December 06, 2004
Protegrity Corp announced that it has signed a contract with a company in the top 50 of the Fortune 500 to implement Secure.Data, the company's software solution for centralized management and auditing of data security policies and for data encryption. Secure.Data will be immediately installed to protect sensitive and private customer, employee, and financial data on 15 to 20 different servers operating Oracle and MS SQL Server-based applications. The contract was signed after the successful completion of a four-month pilot program.
The primary driver behind the decision was California SB 1386, a law that encourages businesses to encrypt non-public personal data in order to avoid penalties. The law affects all organizations that maintain information about California residents.
According to Ulf Mattsson, chief technology officer for Protegrity, Secure.Data was selected because of its robust and mature technical capabilities, ease of deployment, and price/performance strengths. "During the evaluation process, the client recognized that data encryption offered distinct advantages to application- or hardware-based security solutions," said Mattsson. "We won the contract for a variety of reasons, including our patented and automatic key management, the ability to separately manage and audit security responsibilities, and our solution's ability to effectively secure data with minimal impact on application performance."
"The business value of our solution was clear to the client," said Gordon Rapkin, president and CEO. "Decision makers realized they could rapidly deploy a complete and proven solution with minimal staff resources. They avoided the risks and challenges of customizing mission-critical applications and gained legal compliance with a highly cost effective investment."
Corporate customers implement Protegrity's solutions to centrally define and manage enterprise data security policies and to comply with current and emerging regulations such as HIPAA, Sarbanes-Oxley, and Visa's Cardholder Information Security Program (Visa CISP), as well as California SB 1386. Secure.Data selectively encrypts sensitive data at the data-item level for database and storage security. The solution, which incorporates patented security technology, delivers a unique combination of strong data protection and extensive auditing and management reporting capabilities, without impacting existing applications and IT infrastructure.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.