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[Updated] 5 Tips to Improve Data Security in Enterprise
With the vigorous development of new technologies such as cloud computing, big data, the Internet of Things, and artificial intelligence, large-scale new applications have facilitated my life. But at the same time, hackers, who are tempted by the interests of black products, also turn their eyes to this place, and they have targeted attacks, again and again, thus directly plundering enterprise data resources and important customers. Here are our 5 tips for improving your data security: 1. Troubleshoot computer network system vulnerabilities The computer network system is composed of computer hardware, software, and client network system configuration. The first step of enterprise self-examination is to carry out daily maintenance of its own hardware equipment; Secondly, it is also the key point to check the compliance and security of software systems, clean up the non-compliant and unsafe third-party applications used by employees in time, update the conventional systems, and investigate loopholes; The other is to configure the client's network system safely. 2. Is the data using standardized The second point of self-examination of enterprise data security is to standardize the management of enterprise data use. Enterprises have a clear positioning of safety standards, and the practicality of specific data usage specifications is usually reflected in employees' daily work. Especially in file transmission, the transmission process is the hardest hit by network attacks, and the control of data flow is also very important. Just as many Internet companies are doing, it is necessary to manage the access, editing, and downloading rights of sensitive data, which plays a protective role in data security to a certain extent. 3. Investigate employees' safety awareness At present, nearly half of cyber-attacks are caused by the lack of security awareness of enterprise employees, which directly or indirectly leads to data leakage. The employees' awareness of the importance of data and network attack methods is directly related to their sensitivity to the possible security threats and potential attacks of current data. Many enterprises tend to ignore the safety control of employees. Do your employees really know what might be a cyber attack? Data security training is a good way for employees' safety awareness. Establish a culture so that employees can quickly perceive potential threats and report suspicious cases in time. The above self-inspection method is based on three key factors of data security, and the other two points we want to mention are the self-inspection method of security control of dynamic data. 4. Data flow direction "High-speed data transfer creates value for enterprises" is the service concept of Raysync. On the contrary, this sentence is essentially the normal state of enterprise business transfer. Every day, a small and medium-sized enterprise produces no less than 10GB of data, and where this data flow is actually a security blind spot for many enterprises. At present, there are more and more ways of online data interaction, and various ways of data interaction facilitate people's work, but also greatly increase the difficulty for enterprises to supervise data security. To solve this problem, let's take a look at how the enterprise-level file transfer expert Raysync deals with it. - Transmission management and control: add transmission strategy, transmission reality, and transmission log design, and the administrator can take a glance at the transmission of sub-accounts; - Supervision of document outgoing: all documents outgoing are under management supervision. In the face of sensitive data leakage, the administrator can directly interrupt the sharing of relevant documents; 5. Grade authority Dividing data grades and employee categories is the key to building an enterprise data safety net. Hackers and system vulnerabilities are the main reasons for data leakage incidents. Some conscious and unconscious operation behaviors of employees in their daily work are easily manipulated or misled by cybercriminals, and the data level they come into contact with is the height of enterprise information assets that criminals can reach. Grant local administrative authority only when necessary, assuming that the network attack against the enterprise is successful , and the infected computer cannot easily spread malicious software to other devices in the network, which plays an important role in curbing the attack scope. In view of this, many applications can do it at present. For example, several functional designs of data authority such as identity authorization, user grouping, and security encryption in Raysync run through the whole process of data security transmission, which is a good way to protect enterprise data security. Data flow transfers data to create greater value. Today, with the rapid development of science and technology, the process of data interaction is both an opportunity and a challenge for Internet enterprises, as well as hackers.
