Due to the revolution of the internet, cyber-attacks on unsecured networks are increasing tremendously and organizations are on the verge of data breaches. Securing proprietary information, Personally Identifiable Information (PII), or any other sensitive data have become a daunting task. Preventing business disruption, information theft, and reputational loss is necessary to thrive and survive in the competitive industry.
From performance information to fault and intrusion detection, logs can provide you a lot more things with regard to what is happening on your systems and network along with the timestamps and order of the events. Logs can be invaluable for resource management, instruction detection, and troubleshooting. More importantly, logs can provide an admissible evidence for forensic purposes in the aftermath of an incident. The following sections provide a deep dive into some use-cases of logs.
The logging ecosystem or a logging infrastructure is the set of all components and parts that work together to generate, filter, normalize, and store log messages. The purpose of this logging system is to use logs for solving particular problems. For example, the logs can help to find out the source of the attack. This article defines each component of logging ecosystem and illustrates how they work.
The most hyped law on data protection has finally come into effect on May 25, 2018. Passed by the European Parliament on April 14, 2016, it is already being touted as the most stringent data protection law across the world. Prior to GDPR, Data Protection Directive of 1995 was applicable which now stands repealed. Apart from the businesses incorporated in the European Union, GDPR also applies to businesses incorporate outside the European Union but are dealing with the data of EU residents.