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.
The Latest
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...
In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...
Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
