January 17, 2013
CHARLOTTE, N.C., Jan. 17 – National IT infrastructure and cloud solutions provider Peak 10 announced that its data centers and cloud infrastructure have been validated for PCI DSS 2.0 Level 1 compliance. The company recently underwent a rigorous audit by an independent Quality Security Assessor (QSA) to ensure that it meets best practices and security controls needed to keep credit card data safe and secure during transit, processing and storage.
The Payment Card Industry Data Security Standard (PCI DSS) is a proprietary information security standard for organizations that handle cardholder information for the major debit, credit, prepaid, e-purse, ATM and POS cards.
Validation of Peak 10’s compliance with PCI DSS ensures that customers using the Peak 10 PCI-compliant Cloud can leverage the company’s enterprise-class facilities and cloud infrastructure to ensure the security and availability of their applications and data, as well as help meet their own requirements for PCI compliance. Peak 10 is on the ‘Approved Service Providers’ list for major credit card brands and provides an extensive highly secure network coupled with 24/7 technical support to minimize risks that can compromise sensitive data security.
As part of its standard security measures, the Peak 10 PCI-compliant Cloud employs multi-layer protection and data access limitations. It also monitors, defends against and mitigates cyber assaults and threats. Features include antivirus management, vulnerability scanning, a secure audit trail and resource tracking along with round-the-clock technical support by comprehensively trained Peak 10 staff to maximize uptime and availability and enhance security.
In addition to the PCI DSS audit, Peak 10 successfully completed annual company-wide compliance audits for SSAE 16 (Statement on Standards for Attestation Engagements 16), the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health (HITECH) Act for its data center and cloud infrastructure operations.. Industry research shows that organizations are exhibiting stronger assurance for maintaining regulatory compliance in the cloud. According to a recent Microsoft study, 34 percent of SMBs that use the cloud felt more confident in their company's regulatory compliance than in their pre-cloud days.
“While customers remain responsible for many aspects of the compliance of their technologies and applications, their use of Peak 10’s cloud infrastructure can help meet many of the requirements for compliance with PCI DSS and HIPAA/HITECH,” said David Kidd, Peak 10’s director of quality assurance. “The successful completion of this most recent series of audits is part of our continued commitment to maintaining a well-governed, high-quality IT service environment.”
Peak 10’s portfolio of cloud services also includes a HIPAA-compliant Cloud solution for businesses handling electronic Protected Health Information (ePHI).
About Peak 10
Peak 10 provides reliable, tailored cloud computing, information technology (IT) infrastructure solutions and managed services, primarily for mid-market businesses. Customer-centric, responsive and cost-effective, Peak 10 solutions are designed to scale and adapt to customers’ changing business needs, enabling them to increase agility, lower costs, improve performance and focus internal resources on their core competencies. Peak 10 holds the Cisco Cloud Provider Certification with a Cisco Powered Cloud Infrastructure-as-a-Service (IaaS) designation. Peak 10 is SSAE 16 audited and helps companies meet the requirements of various regulatory compliance acts such as Sarbanes-Oxley (SOX), HIPAA/HITECH, PCI DSS and Gramm-Leach-Bliley (GLBA).
Source: Peak 10
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
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.
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.