth of growth opportunities for businesses across a wide range of industries. However, these advancements also broaden the attack surface, providing a variety of cybersecurity risks and giving hackers new ways to corrupt, abuse, and damage critical IT assets. According to the Indian Computer Emergency Response Team, 3.63 million cybersecurity incidents in India were reported between January 2019 and June 2022.

    The need for Cybersecurity

    The scope of deploying efficient cyber posture in an organisation includes defending endpoints and protecting information from cyber-attacks and threats. In the digitalised world, numerous cyber threats exist, and as a result, it can be challenging to keep up with cybersecurity strategy and operations. Protecting from unauthorised access, disruption or damage to the targeted computer systems, stealing or destroying data is a crucial function of cyber security. Cybersecurity and Data security are extremely important today because they protect your personal and business information. Unaware of hazards, few unintentionally give their information, which leaves them open to cyberattacks. 

    Even after adhering to security policies, procedures, and access privileges and complying with cyber laws, organisations still experience insider threats, Data theft, and social engineering attacks. As technology advances, more data is stored, shared, and accessed online; the number of threats also increases. 

    The ethics of cyber security pertain to the moral principles and values that guide decision-making and actions related to protecting information and assets in the digital realm and ensuring society’s overall safety and well-being.

    Types of Cyber-threats

    Keeping up with emerging technology, it’s important to note that the threat landscape is constantly evolving, and new types of cyber threats are constantly emerging. It’s essential to stay informed and implement security measures that can protect against a wide range of threats.

    Mentioned below are some common cyber threats which usually affect cyber security:

    • Ransomware is a sort of malware that encrypts a victim’s files and demands a ransom payment to restore access.
    • Malware includes programmes like Trojan horses, worms, computer viruses, and spyware that are used to harm internet users by stealing their data.
    • An attack known as social engineering uses human contact to persuade users to circumvent security precautions in order to obtain sensitive information that is ordinarily protected.
    • Phishing is a type of fraud in which fraudulent emails that appear to be from reliable sources are sent; nonetheless, the purpose of these emails is to obtain sensitive information, such as login or credit card information. 
    • Insider Threats: An insider threat is a malicious threat to an organisation that comes from people within the organisation, such as employees, contractors, or business partners.

    How to maintain effective cyber security

    In the past, businesses and governments have responded to cyber threats reactively. While reactive strategies focus on containing and mitigating the impact of a security incident rather than preventing it from happening, reactive strategies can be an important part of an overall cybersecurity strategy but are not sufficient on their own. This strategy is costly and complicated. Frequent computer breaches continue to dominate headlines damaging brand reputation and customer trust. 

    On the other hand, proactive strategies, like Threat Intelligence, focus on identifying and mitigating potential threats before they can cause any harm to endpoints. By implementing the combination of proactive and reactive strategies, organisations can protect and respond effectively when a security incident occurs.

    Overall, effective cybersecurity requires a combination of technology, processes, and people working together to protect against cyber threats.

    Initiatives by the government to have secure cyberspace

    The current growth in digitalisation has led to an increase in cybersecurity challenges, particularly failures in hardware, software, or human processes. This can result in data breaches, cyberattacks, identity theft, and ransomware. Such failures can have severe consequences for organisations and individuals, including financial losses, reputational damage, and disruption to operations. India has a robust cybersecurity ecosystem, which is growing, under a strong framework set up by the GoI, with private actors providing a variety of cybersecurity services and products. The Government of India has taken extensive measures in Data Protection and Data Privacy and assigned many organisations with duties to guarantee national security and address other privacy issues in Cybersecurity.

    The Information Technology (IT) Act, of 2000, as well as other technical, institutional, and regulatory measures, have been implemented by the Government of India (GoI) to address cybersecurity-related challenges. The Cyber Forensics Lab at CERT-In has been authorised to execute the authority provided by Section 79A of the Information Technology Act, 2000. The lab is outfitted with the necessary equipment to analyse digital evidence gleaned from mobile devices and data storage. Also, MHA developed the Indian Cyber Crime Coordination Centre (I4C) to address all forms of cybercrime in the nation in a coordinated and thorough manner.