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About this event Tired of sharing files with slow internet? Join our free webinar and live demo sessions to learn how Raysync offers you a high-speed solution that is 200 times faster than your traditional FTP transfer methods, utilizing up to 96% of your bandwidth that fulfil your demand efficiently! Date: 11AM - 12PM, 18th August 2021 In this webinar, you may learn: - Who we are? - Robust HPC & Raysync - Introducing Raysync: The Fast File Transfer Solution - A patented tranmission protocol utilizing up to 96% of your bandwidth and transfer files at long-distance across borders at maximum speed. - A complete enterprise solution for secure file-sharing, collaboration and management. - Product & Interactive Demo: - Demo: Transnational transfer between different locations - Demo: Download/Upload tests from participants - Showcasing the Admin Console & User Interface - Q&A + Prize Giveaways Win prize giveaways that worth $3599 during our interactive session: - 1x Raysync Enterprise License with Unlimited users - 2x Raysync SMB License with maximum 50 users - 10x Touch 'n Go Cash Credits worth RM20 More info regarding Raysync: We’re proud that Raysync - our Cross-Border, High-Performance and Large File Transmission Enterprise Solution, is able to tackle your needs. With its industry-leading core technology in the transmission engine, Raysync is able to transfer your files blazingly fast, in fact, 80-90% faster than your conventional FTP that fulfils your demand efficiently. Massive Small File Transfer Raysync is designed with a new data access technology to make sure that the upload speed for your small file transfers can reach up to 4,981 files per second and a download speed of 5293 files per second!! This translates to a transfer speed that is 200 times faster than FTP and 2 times quicker than your read/write speed on your local drives! This dramatically improves data transmission efficiency, stability, and effectively reduces data latency. Transfer Speed Acceleration Upgrade Raysync’s ultra-high-speed transmission operation is simple, with the transmission engine activated, it will allow the FTP transmission speed to be increased by a thousand times, achieving a speed ratio of 100:1 second. Based on the new UDP protocol and congestion control mechanism, our Raysync team utilise the new ACK algorithm to quickly recover any packet loss and avoid congestion queues, which greatly increases the transmission speed and maintains stability. Cross-Border Secure File Transfer Raysync adopts an advanced transmission technology that is unaffected by network delay and packet loss, making it more stable and efficient than the traditional file transmission technologies such as FTP, HTTP or CIFS. Raysync is also designed to be user-friendly and easy-to-deploy supporting cross-platform operations, free from file size and network type restrictions, thus enabling large-scale, and cross-border TB-levels large file transfers. Highlighted Features: - High-Speed Transfer: The unique transmission optimization protocol in Raysync provides businesses with the best network experience with 99.9% availability. - User-Friendly Interface: Standardized equipment is easy to install and supports bypass deployment to greatly reduce implementation costs. - Flexibility to Expand: The newly added networking point has zero impact on the original network structure and has superior scalability that help resolves the expansion of branches at any time. - Secure Data: Users can set passwords freely and encrypt them with asymmetric RSA/AES algorithm. The operation is blazingly fast and extremely secure while maintaining low consumption of system resources.
