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What is Data Masking

Data masking is the process of obscuring (masking) specific data elements that identify an individual, potentially exposing customers or employees to prevent theft or other forms of privacy invasion. It ensures that sensitive data is replaced with realistic but not real data. The goal is that sensitive customer information is not available outside of the authorized environment.  more»

 

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data security, regulatory and privacy management

Compliance, Security, Data Masking, New York, Connecticut, New Jersey, Massachusetts, Rhode Island

GRT provides expert IT Risk Management, Data Security, Data Privacy, Data Masking and Regulatory Compliance consulting services to companies in the United States and arround the world.

data security, regulatory and privacy management

business intelligence, operational, analytic and business reporting

Business Intelligence, New York, Connecticut, New Jersey, Massachusetts, Rhode Island

GRT assists you in development, design and implementation of a data warehouse and business intelligence strategy that ensures common framework across the enterprise.

business intelligence, operational, analytic and business reporting

Information strategy, gap analysis, tactics, design and implementation

Data Warehouse and Business Intelligence Staffing Solutions, New York, Connecticut, New Jersey,  Massachusetts, Rhode Island

GRT is a leader among expert staffing solutions in IT functions associated with Data Security, Business Intelligences and Data Warehouse. We help you meet your information management consulting and staffing needs.

Information strategy, gap analysis, tactics, design and implementation

A Privacy Clash in the Cloud?

A Privacy Clash in the Cloud?The cloud computing era is having many effects, but one of them deserves more attention than it is getting. The cloud is raising the stakes in a global struggle over privacy rights and data security.

Michael Chertoff, former head of Homeland Security (2005-2009) and now head of a global security and risk-management firm, notes that the cloud greatly expands the scope of privacy-rules disputes. Most immediately these dispute involves the US and EU.

EU justice commissioner Viviane Reding has put the European case firmly: "Companies who direct their services to European consumers should be subject to EU data protection laws." In an earlier era US firms could have avoided such complications by simply not entering the European market. But the public cloud is, if not inherently global, at least globally accessible unless specifically blocked.

Carving the cloud into national or regional sectors is at minimum technically challenging, and arguably a fundamental contraction. A partitioned cloud is no longer really the cloud. Chertoff sees possible outcomes ranging from a "race to the bottom" by cloud providers to a fragmentation of the Internet. He argues for the EU to hold off on enforcing its own standards until some common "Western" standard can be devised.

Privacy standards are the obverse of security standards. If privacy protections are slack, security protections will also be slack. For this reason, US firms concerned with their own data security may well ask themselves whether the current weak US privacy protections are really in their own interest.