    To conclude

    Cybercrimes cost nations and businesses billions of dollars each year as their attack frequency rises. Cybersecurity defense measures should be enhanced to keep pace with the expanding data landscape. Cyber defense, is the practice of protecting all the connected endpoints and evaluating data flow in real-time and preventing unauthorised access, use, disclosure, disruption, modification, or destruction of information. 

    There is a shortage of professionals with cybersecurity skillsets; it has been estimated that the global cybersecurity workforce gap will reach 3.5 million jobs. The lack of qualified professionals can make it difficult for organisations to protect themselves against digital attacks and can also make it harder for governments to protect their citizens and critical infrastructure from cyber threats. 

    Many initiatives have been launched to address this issue, such as Cybersecurity education, training for the current workforce, upskilling and reskilling of professionals and encouraging more women to enter the security domain. As Machine Learning (ML) and Artificial intelligence (AI) have become more prevalent, these are increasingly used in cybersecurity to improve the ability and precisely detect and respond to cyber threats – Anomaly detection and Threat intelligence.

    However, it’s important to note that ML and AI are not a silver bullet for cybersecurity, and they need to be used in conjunction with other security measures – Firewalls, IPS, IDS and regular security audits.

    In order to execute policies that benefit the citizens, it’s important to note that cybersecurity awareness among the public is crucial, to make them aware of the dangers and how to be vigilant at all times. Finding the solutions will not be difficult if people realise the importance of a secure digital environment and safe internet practices for individuals.

    In addition, regardless of the attacker’s technology; a strategic approach to understanding attackers, their patterns and behaviours can enable building a Robust cyber defense.

    Resource : https://timesofindia.indiatimes.com/blogs/voices/how-to-maintain-effective-cyber-security-by-using-the-latest-technologies-in-2023/

    15Dec, 2022
    Top 12 Emerging IoT Technologies
    IoT Technology in India | NASSCOM Community | The Official Community of Indian IT Industry

    According to Gartner, wireless IoT connectivity will be outpaced by low-power short-range networks by 2025, by far outnumbering connections build using the wide-area Internet of Things (IoT) networks.

    For businesses to gain and adopt the full value of IoT technologies, significantly more investment is required in training and hiring professionals. Developing Internet of things will demand a huge range of new skills and technologies, including platforms, new hardware, operating systems, cloud services, high-volume data processing, as well as standards and ecosystems. This post will explore the top 12 emerging IoT technologies that can be utilized for IoT application development.

    IoT Security

    Security technologies will be necessary to safeguard IoT platforms and devices from cyberattacks and physical manipulation, encrypt their communications and handle novel problems like impersonating “things” or battery-draining denial-of-sleep attacks. The fact that many “things” employ basic processors and operating systems that might not be able to handle advanced security techniques will make IoT security more difficult to implement.

    Security technologies will be needed to protect IoT platforms and devices from physical and digital threats, scramble their communications, and handle new challenges.

    For instance, assuming the identity of “things” or engaging in battery-draining attacks against sleep. The fact that many “things” use basic CPUs and operating systems that do not support contemporary security techniques would complicate IoT security.

    IoT Device Management

    The next emerging technology in IoT will be enabling those technologies that are location, context, and state-aware while at the same time remains consistent with data and knowledge taxonomies. IoT device management will allow an IoT development company to break all the boundaries of traditional data management and create a new data structure, that is capable of learning and flexing to requirements of unique inbound data over time.

    IoT Analytics

    Analytics in IoT requires creating new algorithms, data structures, architectures, and approaches to machine learning if businesses are going to get the full value for the data captured, and knowledge created. Distributed analytics architecture will allow IoT development companies to use secure IoT network architectures, grab on pervasive that will actually become knowledge-sharing networks.

    Low-Power Short-Range IoT Networks   

    Low-power short-range IoT networks will dominate wireless IoT connectivity by the year 2025. This will outnumber all the connections that are using wide-area IoT networks currently. Therefore, IoT development companies should use this in order to develop new IoT applications for their clients.

    Low-Power Wide-Area Networks

    According to a recent survey by Gartner, modern cellular networks are not able to deliver the proper combination of operational costs and technical features for the IoT applications that require wide-area coverage in combination with good battery life, low bandwidth, high connection density, low hardware and operating costs.

