{"id":1014,"date":"2018-05-21T13:00:00","date_gmt":"2018-05-21T13:00:00","guid":{"rendered":"https:\/\/www.darkreading.com\/partner-perspectives\/gigamon\/get-smart-about-network-segmentation-and-traffic-routing\/a\/d-id\/1331845"},"modified":"2018-05-21T13:00:00","modified_gmt":"2018-05-21T13:00:00","slug":"get-smart-about-network-segmentation-traffic-routing","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/get-smart-about-network-segmentation-traffic-routing\/","title":{"rendered":"Get Smart About Network Segmentation & Traffic Routing"},"content":{"rendered":"
\n<\/header>\n

Through a combination of intelligent segmentation and traffic routing to tools, you can gain much better visibility into your network. Here’s how.<\/span> <\/p>\n

The first step to solving the security tool selection problem is asking the right questions:<\/p>\n

\u2022\u00a0\u00a0 Do you handle credit cards? Are you subject to Payment Card Industry (PCI) regulations?
\u2022\u00a0\u00a0 Do you handle Personal Identifiable Information (PII) in Europe that is in scope with the General Data Protection Regulation (GDPR)?
\u2022\u00a0\u00a0 Do you build computer things? Do your engineers do stuff that could \u201clook suspicious\u201d?
\u2022\u00a0\u00a0 Do you have a small number of things you really need to secure, but the rest can burn?<\/p>\n

Step two is taking inventory of exactly what your company does. For example, in my world, I know that:<\/p>\n

\u2022\u00a0\u00a0 We build network security tools.
\u2022\u00a0\u00a0 Our engineers do a lot of DevTest work that \u201clooks suspicious.\u201d
\u2022\u00a0\u00a0 We run traffic generators that create fake network behavior.
\u2022\u00a0\u00a0 We run a lot of testing side by side with production traffic.
\u2022\u00a0\u00a0 We have multiple clouds.<\/p>\n

While our jobs entail much more, these tasks play directly into our tool selection process. Fortunately for me, I\u2019ve been given carte blanche at Gigamon to test whatever tools I want on my live network. In fact, seeing how tools have failed in my network is what led me down the bespoke train of thought. To give some concrete examples:<\/p>\n

\u2022\u00a0\u00a0 User Behavior Analysis (UBA) tools firing dozens of alerts per day.
\u2022\u00a0\u00a0 Network\u00a0Intrusion Detection System (NIDS) tools failing to detect files fast enough due to excessive, irrelevant, traffic.
\u2022\u00a0\u00a0 Metadata alarms triggering at all hours.
\u2022\u00a0\u00a0 Security Information and Event Management (SIEM) systems failing on unusual Transmission Control Protocol (TCP) parameters.<\/p>\n

As a research and development shop that builds security tools, we do a lot of stuff that other security tools would consider bad. For example, if I were to deploy a UBA and one of its criteria is \u201cSecure Shell (SSH) is suspicious,\u201d I\u2019m going to get several alerts or need to do a ton of whitelisting that may even increase my risk, or a combination of both. Likewise, if you happen to be downloading malware samples that pass through your NIDS \u2026 well, as they say, \u201cHang on tight.\u201d<\/p>\n

By contrast, if you\u2019re a retail organization, where SSH on your network would be suspicious since it\u2019s probably something only a few of your administrators are doing, perhaps, for you, a UBA might drop in right out of the box and be an effective tool in your security posture.<\/p>\n

Or what if your business is somewhere in between \u2013 for example, you are developing tools in a cloud environment, but also have normal business operations like financial planning and accounting (FP&A) or human resources (HR)? In that case, tool selection gets more complicated. Each of your supported groups will likely have different threat models that need to be monitored differently \u2013 call it bespoke monitoring to go with our bespoke network. How do you secure those FP&A and HR people while not burning through Security Operations Center (SOC) analysts because of the pile of false positives coming out of your development team? How do you secure that<\/em> team?<\/p>\n

The answer: network segmentation and tool routing.<\/p>\n

More Nuanced Network Segmentation<\/strong><\/p>\n

Yes, I hear you, \u201cI\u2019ve got a DMZ and a management zone, I\u2019m segmented already.\u201d I challenge that you can do better and grow your security posture with even more nuanced segmentation.\u00a0 Segmentation is generally viewed as a method to contain lateral movement, but I claim that we can expand this definition to encompass a strategy to contain lateral movement and provide situationally targeted security monitoring.\u00a0<\/p>\n

By recognizing the different behavioral scopes previously discussed, you can start segmenting based on security requirements. This isn\u2019t a new concept. In James Rome\u2019s paper \u201cEnclaves and Collaborative Domains<\/a>,\u201d he notes that segmentation \u201cis required when the confidentiality, integrity or availability of a set of resources differs from those of the general computational environment.\u201d Does that sound familiar? You can solve this problem when you move into a micro-segmented environment \u2013 part one of the solution.<\/p>\n

Part two is getting the data from each segment to the correct tools.<\/p>\n

\"Figure<\/a><\/p>\n

Figure 1: Micro-segments with tool-specific routing.<\/span><\/p>\n<\/div>\n

Figure 1 shows how micro-segmentation looks at Gigamon \u2013 well, a bit. I\u2019ve purposefully not added much detail so you don\u2019t attack me. But the graphic does show that we\u2019re considering tools based on how to properly monitor each group. For example, with my HR and FP&A teams, a UBA could be very effective at finding unusual behavior such as SSH on the segment or unusual client-client interactions. On the lab network, however, the UBA would likely gurgle blood while a NIDS looking for file hashes could be useful since, even in testing, I don\u2019t expect engineers to be shipping malware around. Additionally, for tools that are of uniform use, like my SIEM, I can route all traffic to it. In my real use case, I don\u2019t do this because I find that targeted metadata is easier to work with and so instead, I generate that off of all my traffic, and route the details that interest me into my SIEM for intel bumping and alerting.<\/p>\n

Through a combination of smart segmentation and selective traffic routing to tools, you can gain much better visibility into your network and, at the same time, create high-fidelity data to work with. This approach helps you better pair tools with workloads, which in the long run, can lower your tool expenditure since you may need less boxes to cover the various targeted segments. What\u2019s more, with intelligent tool routing, you can also skip sending traffic you have whitelisted \u2013 for example, Netflix \u2013 from even hitting the tools, thus lowering the overall tool spend as your network scales up.<\/p>\n

Jack is principal information security engineer at Gigamon, responsible for managing the company’s internal security team \u2013 conducting security operations, security architecture and incident response. A hands-on, seasoned operations manager with a focus on quality and … View Full Bio<\/a><\/span> <\/p>\n

More Insights<\/span><\/p>\n

Read More HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Through a combination of intelligent segmentation and traffic routing to tools, you can gain much better visibility into your network. Here’s how. 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