Archive for April, 2018

Splunk Customers Accelerate Business Value Through Artificial Intelligence

New Versions of Splunk Enterprise, Splunk Cloud, Splunk ITSI, Splunk UBA and Splunk Machine Learning Toolkit Now Available

SAN FRANCISCO – April 24, 2018 – Splunk Inc. (NASDAQ: SPLK), first in delivering “aha” moments from machine data, today announced new and expanded artificial intelligence (AI) capabilities across its product portfolio. With the power of AI, Splunk customers can use Splunk solutions to help boost their profitability, performance and security. Splunk also expanded integration capabilities with open source software and cloud-native technologies as part of its ongoing commitment to provide a true, open machine data platform for customers. To learn more and experience Splunk® Enterprise and Splunk Cloud™, visit the Splunk website.

“Organizations frequently consume high amounts of staff time and resources to monitor, analyze and respond to IT operational alerts. Splunk’s new AI enhancements, including the ability to correlate metrics and activity data, enable customers to get answers from their machine data more efficiently,” said Tim Tully, chief technology officer, Splunk. “Our latest wave of innovation is intended to arm customers with the tools needed to translate AI into actionable intelligence. While AI and machine learning often seem like unattainable and expensive pipe dreams, Splunk Cloud and Splunk Enterprise now make it easier and more affordable to monitor, analyze and visualize machine data in real time.”

Splunk Platform Helps Accelerate Customers’ Digital Transformation Through AI and an Expansive and Open Ecosystem

Splunk Cloud and Splunk Enterprise 7.1 deliver AI through machine learning to help customers monitor, search and alert on the critical information organizations need to accelerate their business. These latest releases include an updated metrics engine to power customers’ ability to monitor and alert on numeric data points – from CPU speeds and available hard disk space in a complex IT environment, to temperature readings in Internet of Things (IoT) devices and sensors. The latest versions are also the only enterprise-class data analytics solutions that can ingest petabytes of data per day, as well as search, monitor and alert on that data in real time. With these enhancements, users are better positioned to make sense of their machine data to predict future IT, security and business outcomes.

Splunk Cloud offers customers maximum control and real-time access to their data. This Splunk Cloud release features Dynamic Data: Self-Storage, arming customers with the flexibility to move data from Splunk to their own Amazon S3 storage environment.

“At T-Mobile we’re all about putting customers first, and with Splunk Enterprise we can ensure our customers get the best experience possible when they’re activating a phone, making a call or paying a bill,” said Jonathan Silberlicht, senior director, network service management, T-Mobile. “For example, with the new Splunk Connect for Kafka, we are expanding our real-time analytics capabilities, in turn empowering our front line to make better informed decisions when serving customers. We plan to continue to rely on Splunk Enterprise, Splunk IT Service Intelligence and Splunk Machine Learning to help us scale at Un-carrier speed.”

To expand its open technology ecosystem, Splunk introduced new data integrations with open source software projects and cloud-native technologies including:

Splunk Connect for Kafka integrates the Splunk platform with Apache Kafka, a highly scalable and reliable method for handling real-time streaming data.
Splunk Connect for Kubernetes and Splunk Connect for Docker unify the Splunk platform with the leading solutions for automating deployment, scaling and management of containerized applications.
“Splunk Connect for Kafka will improve our investigation of web activity, performance and security use cases,” said John Swanson, security incident response manager, GitHub. “We’re now able to ingest large, near-real-time data streams and are consuming terabytes of logs from our Kafka cluster into Splunk Enterprise every day.”

Splunk Machine Learning Toolkit Adds Experiment Management Interface and New Algorithms for Pattern Prediction

Splunk is also announcing a new Experiment Management Interface for its Machine Learning Toolkit (MLTK). This interface makes it easier to view, control, evaluate and monitor the status of machine learning experiments. The latest Splunk MLTK also includes new algorithms for identifying patterns and determining the best predictors for training machine learning models.

“Hyatt uses machine learning in Splunk Enterprise to predict when and where we should act fast or plan differently to best serve our customers,” said Cesar Mendoza, application development manager, strategic systems and innovation, Hyatt. “We used the free Splunk Machine Learning Toolkit to benchmark typical Wi-Fi usage from customers across hotel sites, and used that baseline to spot low traffic. We immediately contacted our wireless service provider to correct connection issues before our customers had to call us. We’re using artificial intelligence through Splunk to more proactively serve our customers in this way every day.”

