MELBOURNE – 22 August 2017 – ExtraHop, the leader in real-time IT analytics, today announced the general availability of its machine learning service, Addy, in Australia. When paired with the ExtraHop analytics-first workflow recently introduced as part of version 6.2, IT teams are instantly alerted to performance and security 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 availability of ExtraHop Addy in Australia accelerates the company's momentum in the country, strengthening channel and alliance relationships and delivering enhanced value to customers across sectors including telecom, retail, and travel.
ExtraHop Addy is the industry's first SaaS offering that observes and analyses all digital interactions and applies machine learning to wire data to detect anomalies as they happen, helping IT teams take a proactive, data-driven approach to supporting and securing the digital experience. With IT performance and security top-of-mind for Australian enterprises looking to gain and keep a competitive edge in the digital business era, demand for a machine learning service has been high.
"The real-time network analytics ExtraHop provides already helps Australian companies better understand their environment and detect threats," said Bryce Hein, Senior Vice President for ExtraHop. "With Addy, we're bringing machine learning to bear, helping surface performance and security anomalies faster than ever, and cutting through the noise to keep IT and security 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."
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 directly into the ExtraHop UI. Feedback from in-house and crowd-sourced domain expertise complement the core algorithm and heuristics, helping to reduce the number of false positives over time to surface only the most critical issues.
According to Gartner analyst Colin Fletcher, "Current and future demands of infrastructure and operations (I&O) require a specific, strategic investment in a platform that is designed to collect and analyze data from any source with the assistance of increasingly intelligent machines."
According to the Accenture High Performance Security Report 2016, only 65 percent of effective breaches are discovered by internal security teams. In Australia, over half the respondents questioned for the report admitted it takes 'months' to detect successful breaches. Through constant synchronisation with existing internal systems ExtraHop Addy, gives businesses the power to analyse their networks closely in real time.
Over the course of a nine months beta program, and now in production in numerous customer environments in the United States, ExtraHop Addy has helped IT organizations spot and resolve hundreds of performance- and security-impacting anomalies, from reverse DNS lookups to the recent WannaCry ransomware outbreak. As a result, Addy customers have increased uptime, detected threats, mitigated breaches, improved performance, and fostered better collaboration across teams.
To experience the power of ExtraHop Addy, explore the interactive online demo.
Is machine learning hope or hype for IT? Find out what IT professionals think in our TechValidate market survey report.
Resources:
- Get started with Addy today.
- Learn more about engineering ExtraHop Addy.
- To experience the power of the ExtraHop platform, explore the ExtraHop interactive online demo.
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- Gartner, Innovation Insight for Algorithmic IT Operations Platforms, Colin Fletcher, April 26, 2017.
- High Performance Security Report 2016: Building Confidence Facing the Cybersecurity Conundrum, An Australian Perspective, Accenture.