Streamlining Cybersecurity With Immutable Log Files

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Although typically relegated to the sidelines, making use of log files and the execution of a strong log management technique is essential for ensuring the performance and stability of service applications while likewise adding an extra layer of security through the in-depth data tracking and tracking of crucial risk areas that are the main target of cyberattacks.

What is a log file?

Logs are an outstanding tool for discerning user behaviour patterns, choices, while also functioning as a system for finding common mistakes made by users. In this context, logs can provide an accurate context about what a user was doing when he or she experienced a mistake. The apparent security and troubleshooting purposes, logs can promote organisation development through the data they collect, as they use an overview of the locations that a service can enhance to provide better performance and enhanced customer complete satisfaction.

Data logging is the process of evaluating the data collected in log files in order to help business adhere to cybersecurity policies and guidelines, improve audit, recognize system troubleshoots, abnormalities or suspicious activities that may hint at a cybersecurity hazard.

A log file is a computer-generated time-stamped document that contains relevant details about user activities, operations, and patterns serviced by applications, choices, and actions taken by an application according to a pre-established reasoning, and runtime qualities of applications. In essence, application logs are files which contain info occasions that have occurred within a software application.

Enhancing log files with blockchain enabled immutability

Blockchain provides a viable option to existing log file storage systems. By combining cryptography with hashing algorithms, blockchain ensures log immutability, a function that brings extraordinary levels of trust to the information owned by enterprises. In turn, immutability supplies data stability which significantly streamlines audit procedures, while offering evidence to system owners and stakeholders that the details has not been changed.

RPA activity log monitoring incorporates the mechanisms and policies that are utilized to observe, identify and inform in real-time, any deceptive efforts on manipulating the information in a system, or other unfavorable internal or external activities while determining the performance of security tools and data policies.

The benefit of immutable logs.

Modex has partnered with UiPath to provide an alternative to the conventional log file storage systems. Modex Blockchain Database (BCDB) has actually been integrated into the UIPath Orchestrator through a series of ports to simplify the security and boost the auditability of the activity logs of software application robotics through the immutability provided by the Blockchain Database solution. As a middleware software application that is agnostic from a database engine and blockchain perspective, Modex BCDB inserts itself as an extra layer over the database in which companies store logs This way clientsthat implement UIPath Orchestrator can rapidly configure the Modex BCDB service to tap into the benefits of blockchain-enabled immutability, creating a tamper-resistant community for their logs files.

Depending on the log management mechanism and the internal requirements a company might have, log files are typically kept in SQL or NoSQL database systems. The drawback of relying on traditional database engines is that they are susceptible to cybersecurity dangers varying from external tampering from destructive stars to internal modifications from a dissatisfied staff member.

Data integrity and data immutability are directly connected to the readability and trustworthiness of database records. In RPA systems that count on several software robots that continuously manipulate and exchange information with each other, making sure information integrity requires continuous maintenance and regular backups to guarantee the precision and consistency of information throughout its life-cycle.

In an RPA and cybersecurity context, log immutability significantly lowers overhead costs, improves operations and unlocks new value:

Log integrity is guaranteed by blockchains architecture and data storing system. It can not be changed without compromising the whole information chain as soon as data has been introduced in a blockchain network. Any data discrepancies are automatically found by the system, which allows business to identify in real-time any tampering efforts.
Log files saved on a blockchain network can not be deleted by a cybercriminal in an attempt to cover their tracks. Even if modifications happen, blockchain provides complete information traceability as it tape-records a complete history of each version of the information presented in the system.
Boosted performance– log immutability enables information traceability and record history which can unlock new business momentum and new opportunities in analytics
Ideal settlement community– information traceability, immutability, integrity, and a total record history can minimize pricey business-related disagreements from months and even years, to a couple of days

Conclusion

As it is with technology in general, there is always space for enhancement. In the context of log files and log management, the stronger the storage medium, the lower the danger of a cybercriminal taking your data and deleting the log files to cover their tracks. Due to its fundamental design choices and amount of helpful characteristics, blockchain will usher in a brand-new generation of immutable logs that will challenge our understanding of audit processes, RPA monitoring, and cybersecurity.

Blockchain supplies a feasible alternative to existing log file storage mechanisms. By integrating cryptography with hashing algorithms, blockchain makes sure log immutability, a function that brings extraordinary levels of trust to the information owned by enterprises. Log integrity is ensured by blockchains architecture and information storing mechanism. In the context of log files and log management, the more powerful the storage medium, the lower the threat of a cybercriminal taking your data and deleting the log submits to cover their tracks.

The obvious security and troubleshooting purposes, logs can promote company growth through the information they collect, as they offer an introduction of the areas that a company can enhance to provide better performance and enhanced client complete satisfaction.