Comprehensive Data Security for Peoplesoft and SAP Application

  For different reasons, those employed in the critical area of cybersecurity are always stressed. The workload is immense since cybersecurity teams are typically understaffed. The very essence of the work is highly demanding as well. In such situations, solving the burnout problem requires companies to work better, not harder. Here are some approaches that businesses can adopt to take the challenges head-on. Understanding The Business The COVID-19 pandemic has shown that companies need to be able to quickly adjust and adapt, whether in response to a crisis, customer needs, or technology. This need for speed puts IT security at the forefront, to the point that cybersecurity is no more a technology problem; it's a business issue. Organizations should make cybersecurity the overall business plan part of. In order to ensure that security is integrated in organizational culture, this means inculcating a security-first mindset. Recognizing The Complexity COVID-19 has establish...

  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...

  As per a recent estimate, the global average cost of a data breach exceeds $3.5 million. It is, therefore, essential to protect sensitive business information. In addition, data protection is now everyone's responsibility across the entire organization with more stringent laws and governance standards. Besides, the instances of data breaches are increasing rapidly. That being said, to proactively protect their data, avoid the expense of security breaches, and ensure enforcement, a growing number of organizations rely on data masking. Defining Data Masking Data masking is a method businesses use to conceal data, as is evident from the name itself. Real data is usually obscured by random characters or other data. The primary function of masking data is to shield confidential, private information. Various types of data can be shielded using masking, but the following are widely used in the business world: · PHI or Protected health information · PII or Personally identifiable inform...

  SAP HANA - a high-performance in-memory database - accelerates data-driven, real-time decision-making and practice. It supports all workloads with the most extensive advanced analytics on multi-model data, both on-premise and in the cloud. SAP HANA offers a robust security system to help safeguard your data. Apart from the authentication/single sign-on, user/role and authorization management, audit logging, and encryption functionality that already existed, SAP HANA also offers native dynamic data masking functionality. Authorization is the primary means of controlling access. The privilege framework of SAP HANA is based on standard SQL privileges allowing for fine-granular control, with extensions for different use cases such as dashboards or reporting. Roles allow for efficient separation of duties. The functionality of native data masking alters how data appears in views without modifying the underlying data. Since the underlying data remains unchanged, calculations on the ma...