    IoT Operating Systems

    Small operating systems will gain momentum in IoT application development by 2020 because traditional large-scale operating systems like Mac and Windows are complex in nature and requires resources for the majority of IoT applications. People have experienced that these operating systems are excellent and event-driven tasks. Therefore, businesses can be benefited a lot by it and don’t have to spend extra resources on IoT application development on traditional operating systems.

    IoT Ecosystems and Standards

    Although ecosystems and standards are not considered as technologies, they are eventually prepared as APIs(Application Programming Interfaces). Standards and all the APIs associated are important because IoT devices need to integrate and communicate. Many IoT business models usually rely on sharing data between multiple businesses and devices. For that, you need to hire app developers who are familiar with all the ecosystems and standards of IoT.

    Event Stream Processing

    Some Internet of Things (IoT) applications generate extraordinarily high information rates that need to be monitored constantly. Systems that perform numerous times per second are common, and an enormous number of times per second may occur under certain conditions.

    Distributed stream computing platforms have emerged to meet these needs. These systems process extremely high-rate information streams and perform real-time analytics and pattern recognition tasks.

    Mesh Sensors

    Future wearables will be able to track the precise movement of the body in addition to heart rate, exercise, and sleep quality measurements. Mesh sensors play a huge role in this. A wireless network of sensors makes up the technology and the sensors that may be incorporated into clothing and collect infinite data points.

    An app can use those data points to calculate the body’s position in 3D space. This is the precise strategy employed by one mesh sensor company, Cipher Skin, whose BioSleeve monitors are appropriate for various applications, including rehabilitation programs and extremely strenuous exercise routines.

    Containers for MCU Devices

    The use of containers for microcontroller units, or MCUs, tiny, low-power circuits that power tens of millions of IoT devices, from connected washer machines to heat sensors in oil refineries, is an area that hasn’t received as much attention as other areas of container technology.

    An approach for distributing application containers to MCU devices with real-time operating systems has been created by a vendor by the name of Nubix. According to the company, these solutions will increase IoT device creation, maintenance agility, and scalability.

    Battery-Free Sensors

    Imagine the effects of sensors being able to generate their power: battery replacements would no longer be a concern, which is significant when sensor deployments reach the hundreds, if not thousands, or tens of thousands over numerous sites.

    The Eversensor, developed by a Santa Clara,  to the manufacturer, Eversensors can operate without regular maintenance for 20 years.

    California-based firm called Everactive, incorporates a range of sensor types and draws power from various sources, including thermal, indoor solar, and vibration energy. According

    Network Slicing IoT Applications

    Companies are looking to network slicing to separate connections for IoT devices with various requirements for latency, stability, and capacity, among other things, as 5G networks go live worldwide.

    According to Ericsson, one telecommunications company that has made the technology accessible for 5G networks using its equipment, network slicing can be used to ensure, for example, that mission-critical IoT deployments have a low-latency, high-bandwidth connection.

    According to the company, this can let enterprises develop new business models across various “slices” of their 5G networks while enhancing infrastructure effectiveness.

    Final Thoughts about IoT Technologies

    The IoT market is expected to grow by 18% to 14.4 billion active connections by the end of 2022. There will likely be about 27 billion linked IoT devices by 2025 as supply limitations loosen and demand accelerates.

    However, only one percent of IoT data is used and analyzed. All these technologies are going to take IoT to a whole new level. Each of these developments will advance IoT to previously unheard-of heights.

    Therefore, if you are still getting familiar with IoT application development, then you should hire IoT app developers or you should look to hire an IoT app development company that can guide you in developing your IoT business project.

    Resource : https://www.pixelcrayons.com/blog/top-8-emerging-iot-technologies/

    2Dec, 2022
    Top 9 New & Trending Technologies in 2023 You Should Know About

    In this Article, you will learn Top 9 New & Trending Technologies in 2023

    1. Artificial Intelligence and Machine Learning
    2. Data Science
    3. Full Stack Development
    4. Robotic Process Automation
    5. Edge Computing
    6. Virtual Reality and Augmented Reality
    7. Blockchain
    8. 5G
    9. Cyber Security

    Read more to know each in detail.