Everything You Need to Know about Data Transfer
The amount of data transferred between global business networks is very large. The amount of data transferred in a given period of time is the data transfer rate, which specifies whether the network can be used for tasks that require complex data-intensive applications. Network congestion, delays, server operating conditions, and insufficient infrastructure can cause data transmission rates to be lower than standard levels, thereby affecting overall business performance. High-speed data transfer rates are essential for handling complex tasks such as online streaming and large file transfers. The Importance of Content Delivery Networks High-quality delivery of websites and applications to as many locations in the world as possible requires infrastructure and expertise to achieve delivery with low latency, high-performance reliability, and high-speed data transmission. Professional content delivery networks can bring a variety of benefits, including seamless and secure distribution of content to end-users, no matter where they are located. The content delivery network reduces the load of the enterprise's central server by using a complex node system strategically spread all over the world, thereby delivering content through more efficient use of network resources. Higher data rate conversion can improve user experience and increase reliability. By using intelligent routing, bottlenecks can be avoided , and adaptive measures can be used to find the best and most successful path in the case of network congestion. Faster Data Transfer FTP and HTTP are common methods of the file transfer. For example, FTP can be used to transfer files or access online software archives. HTTP is a protocol used to indicate how to not only define and send messages. It also determines the actions of web browsers and servers in response to various commands. HTTP requests are identified as stateless protocols, which means that they do not have information about previous requests. ISPs provide a limited level of bandwidth for sending and receiving data, which may cause excessive slowdowns that the business cannot afford. Content delivery networks such as CDNetworks provide data transfer speeds up to 100 times faster than FTP and HTTP methods, whether it is transferring large amounts of media files or transferring multiple smaller files. Transfer Rate High data transfer rates are essential for any business. To determine the speed at which data is transferred from one network location to another network location, the transfer rate ) is used to measure the data. Bandwidth refers to the maximum amount of data that can be transmitted in a given time. One of the most promising innovations achieved by content network services is Tbps , which was not imagined until the beginning of the decade Big Data According to industry researchers, the amount of data used each year has increased by as much as 40% year-on-year due to the increase in mobile use, social media, and various sensors. Companies in every industry need high-speed data transmission infrastructure more than ever to handle the ever-increasing volume of content from one point to another. Facing these data transmission needs, Raysync provides professional high-speed file transfer solutions in big data transmission, mainly for large file transfer, massive small file transfer, transnational file transfer, long-distance transfer, breaking through the limitations of traditional file transfer, and improving Bandwidth utilization. As an enterprise file transfer, Raysync has established friendly cooperation with several industry companies. Raysync is worth a chance to try it out.
[2022] The Best Secure File Transfer Solution
As companies move towards digital transformation, the of corporate digital assets is facing more and more severe challenges. How to ensure that data assets, innovative content, and other materials deposited by companies are not leaked intentionally or unintentionally during file transfer has become an urgent need for companies to solve a problem. Enterprise file transfer security risks: 1. File data errors: a large amount of data is not transmitted on time, causing data errors, and manual troubleshooting is too cumbersome. 2. Loss of hard disk: use the form of sending and receiving hard disk to transfer large files, once the hard disk is lost, the consequences will be disastrous. 3. Information leakage: too frequent FTP transmission methods cause the firewall to be attacked and cause information leakage. 4. File loss: mass files cannot be completely transferred at one time, and file loss is prone to occur. Raysync, an expert in one-stop large file transfer solutions, has become the best choice for 2W+ enterprises with its high-efficiency, safe and reliable characteristics of the file transfer. Raysync data security protection: 1. AES-256 financial level encryption strength to protect user data privacy and security. 2. Added SSL security function for FTP protocol and data channel. 3. The Raysync transfer protocol only needs to open one UDP port to complete the communication, which is safer than opening a large number of firewall network ports. 4. Support the configuration of confidential certificates to make service access more secure. Raysync safety mechanism: 1. Regularly scan the CVE vulnerability risk database to resolve risky code vulnerabilities. 2. Use Valgrind/Purify for memory leak investigation during development. 3. Adopt high-performance SSL VPN encryption to provide multiple scenarios for user access security services. Raysync account security protection mechanism: 1. Adopt a two-factor strong authentication system, support USBKey, terminal hardware ID binding, and other password authentication. 2. The password saved by the user in the data is encrypted based on the AES-256+ random salt high-strength encryption algorithm, even the developer cannot recover the source password through the saved ciphertext. Raysync uses the self-developed Raysync ultra-high-speed transfer protocol to build the enterprise data transfer highway in the information age, and always puts enterprise data security at the top of development, provides secure file transfer solutions for the development of enterprises, and guarantees the process of data transfer for enterprises security and reliability.
[2022 Updated] What is More Suitable for Enterprise Data Transfer Tool?
