ExtraHop Announces Global Availability of Machine Learning Technology
May 02, 2018
Share this

ExtraHop machine learning technology is now available globally in both its performance management and Reveal(x) solutions.

When paired with the ExtraHop analytics-first workflow, IT teams are instantly alerted to security and performance issues that they can then easily and rapidly investigate from high-level performance metrics to individual transactions to packets – all in a matter of clicks. The broad availability of machine learning within the ExtraHop performance and security products delivers enhanced value to customers by surfacing the most immediate security threats and performance impacts.

ExtraHop's advanced machine learning is a highly secure and scalable technology that uses strong detectors based on dimensionality reduction and outlier detection to identify anomalies in real time. The technology builds self-adapting models for every device, network and application, and then proactively detects and surfaces potential issues in the environment directly into the ExtraHop UI. ExtraHop's machine learning automatically de-identifies personal information in order to protect sensitive information and customer privacy, a critical step in meeting global data privacy regulations like GDRP.

"The real-time network analytics ExtraHop provides already helps companies across the globe to better understand their environment and potential threats," said Bryce Hein, SVP for ExtraHop. "With the addition of machine learning, we're helping surface performance and security anomalies faster than ever, cutting through the noise to keep security and IT teams focused on the most important issues. Not only will this help them stay secure and compliant, but it will also help ensure a better digital experience for customers."

In production in hundreds of customer environments in the United States and Australia, ExtraHop's machine learning has helped security and IT organizations spot and resolve hundreds of performance- and security-impacting anomalies, from reverse DNS lookups to the WannaCry ransomware outbreak. As a result, customers using ExtraHop machine learning have increased uptime, detected threats, mitigated breaches, improved performance, and fostered better collaboration across teams.

ExtraHop machine learning is now available within ExtraHop Reveal(x) security products and as an option in ExtraHop performance management solutions in North America, European Union, UK, Singapore, Australia and South Korea, via ExtraHop's value-added resellers and for an annual subscription.

Share this

The Latest

September 19, 2019

You must dive into various aspects or themes of services so that you can gauge authentic user experience. There are usually five main themes that the customer thinks of when experiencing a service ...

September 18, 2019

Service desks teams use internally focused performance-based metrics more than many might think. These metrics are essential and remain relevant, but they do not provide any insight into the user experience. To gain actual insight into user satisfaction, you need to change your metrics. The question becomes: How do I efficiently change my metrics? Then, how do you best go about it? ...

September 17, 2019

The skills gap is a very real issue impacting today's IT professionals. In preparation for IT Pro Day 2019, celebrated on September 17, 2019, SolarWinds explored this skills gap by surveying technology professionals around the world to understand their needs and how organizations are addressing these needs ...

September 16, 2019

Top performing organizations (TPOs) in managing IT Operations are experiencing significant operational and business benefits such as 5.9x shorter average Mean Time to Resolution (MTTR) per incident as compared to all other organizations, according to a new market study from Digital Enterprise Journal ...

September 12, 2019

Multichannel marketers report that mobile-friendly websites have emerged as a dominant engagement channel for their brands, according to Gartner. However, Gartner research has found that too many organizations build their mobile websites without accurate knowledge about, or regard for, their customer's mobile preferences ...

September 11, 2019

Do you get excited when you discover a new service from one of the top three public clouds or a new public cloud provider? I do. But every time you feel excited about new cloud offerings, you should also feel a twinge of fear. Because in the tech world, each time we introduce something new we also add a new point of failure for our application and potentially a service we are stuck with. This is why thinking about the long-tail cloud for your organization is important ...

September 10, 2019

A solid start to migration can be approached three ways — all of which are ladder up to adopting a Software Intelligence strategy ...

September 09, 2019

Many aren't doing the due diligence needed to properly assess and facilitate a move of applications to the cloud. This is according to the recent 2019 Cloud Migration Report which revealed half of IT leaders at banks, insurance and telecommunications companies do not conduct adequate risk assessments prior to moving apps over to the cloud. Essentially, they are going in blind and expecting everything to turn out ok. Spoiler alert: It doesn't ...

September 05, 2019

Research conducted by Aite Group uncovered more than 80 global eCommerce sites that were actively being compromised by Magecart groups, according to a new report, In Plain Sight II: On the Trail of Magecart ...

September 04, 2019

In this blog, I'd like to expand beyond the TAP and look at the role Packet Brokers play in an organization's visibility architecture. Here are 5 common mistakes that are made when deploying Packet Brokers, and how to avoid them ...