    The 21st century has been a century of technological change. Several highly commercial and trending technologies during the early 2000s have entirely vanished, and new ones have taken their place. Many completely new technologies have also come up in 2023, especially in the arena of computer science and engineering. These new technologies in 2023 are only likely to grow and perhaps even reach the common person’s hands. 

    If you want to learn about trending technologies in 2022-23 and stay updated, let’s dive in. Here are the new trending technologies in 2023 you should check out and learn to master if you want to get an edge in the market.

    Top Trending Technologies in 2023

    1. Artificial Intelligence and Machine Learning

    Artificial intelligence and machine learning once represented the cutting edge of computer science. When these technologies were created in the last 20th century, they hardly had any applications and were, in fact, mostly academic. However, these technologies have gained applications over the years and reached ordinary people’s hands through their mobile phones and is currently one of the latest technologies in computer science.

    Machine learning represents a computer science field in which an algorithm can predict future data based on previously generated data. Artificial intelligence represents the next step in machine learning, in which an algorithm develops data-based intelligence and can even carry out essential tasks on its own.

    Both artificial intelligence and machine learning requires advanced knowledge of statistics. Statistics help you determine the results that your algorithm might throw up for a particular dataset, thus evolving it further. The proliferation of machine learning applications has meant that the number of jobs in this field has also grown.

    Machine learning is among the leading technologies of this century. A career in this domain can expose you to advanced computational infrastructure and novel research in the field making this a fine new technology in 2023 you should consider getting into. Having a job in machine learning and artificial intelligence domain(s) places you at the forefront of technological development in the field of computer science.

    In fields such as retail and e-commerce, machine learning is an essential component to enhance user experience. The product recommendations that you see on such sites are generally a result of a machine learning algorithm analysing your previous searches and recommending similar products to you. In the healthcare field, machine learning can help analyse data to provide treatment insight to physicians. Even though AI is helping us in our day to day lives, it is still a new technology in 2023 considering its potential. 

    2. Data Science

    Recent technology in computer science is Data Science. For much of the initial part of the 21st century, data science was the next big thing. Data science has been around for much longer than just the past twenty months. For centuries, data analysis has been an essential task for companies, government, institutions, and departments. Analysing data helps understand the efficiency of processes, conduct surveys of the workforce, and gauge people’s general mood.

    However, as of today, much of data analysis has turned digital. Data analysis is among the first jobs that computers are turned to for. In the early 2000s, data analysis was so prevalent that students were being taught introductory courses on the subject in school.

    In the 2023s, data analysis is likely to blow up more than ever. With computational technology growing at a more excellent pace than ever, the data analysis capabilities in people’s hands are likely to increase. Newer, faster data analysis algorithms and methods are likely to come up and be put into practice.

    The benefit of having a career in data science, regardless of the domain your company works in, is that you are an essential part of the firm’s overall business. The data that you produce and the interpretations that you provide are likely to be a necessary part of the business strategy of any company that you serve.

    In retail and e-commerce, data science is widely used to determine campaigns’ success and the general trend of various products’ growth. This, in turn, helps develop strategies for the promotion of particular products or types of products. In health care, data informatics can be essential in recommending low-cost options and packages to patients and allowing doctors to choose the safest yet most effective treatments for them.

    3. Full Stack Development

    Full-stack development refers to the development of both client-side and server-side software and is bound to be one of the top trending technologies of 2023.

    The 21st century started with the dot com boom, and the internet, a relatively new phenomenon, was spreading across homes in the world. In those days, websites were no more than simple web pages, and web development wasn’t the complex field that it is now.

    These days, web development involves a front end and a back end. Especially for fields related to services, such as retail and e-commerce, websites include a client-side—the website that you see—and a server-side—the website that the company controls.

    Generally, web developers are given the job of handling either the client-side or the website’s server-side. However, being a full stack developer gives you and your company the flexibility of working on both ends of the web development spectrum. The client-side or front end will generally require knowledge of suites such as HTML, CSS, and Bootstrap. The server side requires knowledge of PHP, ASP, and C++.

