Securosis

Research

Secure Networking in the Cloud Age: Use Cases

As we wrap up our series on secure networking in the cloud era, we have covered the requirements and migration considerations for this new network architecture – highlighting increased flexibility for configuration, scaling, and security services. In a technology environment which can change as quickly as a developer hitting ‘commit’ for a new feature, infrastructure needs to keep pace, and that is not something most enterprises can or should build themselves. One of the cornerstones of this approach to building networks is considering the specific requirements of the site, users, and applications, when deciding whether to buy or build the underlying network. This post will work through a few use cases to highlight the power of this approach, including: Compromised Remote Device: The underlying network supporting cloud computing needs to respond, pretty much instantaneously when under attack. This use case will show how you can protect it network from users who appear to be compromised, without needing someone at a keyboard reconfiguring pipes. Optimized Interconnectivity: You might have 85 stores which need to be interconnected, or possibly 2,000 employees in the field. Or maybe 10 times that. Either way, provisioning a secure network for your entire organization can be highly challenging – not least because mobile employees and smaller sites need robust access and strong security, but fixed routes can negatively impact network latency and performance. Protecting SaaS: Cloud applications have become a visibility black hole for enterprises, so we’ll discuss how to protect users and sites which access critical corporate data, even if they never traverse a traditional corporate network. This is especially important because the lack of clear inspection points on the network breaks traditional security models, so you need to bring the secure network to the site and/or users. Security by Constituency: One of our key requirements is the ability to flexibly support users, locations, and applications; so our final use case will show how a policy-driven software-defined secure network can provide the secure connectivity required by a variety of different users. Of course there is considerable overlap between these use cases. For instance a mobile employee may predominately use SaaS applications, thus benefit from both those use cases. But these scenarios help illuminate the future of secure networking. Compromised Remote Device It happens on your network all the time. A device is compromised and starts acting strangely. One of your security monitors fires an alert, which shows suspicious activity from that device. In the old days you needed to figure out whether the issue was real; then go into the network console, isolate the device, and begin investigation. It all sounds simple enough, right? But what happens when the device is remote, and not on your corporate network? You might not know the device has been compromised, and you may have no way to take it off the network. Hopefully it won’t slip buy long enough to escalate privileges and find a way into your internal network. To address this, you basically extend your network out to your users. So the device connects to the closest point of presence (regardless of where it is) and virtually joins your corporate network. Sure, that sounds a lot like just running each user on a VPN and bringing them back behind your perimeter, but this model offers real advantages. First, traffic is not backhauled to your corporate network, which avoids overburdening the security controls and adding a huge amount of latency. The burden of enforcing security polices happens within the network, not on the devices running on your premises. Second, compromised devices are isolated from the rest of your network. It becomes much harder for attackers to move laterally through your network, because they need to bypass additional inspection points to reach the internal network. Once a device has been determined to be compromised, a policy can automatically quarantine it to prevent access to key SaaS apps and the internal network. Optimized Interconnectivity One of the larger hassles in networking is supporting large numbers of remote sites. Setting up many security devices, especially remotely, both costs and requires onsite IT chops to troubleshoot. And of course traveling employees are all over the place, demanding fully access to critical data (both on the internal network and in the cloud), as if they were in the office. These are two separate issues, but there is one solution. It involves extending the secure network to the user and/or site. This enables you to use a last-mile service, typically a basic dumb Internet pipe, for access to the closest point of presence with access to your network. Once on your network, the user or site gets all the same intelligent routing and security services as on your corporate network. Without having to backhaul traffic to your corporate network. Of course you need to figure out whether to build out PoPs and network infrastructure to extend the network where your organization needs it. In reality, you are likely to engage a network service provider to build a virtual network between your sites, and provide connectivity to your users. This gets you out of the Wide Area Networking business. In many scenarios it provides enhanced network performance, increased security, and greater flexibility. We won’t weigh in on cost because many factors affect the cost of provisioning this kind of network, but the additional capabilities make this a pretty easy decision if the costs are in the ballpark. Protecting SaaS As we mentioned previously, the advent of SaaS has removed much of your visibility into what employees are doing in critical applications. Let’s consider a sales automation service and a disgruntled salesperson who wants to grab his client list before quitting. If they are sitting in a coffee shop somewhere, you probably have no idea what they are doing within the application, because they don’t traverse your network to access the SaaS service. But if you have the rep on a performance plan, you know they are a flight risk. So you can proactively set a

Share:
Read Post
dinosaur-sidebar

Totally Transparent Research is the embodiment of how we work at Securosis. It’s our core operating philosophy, our research policy, and a specific process. We initially developed it to help maintain objectivity while producing licensed research, but its benefits extend to all aspects of our business.

