5G network architectures are redefining how resources are deployed, managed and utilized within a communications network. A fair blanket statement regarding these changes is that 5G is taking full advantage of cloud-native and virtualization technologies - even pushing them to the next level. These range from cutting edge, revolutionary 100% cloud native deployments from new entrants such as Rakuten, to the more measured non stand-alone (NSA) and hybrid architectures being deployed by the existing wireless service providers. One thing is clear- the days of capital-intensive dedicated physical infrastructure is meaning less and less as cloud-native technology is used to deploy dynamic, service-oriented, and highly scalable resources to deliver on the promises of 5G.

But, what does this mean for data visibility?

As we’ve shared previously - networks are the circulatory and nervous systems of your enterprise. Indeed; “the network is the computer”, and networks are an invaluable source of ground-truth. From a communications perspective, you can learn a lot by directly observing who is speaking, to whom they are speaking, the language they are using, the tone of voice, and the content of the communications. When it comes to network communications and metadata the analogies are obvious: in the case of DNS traffic- mapping URLs into IP addresses, and identifying underlying services and connected devices - in the case of TLS protocol, getting detailed insights into the encryption capabilities and device characteristics - likewise the GTP protocol provides geo-location specific information, and in the case of the MODBUS protocol, understanding the communications within industrial control systems. 

Announcing the MantisNet Network Stream Processor^SM App for Splunk

We’re excited and proud to announce that the MantisNet Network Stream Processor^SM (NSP) App for Splunk is now available.

The App enables ingestion of streaming network metadata using key-value pairs: a powerful, new form of serialized metadata produced by MantisNet sensors. Customers can now access, integrate and manage these new forms of lossless, ultra-efficient, ultra-accurate and high-resolution metadata, to support continuous real-time network detection and response in Splunk.

This is a continuation of our blog series on the advanced functions for network visibility solutions with fully programmable data pipelines. Read our introduction to the series here.

Another great example of the power behind fully programmable pipelines is the ability to gain insight into the actual visibility solution itself. Solutions such as the MantisNet RFP-NG are able to leverage the processing logic of these pipelines to better visualize what types of events are unfolding on the wire over time and provide metrics related to the rules that are running. Once again, let’s simplify things here for a moment to best understand this concept….

This is a continuation of our blog series on the advanced functions for network visibility solutions with fully programmable data pipelines. Read our introduction to the series here.

The biggest elephant in the network visibility room has always been the fact that you don’t know what you are missing. If there are packets with structures that fall outside of your fixed-function ASIC-based chip/solutions capabilities (and trust me, there always are), you are not only going to drop those packets, but you also have zero indication that you just missed a packet. The packets simply fail to parse, and you will not know that you are missing that information. You can’t control, what you can’t see.

This is the first in a series of blog posts that examine the topic of fully programmable data pipelines and their potential to transform the network visibility industry. Within this series we will be discussing what a programmable pipeline actually is, how solutions built with programmable pipelines differ from what has been available on the market, and the advantages organizations stand to gain by adopting such solutions.

Before we begin, it is important to note that programmable pipelines are here today due to a key innovation made in the networking switch world- the development of a programmable ASIC/chip. This new chip, along with the open source language used to program the chip, have allowed a new breed of network visibility solutions to emerge. These solutions are dramatically different than legacy network packet brokers- solutions which are built using static, fixed-function ASICs.

Throughout this blog series we will make sure to cover the differences between these two solutions, as well as highlight the advanced visibility functions that are now available to users for the first time thanks to fully programmable data pipelines.

DNS. A necessary mechanism that makes global network communications work, connecting services to the internet or private network, thereby powering our digital lives can also present confounding and problematic engineering challenges with cybersecurity implications. Site not responding, nefarious applications, applications not resolving, broken network connectivity…many initial responses are Is it DNS? it’s DNS, “It’s always DNS”.

DNS, the domain name system, connects domain names to IP addresses that locate and route information and traffic from a source location to a client can be the bane of many network and cybersecurity engineers as they maintain networks or investigate potential threats on the network.

We’ll look at this critical network component, its threat value and how you can make DNS an actionable component

We had the pleasure of participating in a panel discussion with Michelle Drolet, CEO of Towerwall, Peter Dougherty, CEO of MantisNet and moderated by Diana Kelley, Cybersecurity Field CTO at Microsoft on automating threat detection and response.

Below you can read some of the highlights of the discussion and you can register (click the play button) to listen to the full discussion.

In the beginning, networks and the Internet writ-large were designed with the notion of intrinsic security based on a perimeter wherein a person, application or third-party was verified and subsequently granted an all-inclusive ‘trusted’ status. Suffice to say, this approach has resulted in damages and incalculable losses on a global scale. Trust placed on verification at only of a few points of access has proven to be lacking. To put it mildly, according to the Cloud Security Alliance in their Software-Defined Perimeter Architecture Guide, “Today’s network security architectures, tools and platforms all fall short of meeting the challenges presented by our current security threats.”  With recent (network) technology advances, we are now capable of building continuous verification to enable zero-trust.

Digital transformation and the growing complexity of IT environments present new vulnerabilities that can be exploited by attackers for reconnaissance, delivering malicious payloads or to exfiltrate data. Using live network traffic for analysis to expose hidden malicious or anomalous activities and security threats among the complexity is fundamental for improved detection and response. So much so, that Gartner recently published an inaugural market guide for network traffic analysis (NTA), to help organizations understand what to look for (more on that later).

What is network traffic analysis (NTA)?

Network traffic analysis uses network communications and their protocols for detection, identification and analysis of cybersecurity threats and potential operational issues. As you’ll read, we propose doing this in real-time, with wire-speed network data and analytics to meet the demands of digital business and to gain an edge on reducing mean time to detect (MTTD) / mean time to respond (MTTR).