Comprehensive Data Security for Peoplesoft and SAP Application

  In order to minimize the excessive spread and disclosure of confidential data within an organization, data masking, often known as pseudonymization, is used. Data masking replaces real data with usable fictional data so that it can be safely used in cases where there is no requirement for actual data. Many types of sensitive data can be shielded with data masking. For example: Protected health information (PHI) Personally identifiable information (PII) Intellectual property (ITAR and EAR regulations) Payment card information (PCI-DSS regulation) Through the data masking solution, data values are altered while data formats remain unchanged. Data masking uses many techniques to modify confidential data, including the replacement of characters or numbers, the shuffling of characters, or the use of random data generation algorithms that have the same properties as the original data. Here are three key reasons why enterprises should incorporate data masking in their broader data secur...

  Because of the   COVID-19 pandemic , organizations around the globe were forced to implement a work-from-anywhere scheme. With staff accessing cloud resources, collaborative tools, and remote systems from home and public networks, and not only via the privacy of a VPN, this has become the new way of doing business. This rapid transition brings a host of safety issues for businesses. Some of the most prominent cybersecurity threats are outlined here. 1. Evolving Traditional Cybersecurity Threats  Cyber threats such as phishing, malware, trojans, and botnets will remain prominent; it seems obvious. Such attacks, mostly mined from company websites and social networks, are increasingly automated and customized to personal information. These kinds of hazards will continue to increase in number and frequency as movements towards automation increase. These risks may be influenced by current events as well. During the pandemic, we saw a surge in phishing emails, taking advantag...

Role-Based Access Control (RBAC) is an aspect of identity and access management whereby resource access is granted to users based on their role in organizations. Implemented properly, it can help organizations ensure data security and adhere to data privacy guidelines. Listed here are some RBAC best practices. 1. Build an RBAC Strategy Creating a plan starts with an evaluation of where you are (data, method, policy, systems), determines your ideal future state (automated RBAC-enabled access provisioning for a collection of apps and systems), and identifies the critical gaps that need to be addressed (data quality, process problems, various system-to-system authentication/authorization models). Identifying the challenges upfront makes it easier to fix them head-on before the implementation starts. 2. Establish a Framework for Governance Organizations preparing for RBAC need to make decisions on project goals, set expectations, manage and support implementation, set performance metrics,...