Going beyond Open Source Research, and a far cry from the traditional syndicated research model, we think it’s the best way to produce independent, objective, quality research.

Here’s how it works:

  • Content is developed ‘live’ on the blog. Primary research is generally released in pieces, as a series of posts, so we can digest and integrate feedback, making the end results much stronger than traditional “ivory tower” research.
  • Comments are enabled for posts. All comments are kept except for spam, personal insults of a clearly inflammatory nature, and completely off-topic content that distracts from the discussion. We welcome comments critical of the work, even if somewhat insulting to the authors. Really.
  • Anyone can comment, and no registration is required. Vendors or consultants with a relevant product or offering must properly identify themselves. While their comments won’t be deleted, the writer/moderator will “call out”, identify, and possibly ridicule vendors who fail to do so.
  • Vendors considering licensing the content are welcome to provide feedback, but it must be posted in the comments - just like everyone else. There is no back channel influence on the research findings or posts.
    Analysts must reply to comments and defend the research position, or agree to modify the content.
  • At the end of the post series, the analyst compiles the posts into a paper, presentation, or other delivery vehicle. Public comments/input factors into the research, where appropriate.
  • If the research is distributed as a paper, significant commenters/contributors are acknowledged in the opening of the report. If they did not post their real names, handles used for comments are listed. Commenters do not retain any rights to the report, but their contributions will be recognized.
  • All primary research will be released under a Creative Commons license. The current license is Non-Commercial, Attribution. The analyst, at their discretion, may add a Derivative Works or Share Alike condition.
  • Securosis primary research does not discuss specific vendors or specific products/offerings, unless used to provide context, contrast or to make a point (which is very very rare).
    Although quotes from published primary research (and published primary research only) may be used in press releases, said quotes may never mention a specific vendor, even if the vendor is mentioned in the source report. Securosis must approve any quote to appear in any vendor marketing collateral.
  • Final primary research will be posted on the blog with open comments.
  • Research will be updated periodically to reflect market realities, based on the discretion of the primary analyst. Updated research will be dated and given a version number.
    For research that cannot be developed using this model, such as complex principles or models that are unsuited for a series of blog posts, the content will be chunked up and posted at or before release of the paper to solicit public feedback, and provide an open venue for comments and criticisms.
  • In rare cases Securosis may write papers outside of the primary research agenda, but only if the end result can be non-biased and valuable to the user community to supplement industry-wide efforts or advances. A “Radically Transparent Research” process will be followed in developing these papers, where absolutely all materials are public at all stages of development, including communications (email, call notes).
    Only the free primary research released on our site can be licensed. We will not accept licensing fees on research we charge users to access.
  • All licensed research will be clearly labeled with the licensees. No licensed research will be released without indicating the sources of licensing fees. Again, there will be no back channel influence. We’re open and transparent about our revenue sources.

In essence, we develop all of our research out in the open, and not only seek public comments, but keep those comments indefinitely as a record of the research creation process. If you believe we are biased or not doing our homework, you can call us out on it and it will be there in the record. Our philosophy involves cracking open the research process, and using our readers to eliminate bias and enhance the quality of the work.

On the back end, here’s how we handle this approach with licensees:

  • Licensees may propose paper topics. The topic may be accepted if it is consistent with the Securosis research agenda and goals, but only if it can be covered without bias and will be valuable to the end user community.
  • Analysts produce research according to their own research agendas, and may offer licensing under the same objectivity requirements.
  • The potential licensee will be provided an outline of our research positions and the potential research product so they can determine if it is likely to meet their objectives.
  • Once the licensee agrees, development of the primary research content begins, following the Totally Transparent Research process as outlined above. At this point, there is no money exchanged.
  • Upon completion of the paper, the licensee will receive a release candidate to determine whether the final result still meets their needs.
  • If the content does not meet their needs, the licensee is not required to pay, and the research will be released without licensing or with alternate licensees.
  • Licensees may host and reuse the content for the length of the license (typically one year). This includes placing the content behind a registration process, posting on white paper networks, or translation into other languages. The research will always be hosted at Securosis for free without registration.

Here is the language we currently place in our research project agreements:

Content will be created independently of LICENSEE with no obligations for payment. Once content is complete, LICENSEE will have a 3 day review period to determine if the content meets corporate objectives. If the content is unsuitable, LICENSEE will not be obligated for any payment and Securosis is free to distribute the whitepaper without branding or with alternate licensees, and will not complete any associated webcasts for the declining LICENSEE. Content licensing, webcasts and payment are contingent on the content being acceptable to LICENSEE. This maintains objectivity while limiting the risk to LICENSEE. Securosis maintains all rights to the content and to include Securosis branding in addition to any licensee branding.

Even this process itself is open to criticism. If you have questions or comments, you can email us or comment on the blog.