Home
 > search for

Featured Documents related to »  data security tools


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

data security tools  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More
Information Security Selection
Start evaluating software now
Country:

 
   

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » data security tools


PCI DSS Made Easy: Addressing the Payment Card Industry Data Security Standard
In 2004, there were 1.3 billion credit cards in circulation in the US. With fraud incidents on the rise, credit card companies are at constant risk of losing

data security tools  the Payment Card Industry Data Security Standard In 2004, there were 1.3 billion credit cards in circulation in the US. With fraud incidents on the rise, credit card companies are at constant risk of losing sensitive cardholder data. At the same time, strict payment card industry (PCI) requirements are forcing companies to put better systems in place to ensure clients are adequately protected. By implementing the right software tools, achieving compliance is possible. 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

data security tools  , Regulatory Data , Data Security Management , Data Encryption , Data Structures , Data Stores , Data Groups , Data Items , Enterprise Architecture Framework , Data Models , Data Storage Systems , Data Protection Solutions , Data Network Security . Table of Contents Table of Contents Introduction The Foundation of a Data Defensible Architecture The Nature and Source of Data Breaches Compliance and Possible Safe Harbors Breaches and Data Loss The Vulnerabilities Expected to be Exploited in the Coming Read More
Vulnerability Assessment: The Right Tools to Protect Your Critical Data
Vulnerability assessment (VA) has become one of the hottest fields within computer security. VA tools are designed to detect and report on security holes within

data security tools  to Protect Your Critical Data Vulnerability assessment (VA) has become one of the hottest fields within computer security. VA tools are designed to detect and report on security holes within software applications, allowing organizations to take corrective action—before devastating attacks occur. Indeed, due to reduction in hacker “time to exploit,” along with intense regulatory pressures, the need for reliable VA has never been greater. Read More
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

data security tools  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
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

data security tools  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Read More
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

data security tools  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

data security tools  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

data security tools  Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems Read More
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

data security tools  Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commissioning team Read More
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

data security tools  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

data security tools  payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More
Application Security, Inc.
Application Security, Inc. (AppSecInc) is the leading provider of application security solutions for the enterprise. AppSecInc's products – the industry's

data security tools  operating systems. By securing data at its source, we enable organizations to more confidently extend their business with customers, partners and suppliers while meeting regulatory compliance requirements. Our security experts, combined with our strong support team, deliver up-to-date application safeguards that minimize risk and eliminate its impact on business. Please contact us at 1-866-927-7732 to learn more, or visit us on the web at www.appsecinc.com Read More
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

data security tools  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

data security tools  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More
Popular Searches

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others