    How to become a full-stack developer?

    Learners can opt for Executive PG Programme – Full Stack Development, a 13-month program by IIIT Bangalore.

    4. Robotic Process Automation

    Robotic Process Automation isn’t just about robots. It is a lot more about the automation of processes than anything else. Before computers, most processes involved some human intervention. Humans ran even manufacturing machines, and large-scale manufacturing employs thousands of people.

    However, since computers have taken over most processes, manufacturing hasn’t been left untouched either. All domains, be it manufacturing or information technology, now involve some automation in their processes. The amount of human intervention in these processes is only reducing, and this trend is likely to continue for the foreseeable future.

    Jobs in robotic process automation typically involve a significant amount of coding knowledge. You would typically need to write code that would enable computerised or non-computerised processes to be done automatically without human intervention.

    These processes could mean anything from automatic email replies to automated data analysis and automatic processing and financial transactions approval. Robotic process automation makes tasks considerably faster for the common consumer by making such approvals automatic based on certain conditions entered by the programmer. 

    In sectors such as financial services, robotic process automation can reduce the lean time to approve financial transactions online. It improves the productivity of the company as a whole, as well as that of its clients.

    5. Edge Computing

    During the early part of the 21st century, cloud computing was considered the next big thing. In cloud computing, data is uploaded to a centralised repository that may access it regardless of location. Cloud Computing began to be used in commercial devices only close to 2010. By the time it was 2023, cloud computing had become a prevalent technology.

    In just about a decade, cloud computing had turned from being an esoteric term to being a part of a few devices in almost everybody’s house. In 2023, cloud computing is no longer among the top technology trends but rather a thing of the past.

    The next step after cloud computing is edge computing. It is another rising new technology in 2023 which is very similar to cloud computing, except that data is not stored in a centralised repository. In areas where network access might be difficult or impossible, cloud computing is challenging since you can no longer access the repository where your data is stored. What edge computing does is transfer data closer to the location where it needs to be used.

    Edge computing has excellent applications in the Internet of Things devices. As far as IoT is concerned, a physical device you need to control with your smartphone should not need to access data from a centralised repository that might be thousands of kilometres away. Instead, data should stay as close to the device as possible.

    Edge computing allows the data to remain at the ‘edge’ of the cloud and the device for processing so that commands can be followed through in a smaller amount of time.

    Edge computing jobs have only begun to grow with IoT devices’ proliferation over the past few years. As the number of these devices increases, edge computing roles are likely to become more prevalent and lucrative, placing it firmly among the trending technologies in 2021-22.

    6. Virtual Reality and Augmented Reality

    Virtual Reality and Augmented Reality have both been technology buzzwords for over a decade now. However, these latest technology trends in computer science have so far failed to materialise into widely available consumer products. The presence of virtual reality and augmented reality in our real lives is minimal. Eventhough VR and AR have been familiar in the industry, they are relatively new technologies in 2023.

    Virtual reality has been used widely in video games thus far and augmented reality-based apps did become popular for a while a few years ago, before waning. However, the best way virtual reality can become a top technology trend for the future is by making it a part of people’s daily lives.

    Over the past few years, virtual reality has also begun to find applications in training programs. Another domain where virtual reality experiences have been useful is in providing experiences to museum-goers. The trajectory of the rise of virtual reality is very similar to that of 3D technology—it might take just one application, such as cinema in 3D, for the technology to become mainstream. According to Payscale, average salary of AR Engineer is above 6 lakhs per annum, one more reason to give this new technology a try in 2023.

    Virtual reality jobs do not currently require a lot of training. Simple programming skills should be enough to land you a job, alongside an interest in the field and the power of visualisation. With millions of virtual reality devices being sold worldwide every year, it is only a matter of time before we see VR and AR take over our daily lives.

    7. Blockchain

    You have probably heard of Blockchain in the past few years, mostly in the context of cryptocurrency. However, Blockchain has grown to have several different applications. The significant part about Blockchain is that it is never under the complete control of a single entity due to being entirely consensus-driven. It can never change the data you store in the Blockchain used widely in sharing medical data in the healthcare industry.

