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 security of data


The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

security of data  issues associated with the security and privacy of data: Data security risks. These are potential actions or activities that can lead to loss, violation, misuse, or unauthorized divulging of sensitive data. If not addressed, this can become an issue. Data security issue. This is an action that leads to a loss, violation, misuse, or unauthorized exposure of sensitive information. So as part of a global data governance initiative, an information security governance program has much to do with ensuring that

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Documents related to » security of data

IBM Announces IBM Security Intelligence with Big Data


IBM has announced IBM Security Intelligence with Big Data, an offering that combine big data analytics with security intelligence capabilities for addressing both internal and external cyber security threats. The solution aims to provide a comprehensive offering for security analysts to extend their capabilities in detection and prevention. Made in IBM Labs, Security Intelligence

security of data  of diverse data. IBM Security Intelligence with Data also includes a set of pre-packaged content to help companies achieve the application of data security best practices. This and other offerings will help to expand big data usage and, at the same time, provide the big data space with more robustness and maturity to address real business needs. Read More

Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

security of data  is to test its security using a battery of scans and activities to probe all its defenses, and to check compliance with applicable rules, regulations, standards and best practices. Every element in the PCI DSS includes detailed testing procedures that explain what must be checked, what should be found and what kinds of defaults must be in place. Specific requirements related to this principle essentially outline best monitoring and testing practices in information security. Accountability dictates that Read More

Identity-based NAC and PCI Data Security Compliance


As of June 2006, the payment card industry (PCI) has established a detailed set of policy, procedure, infrastructure, and data security requirements for merchants that store and process credit card data. That’s why it’s vital for key PCI requirements to be met when it comes to encryption, user authentication, virus and malware control, access control, and auditing.

security of data  NAC and PCI Data Security Compliance As of June 2006, the payment card industry (PCI) has established a detailed set of policy, procedure, infrastructure, and data security requirements for merchants that store and process credit card data. That’s why it’s vital for key PCI requirements to be met when it comes to encryption, user authentication, virus and malware control, access control, and auditing. Read More

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

security of data  their risks, including the security of customers' private information. The list gets longer every day, and regulations are moving beyond disclosure requirements to penalties and fines for companies whose sensitive data is breached. Breaches and Data Loss Companies need to understand the nature of past breaches and data loss in order to know: where to start protecting data, how to prioritize investments in data protection technologies and how to know which threats are just a nuisance and which are truly Read More

Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

security of data  Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

security of data  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More

IT Security


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security of data  Security Read More

The Integration Factor: The Inherent Value of Best-of-Class Enterprise Solutions


Monolithic ERP systems have proved inflexible in a period of change. The cost of maintenance and modifications are often prohibitively expensive. Yet most best-of-class applications generally lack strong integration tools. As a result, many companies cannot support change effectively. See how you can supplement the capabilities of your legacy ERP solutions with a flexible, innovative financial management system-and thrive during change.

security of data  Integration Factor: The Inherent Value of Best-of-Class Enterprise Solutions Monolithic ERP systems have proved inflexible in a period of change. The cost of maintenance and modifications are often prohibitively expensive. Yet most best-of-class applications generally lack strong integration tools. As a result, many companies cannot support change effectively. See how you can supplement the capabilities of your legacy ERP solutions with a flexible, innovative financial management system-and thrive Read More

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

security of data  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. BEG Read More

Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

security of data  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a Read More

Types of Project Management Communication: Part One of a Three-part Series


As with almost every business activity, the importance of communication cannot be overstated when managing projects. Examining the various phases of project management, it’s easy to see the importance of all types of communication at each phase. By taking a closer look at the main phases of project management listed below, we will discuss strategies to obtain both internal and

security of data  of Project Management Communication: Part One of a Three-part Series As with almost every business activity, the importance of communication cannot be overstated when managing projects. Examining the various phases of project management, it’s easy to see the importance of all types of communication at each phase. By taking a closer look at the main phases of project management listed below, we will discuss strategies to obtain both internal and external customer satisfaction. In order to achieve Read More

The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

security of data  needs for storage and security as volume and sensitivity increases (figure 2). Figure 2. From data quality to data governance All levels of an organization have come to realize that data usage must be aligned with the business process in order to become an asset capable of bringing real value to an organization. The better we treat this data, the more value an organization will be able to get from it. When an organization has reached the stage of aligning data quality with its business process, the Read More

The Future of Talent Management: Underlying Drivers of Change


The next generation of talent management practices and solutions will largely be driven by economic evolution, demographic changes, and technology advancements. These factors are dramatically influencing the way people work, the way companies are organized, and the way talent is managed. This paper explores how current business and talent management processes and technology must evolve in order to effectively deliver business value in the next 5 to 10 years.

security of data  Future of Talent Management: Underlying Drivers of Change The next generation of talent management practices and solutions will largely be driven by economic evolution, demographic changes, and technology advancements. These factors are dramatically influencing the way people work, the way companies are organized, and the way talent is managed. This paper explores how current business and talent management processes and technology must evolve in order to effectively deliver business value in the next 5 Read More

Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

security of data  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More