Resource Library

Many security breaches over the last year have taught us new lessons (or clarified ones we should have already learned). This paper reviews these key issues and focuses attention on 10 responses that we all need to adopt in our approach to security in 2015.

Times are changing. Attacks are becoming much more sophisticated and hackers are exploiting human vulnerabilities to gain access to enterprise networks and private information. Employees and end users want to help protect your company's sensitive data, we just need to motivate them as to why they should care. By educating your employees on security best practices and current human vulnerabilities, you can take a step forward to ensuring you're not a part of the many organizations that are breached.

Amazon Redshift opens up enterprise data warehouse (EDW) capabilities to even the smallest of businesses, yet its costs, security, and flexibility also make it appealing to the largest of enterprises. It allows companies to easily and conveniently scale their EDW needs both up and down, and as a managed service, it allows your team to offload all of the "undifferentiated heavy lifting" of building and maintaining an EDW. Its raw storage costs are about one-fifth to one-tenth of traditional in-house EDW, and AWS has taken great care to ensure its performance is still competitive with those in-house solutions. Before deciding to use Amazon Redshift, however, it's important to understand what it is and is not.

You are a problem. You are a risk to your employer. The actions you take and the activities you perform at work, online, and even in your personal life put your employer at risk. You need to know how you are a security risk to the organization and what you can do to reduce or eliminate those risks. In this paper, I discuss ten common risky behaviors that typical workers engage in and what you can do to avoid being the weakest link in your company.

Increased interconnectivity via machine-to-machine (M2M) communications, the IoE, and smart systems holds profound implications for how business trends continue to evolve. In terms of M2M growth, key developments in security will be essential, from the design and manufacture of devices to more robust cloud security and ensuring the integrity of wireless data transmissions. Without these safeguards in place, organizations and industries that rely on M2M will continue to place themselves at risk.

Many people believe that cloud computing requires server (or desktop) virtualization. But does it? We will look at using virtualization without cloud computing, cloud computing without virtualization, and then look at using both together. In each case, we'll look at where each deployment might be most useful, some use cases for it and some limitations.

Securing corporate information can be a challenge, considering the numerous technologies and platforms that need to be protected. One technology that definitely helps achieve secure data is public key infrastructure (PKI), which enhances the security of data by using advanced access methods and making sure the authenticity of the data flow is preserved.

In 2013, VMware announced VMware Virtual SAN (VSAN), which is VMware's native version of Software Defined Storage (SDS). It is simple, easy to setup and managed by user-defined policies. This paper explains VSAN, its basic requirements and how it works.

The technologies examined reduce operational expenses (OpEx), not capital expenses (CapEx) that has traditionally been the focus of virtualization. Many companies implemented virtualization with the goal of saving money in the form of fewer servers to buy with a side benefit of reducing the footprint of the servers and lowering the required power and cooling. Most of the savings were in capital, but do not expect the same with many of the technologies listed here, because some may even require some additional capital expenditures, at least for software, in order to save on the day-to-day operations of IT. The bigger cost in running an IT department is in the OpEx category anyway, so savings there are recurring.

Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).