    Due to the security that Blockchain provides, this data can be shared among parties pretty much seamlessly. Another application of Blockchain is in maintaining the integrity of payment systems. Blockchain-based payment systems are currently highly immune to external attacks and theft. Blockchain can also be used in tracking the status of products in a supply chain in real-time.

    The number of blockchain jobs has unexpectedly increased in the past few years and continues to increase. However, the number of applicants for such positions has also been growing in tandem. To bag a job in the blockchain domain, you need experience in multiple programming languages and in-depth knowledge of data structure and algorithms, OOPS, relational database management systems, and app development.

    How to become a Blockchain Developer?

    upGrad offers three well-recognized blockchain courses – Executive PG Program, Advanced Certification Program, and an Executive Program.

    8. 5G

    If there is one technology, the knowledge of which is still little, it is 5G. It is a new technology in 2023 for which companies and governments around the world have spent years preparing for the rollout of 5G technology. In several countries, this technology has already been rolled out and achieved a significant amount of success. Since 5G is currently in a nascent stage, it is available only to a limited extent and is also relatively expensive.

    The number of compatible devices with 5G is also not appreciable, although most new mobile devices being released have 5G compatibility. 5G has a much greater capacity than the current 4G technology, with an average network speed of 100 Mbps and a peak speed of 20 Gbps. If you have multiple mobile devices in your home, 5G will probably connect to these devices and use them concurrently significantly easier. 

    When 5G technology was only in the development stage, 5G jobs were few, and most such jobs were allocated to employees within companies. However, companies have begun to hire network engineers over the past few months, specifically for jobs associated with their 5G networks.

    As 5G technology has become more prevalent, there has been a scramble among networks to purchase spectrum and roll out the technology first. This has led to the requirement of a larger workforce focussed on the development and release of 5G networks.

    9. Cyber Security

    The number of devices and coverage about digital technologies has been rising, hence the threat by cyber-attacks on such devices. Cyber attacks can take many forms, from phishing to identity theft, and the need to guard the greater user coverage of the internet is greater than ever.

    Simple antivirus software is no longer sufficient if you want to save yourself from cyber attacks. The development of better, more sophisticated technologies to guard against cyber threats is the subject of multiple academia and industry projects worldwide.

    Companies are involved not just in making new commercial technologies to protect individual domestic consumers against cyber attacks. Some of the most frequent cyber-attacks are government data repositories or the storage facilities of large companies. Nearly all large companies need a way to protect their data and their employees’ data and associated firms.

    Jobs in cybersecurity have been growing at thrice the pace as other tech jobs, primarily due to the reasons mentioned above. Not only are these jobs incredibly well-paying, but they are also some of the most critical positions in any firm. The 5G market in India is estimated to reach INR 19 Billion by 2025 so this new technology in 2023 can be a game-changer.

    Especially in domains such as e-commerce and retail, the importance of cybersecurity cannot be underscored. Thousands of customers store their personal and financial data on retail companies’ websites to allow for easy payments. They also have accounts and passwords, which need to be protected. Similarly, in the healthcare industry, patient data needs to be protected against cyber threats.

    Resource : https://www.upgrad.com/blog/top-new-trending-technologies/

    1Nov, 2022
    Top Technologies To Adopt and Learn In 2022

    The new technology 2022 is something that would have great future potential but it is still highly unexplored in terms of practical applications. 

    For example, blockchain is a unique technology that can effectively interrupt not just finance but any industry dealing with security and digital transactions. 

    Even though people are aware of this technology, its applications are yet to be realized which makes it a wonderful one for anyone looking to create a futuristic application and to upgrade their skills.

    Top Technologies To Adopt and Learn In 2022:

    1. Blockchain

    • Blockchain is a digital ecosystem that is controlled only by its users. There are no intermediaries or owners in a blockchain network.
    • It is a decentralized, distributed network that comprises thousands of nodes that are interconnected. Each transaction in a blockchain network is verified by all nodes and processed through in the network which means the probability of human error or failure is nil. 
    • Blockchain technology has excellent applications in a variety of sectors including digital security, finance, cloud computing, voting, cryptocurrency exchange, identity security, and more

    2. Artificial Intelligence

    • The new technology 2022 mainly involves Artificial Intelligence which most people must be familiar with. It refers to the integration of intelligence in machines. 
    • In the other words, it is the process of making machines think and act like human beings. AI is going to be the head of technology evolutions in the upcoming years. 
    • Experts estimate that the market value would cross more than 500 billion by the next few years. For instance, you can create your mobile app with Artificial Intelligence, create an AI powdered trading platform, and build a next-gen. 

