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Adaptive Security identifies and scrutinizes a network for malevolent anomalies, vulnerabilities and traffic in real-time and simultaneously implements endpoint security. It is a real-time network security model that engages modern tools and tricks to counter the threats caused over a network. These are the emerging market trends that are driving the global adaptive security market: Adoption of IoT Adoption of cloud-based services Advent of big data and analytics Adoption of IoT:  IoT network comprises of a large number of interconnected devices, and it allows the exchange of vast volumes of cloud-based data. Whereas, this data should be organized to simplify presentation and data analysis.   IoT  is combined with advanced features which enables it to perform better functions. There are certain devices like smart phones, cars and smart refrigerators which have made life so much easier for people. With the help of Iot, we have seen an established communica...

Many organisations are investing heavily in digital technology, IoT, ERP, big data and analytics in an effort driving towards digital transformation. Cloud-based ERP enables integrations with new technologies of digital transformation that drives growth and success. Cloud ERP is one of the robust digital transformation delivery models it does much more with fewer resources. With traditional ERP projects now turning towards this model are proving to be much more successful as they:- Reduce risk Save money Increase productivity and value Role of Cloud ERP in digital transformation:- Cloud takes the existing ERP system to the next level by providing instantaneous access to the Decision makers providing a consolidated view of various business operations, hence simplifying the flow between various departments. Easy data interaction, with cloud platform data accessibility once a very time-consuming process is eased. As business data and transactions are unified into one ...

Artificial Intelligence abbreviated as AI is the self-performance of machines and computers without any human interference which means it is the ability of machine’s intelligence to manage tasks on their own. What is the Future of Artificial Intelligence ? It is presently blooming in all areas of the global market, be it medicines, education or technology machines are replacing human workforce everywhere. But still, it is said to be in the infant stage as some states it will replace humans completely in coming years while others are yet not fully aware of the concept. The answer to this still lies between these two predictions. There are assumptions for Artificial Intelligence that You Must Know to Make 2019 big for Your Business. Let us have a look into how will the year be for Artificial Intelligence: Many Businesses use chatbots for faster services, replacing human resources, but 2019 will introduce “ Virtual Agents ” a real big thing for machine learning as now custo...

Industrial Internet of Things (IIoT) adoption still being a problem for some companies, as they face major issues for providing the stimuli and infrastructure necessary to increase the propagation of IoT. Below are the key challenges prevent the widespread adoption of IoT solutions:- Security:  Security challenges for IIoT are the large concern as breaches can cause damage to both individual and organisation financially and operationally. The lack of comprehensive   cybersecurity  solutions makes them open to risks associated with It convergence and insider threats. Hence, IIoT implementation will be resisted until an organisation has a solid security feature. Lack of Standards:  With missing standards, product design may fail leading to disruptive execution leading to a delay in product development. The main cause behind this is the cost constraint generating problems related to managing and configuring IoT devices. Regulatory Requirement:  Addressing t...

Gartner’s Top most Tech disrupter, the Device mesh is a network of connected devices. What is Device Mesh? Device mesh is just a network of devices that aid communication between various entities such as humans, businesses and machines providing a more innovative cohesive user experience. It includes numerous mobile devices, electronic machines, wearable and a wide range of sensors connected through IoT. https://www.wisdomplexus.com/blogs/device-mesh-new-disrupter-digital-world/ Difference between Device Mesh and Traditional network:- In the traditional wireless network there used to be a single router which would transmit signal and all other devices were connected to it, with increasing distance the signal would go on attenuating till a point that it would be impossible for a device to stay connected to the network. Whereas in Mesh network being like a woven fabric every device connected acts as a transmitting node and passes the signal to the next device resulting in i...

Today  Internet of Things (IoT)  is revolutionizing our lives in more ways than one – IoT is everywhere. Initially, IoT was portable, then it eventually progressed to be wearable, and currently, it’s implantable. IoT technology has already changed when and where work is done in practically every industry such as smart homes, smart cities, devices, and the automated workflow in various sectors – Internet Of Things has become a mainstay, and it’s evident that the reliance on the various IoT connected devices will continue to elevate. Let’s take a glance at how industries have begun to harness the potential of IoT Automotive IoT  is shaking up the automotive industry like never before; digital transformation has made its way in the automotive space. By facilitating human-to-human, machine-to-machine, and human-to-machine interactions, IoT seeks to expedite processes and enrich people’s lives. IoT has enabled smart cars with built-in sensors that aid in efficient pa...

he data generated from the  internet of things  (IoT) devices is set to exceed 40trillion GB by 2022. To cope with this recently Google has announced it would launch two new products to their cloud platform the Edge TPU, a new hardware chip, and Cloud IoT Edge, an expansion of the Google Cloud AI. The Edge TPU is a purpose-built ASIC chip designed by Google to run TensorFlow Lite ML models at the edge for running machine learning workloads written for its TensorFlow framework. This would lead to faster predictions in local processing and real-time along with reduced data privacy risks. Cloud IoT Edge:- Cloud IoT Edge the software that enhances Google Cloud’s powerful data processing and machine learning capabilities making  IoT applications  much intelligent, solid and secure. How Cloud IoT Edge Works:- Source:-  https://cloud.google.com/iot-edge/ Google Cloud Platform:-  The Google cloud platform is an integrated software stack with ML abilit...

Today, we sit on the precipice of another perfect storm, this time ushering in the era of the internet of things (IOT) as more and more unconnected devices become connected. The digital age has transformed virtually all aspects of everyday life. As data continues to migrate online, digital data becomes more pervasive. With the growth of the Internet of Things (IoT), cloud migration and extensive use of mobile applications, the cost of a data breach will increase too. Connected devices introduced by employees to company networks pose some of the most significant risks. With barring IoT outright not an option, companies will need to roll out tailored best practices and standards. The Internet of Things can be blooming, but it brings to some major IoT security concerns. Issues in IOT and IOT Security The problems originate with the lack of universal IoT standards for security. With so many different vendors producing IoT devices, such as sensors, there’s been no original secure firm...