Introduction
New practices and technologies are continually advancing every day by using computers to transmit, manipulate and store information and data, concerning the tools and processes deployed to protect sensitive business information from modification, destruction, inspection, and disruption. Hardware authentication, data loss prevention, the cloud, deep learning, and user behavior analytics are some of the few emerging technologies which can provide enhanced security for Sifers Grayson’s company. Improving the security details can reduce cyber risk at the company and also help minimize cost by keeping up with compliance requirements, thus avoiding financial losses and influencing technology and industry best practices. This analysis will describe some of the emerging technologies that Sifers can use to strengthen their security systems.
Main text
Some of the security system technology the company can utilize include, authentication. This is an Intel new technology that provides access control for systems by checking whether the credentials in the database match the user’s authorizations in a data authenticable server or database of an approved user. With this system, Sifers Grayson’s personnel will have less liability if in the event of misplaced or stolen property by improving local access control. Networking throttling and analytics are the second, and which is an intentional slowing down of internet speed. It emulates low bandwidth conditions experienced by a large segment of the site user base that is targeted by hackers. If a set of predefined steps are triggered, sifers Grayson’s network will be able to throttle traffic intelligently.
Thirdly, CyberMist is an easy modern enterprise that is easy to use; it is purpose-built and powerful. Modern ML frameworks that cloud-based servers run are considered the accurate and most powerful way to detect malicious behavior. By using blockchain technology, the network is distributed and can have millions of users all over the world. Each user can add information and data to the blockchain which is secured through cryptography. In a digital ledger, the information processed gets permanent and verified since the ledger gives visibility and transparency, making it difficult to tamper with the content (Shin, 2019). Deception technology is another is the next technology, and it is used to defer attackers or and delay their progression into the system. Therefore, it is aimed at cybercriminal prevention which manages to infiltrate a network and prevents intruders from causing any significant damage.
Authentication technology. There is no company, whether small or big, which is immune to securities breaches. Many corporations have been hacked into revealing sensitive information about their owners, clients, and employees. Some of the popular authenticable methods which most network security uses are multi-factor, transaction, out-of-band, and token authentication. Network throttling enables a developer to emulate a user’s experience, whereby one can fix or readily identify load time issues (Huda & Muhamad et al., 2018). For instance, to allow a test of one’s app under slow network conditions, browser developer tools generally have options of network throttling.
CyberMist is a better detector of intrusion by design, and it has a highly scalable security data analytics mesh that is geographically distributed in nature. In the event, it maintains a centralized view and control function via the cloud that was constructed by TensorMist-Al. For data movement to be eliminated, CyberMist delivers the performance of scale, privacy, and compliance as a critical advantage of the enterprise. Blockchain is a specific type of database that stores data in blocks that are later chained together, and that is how it differs from the typical database. Once the block is filled with data it is chained to the previous one giving a space for the new data to enter as a fresh block. For instance, in transactions, blockchain is used in a decentralized way so that no group or single person has control but all users collectively retain control. Therefore, it is immutable meaning that the data entered is irreversible. Finally, in deception technology, products can be analyzed, fortified, and detected against advanced or zero-day attacks, often in real-time (Jo & Park., 2019). They offer insight into harmful activity, controlled and reliable inside the network that is internal, and which may be overlooked by other forms of cyber protection.
Some of the vendors for this technology are Microsoft team security threats, CASB/DLP, data-centric security for cloud, Gartner Magic Quadrant for CASB, block changers, open ledger, chromaway, prolific, sciences of, attivo networks, acalcio technologies, illusive networks, and shape securities. The product and services have added an impact as witnessed in the existing market research. The product has assisted in various ways, for instance, they have helped in contributing to strengthening market transparency, decreased liability, and returns diverted revenue. It has detected counterfeiting, dilution, and diversion of data using anti-counterfeiting technology and has experienced tremendous growth.
Also, manufacturers can monitor closely inventories because the supply chain is more secure, and has deployed multilayer securities approaches with full implementation and design of programs. This has helped in the protection of implemented branding in major commercial trademark industries. On the other hand, blockchain has brought transparency in the application of currency and transaction payment, its application with the operation of smart contracts can track coins, transactions, and protocols.
Conclusion
There are so many cyber-crimes worldwide, therefore Sifers and Grayson ought to take early precautions and find ways and means of protecting their system. There is a wide range of advanced security technologies, that they can choose from, like the ones mentioned in this essay system security is of paramount importance to any company, and many entities have decided to invest hugely in this area because they know its importance. Therefore, Sifers ought to use this analysis and decide on which kind of security technology would suit them.
References
Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K., & Muhamad, N. (2018). Big data emerging technology: insights into the innovative environment for online learning resources. International Journal of Emerging Technologies in Learning (iJET), 13(1), 23-36.
H., Sharma, P. K., Sicato, J. C. S., & Park, J. H. (2019). Emerging Technologies for Sustainable Smart City Network Security: Issues, Challenges, and Countermeasures. Journal of Information Processing Systems, 15(4), 765-784.
Shin, D. D. (2019). Blockchain: The emerging technology of digital trust. Telematics and Informatics, 45, 101278.