Raysync has superb file transfer capabilities and has served 20,000+ companies. The areas involved include government agencies, advertising media, the automobile industry, film and television production, etc. Many companies use Raysync for large file transfer every day. Maybe you didn’t use Raysync directly, but maybe a movie that is currently being screened uses Raysync for accelerated transfer of video footage. Maybe a medical institution is using Raysync to manage the past cases of patients...maybe each of us or more or less established contact with Raysync. The current network transfer adopts the TCP transfer protocol, which is very stable and reliable. During the transfer, the integrity of the file is the primary consideration of the TCP file transfer protocol. Therefore, when the delay and packet loss occurs at the same time, it will choose to reduce speed ensures quality. With the expansion of enterprises, the demand for transnational file transfer has soared. The longer the transfer distance, the greater the probability of delay and packet loss. Therefore, when TCP is used to send files transnationally, the transfer speed will decrease. In response to the bottleneck of the slow transfer speed of the TCP transfer protocol, Raysync developed its independent transfer protocol. It can also increase the packet transfer rate in the case of high delay and high packet loss. It can also control network congestion, improve transfer efficiency, and ensure that data is stable and reliable... Raysync provides enterprises with one-stop high speed file transfer solutions, including GB/TB/PB level large file transmission, transnational file transmission, massive small file sharing, etc. Besides, Raysync also has these features: Intelligent two-way synchronization of files; Multi-client concurrent transfer; P2P accelerated file transfer; Database disaster recovery backup; Object storage solutions; One-to-many, many-to-many heterogeneous data transfer. Since its inception, Raysync has undergone many iterations and improvements. With its excellent file transfer performance, it has become an indispensable helper for enterprises' digital transformation!
3 Challenges Faced by Big Data Transfer Technology
The ability to effectively use big data to gain value comes down to the ability of organizations to run analytical applications on the data, usually in the data lake. Assume that the challenges of capacity, speed, diversity, and accuracy are solved-measuring data readiness. The data is ready to pave the way for predictive analysis. Data readiness is built on the quality of the big data infrastructure used to support business and data science analysis applications. For example, any modern IT infrastructure must support data migration associated with technology upgrades, integrated systems, and applications, and can transform data into required formats and reliably integrate data into a data lake or enterprise data warehouse ability. 3 Challenges Faced by Big Data Transfer Technology Three big challenges facing big data technology, so why do so many big data infrastructures collapse early in the implementation life cycle? All this goes back to the last of McKinsey’s big data offer in 2011: “As long as the right policies and driving factors are formulated”. Some reasons why big data projects cannot be started are as follows: 1. Lack of skills Despite the increase in machine learning, artificial intelligence, and applications that can run without humans, the imagination to drive big data projects and queries is still a data scientist. These "promoters" referred to by McKinsey represent skills that are in great demand on the market and are therefore rare. Big data technology continues to affect the recruitment market. In many cases, big data developers, engineers, and data scientists are all on-the-job, learning processes. Many high-tech companies are paying more and more attention to creating and training more data-related positions to use the principles of big data. It is estimated that by 2020, 2.7 million people will be engaged in data-related jobs, and 700,000 of them will be dedicated to big data science and analysis positions to highly competitive and expensive employees. 2. Cost The value of the big data analytics industry is nearly $125 billion, and it is only expected to grow. For big data implementation projects, this means expensive costs, including installation fees and regular subscription fees. Even with the advancement of technology and the reduction of barriers to entry, the initial cost of big data may make the project impossible. Investment may require traditional consulting, outsourcing analysis, internal staffing, and storage and analysis software tools and applications. Various cost models are either too expensive, or provide the functionality of the minimum viable product, and cannot provide any actual results. But first, a company that wants to properly implement big data must prioritize architecture and infrastructure. 3. Data integration and data ingestion Before performing big data analysis, data integration must be performed first, which means that various data need to be sourced, moved, transferred, and provisioned into big data storage applications using technologies that ensure security. Control during the entire process. Modern integration technologies that connect systems, applications, and cloud technologies can help organizations produce reliable data gateways to overcome data movement problems. Companies striving to modernize their systems and deploy strategies to integrate data from various sources should tend to adopt a B2B-led integration strategy that ultimately drives the development of partner ecosystems, applications, data storage, and big data analysis platforms To provide better business value.
