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 supporting the Software Engineering Institute at Carnegie Mellon University’s conference, FloCon: Using Data to Defend. The presentations and discussions at the event provided validation that changes are coming to network and cyber security. More mathematical solutions are being developed to fuel machine learning and algorithms to combat malicious and other network traffic of interest. If you missed the event, an overview and video of our presentation is below.

With billions of websites on the Internet, separating the good from the bad is nearly impossible for your IT team.  However, by combining specific tools with streaming analytics, you can better secure and harden your network into a real-time, dynamic cyber security system that identifies potential attacks and blocks them during initial DNS exchanges - effectively stopping security breaches before they have the potential to reach your users.