    3. Augmented Reality & Virtual Reality (AR & VR)

    • Augmented Reality & Virtual Reality are mostly used in the fields of training, education, entertainment, and gaming among others
    • AR refers to the integration of real-world objects into the digital world for the better delivery of information through graphics, audio, text, and other virtual enhancements
    • VR refers to the design of a computer-generated artificial three-dimensional environment with which users can interact using electronic devices

    4. Cybersecurity

    • Cybersecurity is the technology aspect that deals with the security of data and users from a range of internet threats such as malware, hacking, DoS attack, phishing, and others
    • Cybersecurity is extremely important as the internet itself and there are many cases of cybercrimes going on as well. So, the need for cybersecurity is essential and so is the need for platforms and applications that deal with them. 
    • Whether you are planning to learn new technologies to upgrade your careers or looking to build your business on next-gen technologies, cybersecurity is one of the right options today

    5. 5G Network

    • 5G stands for 5th Generation mobile network technology which would offer internet at a rapid speed with the ability to connect several devices simultaneously with a single hub
    • When this new technology 2022 is combined with other technologies such as IoT and robotics, several business opportunities can be presented
    • It will enhance the performance of IoT networks by offering a high and stable performance internet connection. Depending on your industry or a particular industry, you can start building 5G applications to boost your business growth or to help your customers.

    6. IoT (Internet of Things)

    • IoT connects several devices and therefore allows various devices to communicate with each other in the same network
    • The best example for IoT will be smart homes where there are refrigerators, TV, AC, etc. where they are connected to the network (internet) and managed using a common interface through voice guidance and physical means.
    • So, IoT is the greatest technology where they can make the process more cost-efficient and effective if realized properly

    7. Machine Learning (ML)

    • Machine Learning is also similar to that of AI provided it allows machines to automatically adapt themselves or learn new things using past experiences or data
    • It has huge scope in a range of sectors including finance, medical, speed recognition, image recognition and product recommendation based on e-commerce, purchase history, data analytics, pattern recognition, and others. 
    • For instance, a program or machine can be developed that can offer product recommendations to the users based on their purchase history

    8. Fintech

    • Fintech is the other new technology 2022 which refers to the use of the latest ones to improve the way financial transactions are managed and performed. The latest and most common examples of it include global payment transfer, cryptocurrency, UPI, internet banking, etc. 
    • All these applications compacts with the technologies like UPI and blockchain to make digital payments more affordable, faster, and secure
    • The main factor is that there is still more to accomplish in the Fintech industry and the opportunities to build new apps and solutions inspired by it are numerous. For instance, you can develop a digital payment app but using cryptocurrencies as the default way of payment.

    9. Cloud Computing

    • Cloud computing is a revolutionary technology and still has infinite distances to go. It refers to the use of computer resources (cloud) and their availability
    • It can be used for a range of purposes including secure and easy communication, live training, team meetings, social marketing, real-time collaboration, and more besides data storage
    • Cloud computing will be the right for you if there is an idea for a business that can run on the internet and will benefit from low-cost computing, security, or storage

    10. Voice Assistance

    • Voice assistance platforms and software are highly popular these days. Many big companies use their own voice assistant programs to send commands using voice.
    • Voice-based commands are faster and easier to execute. Now, you can browse using Google using your voice and much more. It is an advanced technology with enormous opportunities for everyone involved. 
    • AI-driven voice assistance can also be utilized for providing personalized services and analysing user experience accordingly. So, there is a huge scope for entrepreneurs and companies who want to enhance their next applications on voice assistance. 

    Thus, all the above are the new technology 2022 which can be created and developed according to each one’s requirements and their conveniences. 

    Resource : https://www.merementor.com/blog/new-technology-2022