How Do Companies Manage Data Efficiently?
Data collection is not comprehensive, data storage is not standardized, data interaction is not timely, and the value of data is difficult to dig. Data problems are currently faced by small and medium-sized enterprises. In the Internet era, data is growing exponentially. If enterprises hope that data can be utilized to the greatest extent, for business value, or to guide the future development direction of the company, rapid data interaction, secure storage, and comprehensive collection are essential. For many small and medium-sized enterprises with an insufficient budget for informatization, it is the easiest way to deploy software that meets the needs of enterprise informatization construction. With the help of the mature process and simple operation of the transfer software, the process of data collection, cleaning, integration, and analysis is realized. The current high-speed large file transfer solution has powerful file transfer performance and financial-level security. The transfer speed is hundreds of times faster than FTP and HTTP. Run full bandwidth to improve file transfer efficiency; Based on SSL encrypted transfer protocol, financial-grade AES-256 encrypted transfer technology to ensure data security; Meticulous authority control mechanism, allowing appropriate permissions to be used by appropriate people; Support third-party cloud storage platforms, data storage safety is guaranteed. The use of these products is to take advantage of its cloud storage space and file transfer technical strength, and the enterprise itself does not need to build a computer room and set up specialized technical personnel to maintain it.
What are the Reasons Why Big Data does Not Work?
The value of any organization's technology integration depends to a large extent on the quality of its big data for digital transformation machines. In short: big data can achieve digital transformation, anyway, this is the goal. So how can big data technology bring success to enterprises in the grand plan of things? It turns out that it is not as good as hope. Optimistic expectations for big data may exceed our ability to actually execute big data. The latest research on the UK online consulting and consulting platform shows that 70% of big data projects in the UK have failed. The study goes on to say that almost half of all organizations in the UK are trying to carry out some kind of big data project or plan. However, nearly 80% of these companies cannot fully process data. However, this is not news. About three years ago, Gartner, a leading research and consulting company, reported similar situations on a global scale and predicted that 60% of big data projects in 2017 would fail the early implementation stage. Worse, this forecast is too conservative, because 85% of big data projects that year ended up flat. So why do so many initiatives fail to meet expectations? When trying to drive value through big data projects, what measures can be taken to increase the likelihood of measurable success? The promise of big data, despite the fact that so many organizations are still working on big data projects, there are some reasons. Volume and speed——Data explosion: exponential data from more sources from increasing speed of creation Diversity——Mobile and IoT terminals, the proliferation of traditional data types and the massive increase in the amount of unstructured data Accuracy——As the saying goes: "Garbage in, garbage out." Big data projects are only as good as providing data. Value——The white rabbit of big data. Discovering influential insights or new value streams for the organization is the biggest challenge. It is a symbol of differences in potential income and competition. Value is the reason for entering big data in the first place. The continued potential of analytics and the prospect of deliverables have turned big data into a multi-billion dollar technology industry in less than a decade. This has a lot to do with McKinsey Global Institute’s 2011 bold prediction of big data: “Big data will become the key basis for competition, providing support for a new round of productivity growth, innovation, and consumer surplus, as long as there are correct policies. And the driving force is in place." The idea is that almost every company in every industry is located in the large diverse, scattered, and disorganized enterprise data left in traditional systems and infrastructure. In the gold mine. Generated by a business. In order to obtain this treasure trove of information, each company needs specialized access and analysis tools to properly connect, organize, and ultimately transform it into a digestible and analyzable form. Assuming success, the big data infrastructure is expected to provide: Connect and unify all data sources Generate powerful business insights Allow predictive decisions Build a more efficient supply chain Provide a meaningful return on investment Comprehensively change every industry Although the potential of big data has been proven to be successful in many cases , the final state of big data required by most organizations has proven to be a difficult problem.

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