ExtraHop announced ExtraHop Addy, a cloud service that applies machine learning to the richest source of IT data — wire data — to provide real-time situational insight for IT teams.
ExtraHop Addy is always-on, serving as the eyes and ears for IT and helping them take a proactive, data-driven approach to supporting and securing the digital experience.
ExtraHop Addy is a SaaS offering that observes and analyzes all digital interactions and applies machine learning to detect anomalies in real time. Using wire data from the ExtraHop platform, Addy builds continuous baselines for every device, network, and application, and then proactively detects and surfaces potential issues in the environment. The core algorithm and heuristics also incorporate feedback from in-house and crowd-sourced domain expertise to reduce the number of false positives and keep IT teams focused on the most critical issues. This means smarter, more proactive and data-driven operations that enable users to deliver everything from increased website uptime to more efficient assembly lines to better patient care.
ExtraHop Addy provides real-time visibility across the entire spectrum of IT operations, from the datacenter to the cloud to the edge, federating that data within the ExtraHop user interface (UI) to provide a unified view of the environment. Alerts are surfaced and visualized within the platform in real time, allowing IT to see what's happening "right now" as well as graphically represent anomalies and outages over time.
"ExtraHop has pioneered data-driven operations with its platform for wire data analytics. Based on an innovative stream processing engine, ExtraHop provides a real-time view across the entire IT environment," said Jesse Rothstein, Co-Founder and CTO of ExtraHop. "With Addy, we're taking the next step, applying machine learning techniques to this vast data set while leveraging the scale, elasticity, and compute power of the cloud."
ExtraHop Addy will be generally available starting in April 2017, as well as through an Early Access Program for select participants.
The Latest
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
