WHITE PAPER:
Intel conducted tests on Web servers serving encypted data to quantify the benefits of AES-NI and found that AES-NI reduced computational overhead of encyrption by 50 percent. Continue reading this paper to learn more about the tests and results.
WHITE PAPER:
This paper shows you how integrated approaches that look beyond the firewall and single technology defenses can defend your company from emerging fraud threats.
WHITE PAPER:
This whitepaper details the background you need to build an effective compliance program by understanding benchmarks, the basic building blocks of compliance initiatives. You'll learn about the benchmarks specified by the Center for Internet Security (CIS), which are often used as a starting point for creating a compliance initiative.
WHITE PAPER:
In this detailed white paper, explore this year's report on the latest risks and security challenges organizations are facing today, and offers best practices to boost security fundamentals and policies to meet these advanced persistent threats (APTs).
WHITE PAPER:
This white paper features an encrypted email solution that eliminates the need for paper-driven information sharing processes, and ensures secure, compliant transfers.
WHITE PAPER:
This paper explores how advanced cybersecurity threat management techniques can help companies better prepare for, respond to, and detect advanced cybersecurity threats. It also explores how more advanced cybersecurity threat management capabilities can help organizations detect and respond to threats within days instead of months.
WHITE PAPER:
This exclusive paper analyzes the business differentiators among the leading security vendors and examines how safe they can actually keep your data.
WHITE PAPER:
A major security incident happening isn't a matter of "if", it's simply a matter of "when" for the modern business. This expert e-guide will lead you through the pillars of a solid incident response plan, how to automate your policy with incident response tools, and more.
WHITE PAPER:
Many enterprises rely on Hadoop to manage and analyze large volumes of data, and as such, they are looking to deploy the right architecture to optimize compute and storage requirements. The traditional approach is running Hadoop on DAS -- but is there a better way?