Splunk IT Service Intelligence (ITSI) Predicts Outages and Service Health and Splunk User Behavior Analytics (UBA) Accelerates Threat Identification via Machine Learning

In the latest release of monitoring and analytics solution Splunk ITSI, customers can leverage AI to help predict imminent outages and how their service health could be impacted by these outages before they occur, reducing the risk of negative impact to end-customer experience and revenue. Splunk ITSI also applies machine learning to help reduce event noise and automatically identify the events that are most business critical, so that customers can resolve those first. Similarly, the Splunk UBA updates include new machine learning models and enhancements to existing models to help customers identify and address time-sensitive security problems and insider threats more quickly.

Prescriptive Solutions Help Customers Solve Unique Challenges

New solutions focused on the IoT and other use cases are helping Splunk customers solve defined challenges. Splunk recently announced the limited availability release of Splunk Industrial Asset Intelligence, which helps manufacturers monitor and analyze industrial IoT data in real time.

Continuing this prescriptive approach, the Splunk Essentials series are free, easy-to-install applications that show users exactly how to use Splunk Enterprise and Splunk Cloud to address mission critical use cases. Splunk Security Essentials covers use cases such as brute force detection, malware and General Data Protection Regulation (GDPR) compliance while Splunk Security Essentials for Fraud Detection covers use cases such as healthcare insurance billing and wire transfer fraud. Both applications and forthcoming Splunk Essentials are available for free at https://splunkbase.splunk.com/.

Splunk Brings Industrial IoT Data to Life with Splunk Industrial Asset Intelligence

Transform Industrial Operations with Real-Time Monitoring and Predictive Analytics

SAN FRANCISCO – April 10, 2018 – Splunk Inc. (NASDAQ: SPLK), first in delivering “aha” moments from machine data, today announced the limited availability of Splunk Industrial Asset Intelligence (IAI), its first Internet of Things (IoT) solution. Splunk® IAI helps organizations in manufacturing, oil and gas, transportation, energy and utilities monitor and analyze industrial IoT data in real time to create a simple view of complex industrial systems while helping to minimize asset downtime.

Around the world, manufacturers are increasingly looking to their IoT data to better monitor and diagnose operational issues and predict maintenance needs. In fact, by 2025, more than a quarter of data created in the global datasphere will be real time in nature, and real-time IoT data will make up more than 95% of this. 1

With this rapid increase in IoT data, industrial engineers and analysts are often overwhelmed with the sheer volume of machine data that is generated today by disparate industrial control systems and sensors. Splunk IAI offers a packaged set of capabilities that helps customers pivot their operational strategy from reactive to proactive.

“Real-time analytics is an absolute must for manufacturers today, but organizations are struggling to bridge the gap between legacy systems, industrial assets and sensor data,” said Ammar Maraqa, senior vice president, business operations and strategy and general manager of IoT Markets, Splunk. “Splunk IAI provides a single solution that helps ensure industrial systems are running at full capacity, enabling organizations to significantly save resources and money on unplanned downtime.”

“For years, Splunk has provided their customers with valuable answers from their IT and security machine data. Now, the massive growth of IoT data has the industrial world demanding a solution that can help them proactively take action on their data as well,” said Dr. Ulrich Bock, director, rail and industry consulting, ESE GmbH. “As a Splunk partner, we look forward to helping our customers turn IoT data into answers to further fuel their business.”

Built on top of Splunk® Enterprise, Splunk IAI enables capture and correlation of data from Industrial Control Systems (ICS), sensors, SCADA systems and applications, making it easy to monitor and diagnose equipment and operational issues in real time. This data-driven approach to industrial operations enables customers to respond to issues faster without affecting production, where unplanned downtime can equate to millions of dollars in lost revenue.

1IDC White Paper, sponsored by Seagate, Data Age 2025, April 2017

“Working with Splunk Industrial Asset Intelligence has helped us significantly reduce the time spent on troubleshooting equipment issues,” said Ricardo Bicudo, vessel performance manager, Sapura Navegacao Maritima. “This is a key factor for our company strengthening our safety and operational standards.”

“The packaged set of capabilities provided by Splunk Industrial Asset Intelligence easily integrates with our existing Splunk platform,” said Erika Swartz, senior process engineer, fibers division, Shaw Industries. “Access to real-time and predictive insights is critical for identifying and diagnosing issues, as well as improving performance of our manufacturing processes.”

A limited availability release of Splunk IAI will be introduced on April 23, 2018 at leading industrial conference Hannover Messe, with general availability for all Splunk customers this fall. To sign up for the limited availability release of Splunk Industrial Asset Intelligence, visit the Splunk website.

Splunk Closes Acquisition of Phantom

Acquisition of Security Orchestration, Automation and Response Leader Propels Analytics-Driven Security and IT

SAN FRANCISCO – April 9, 2018 – Splunk Inc. (NASDAQ: SPLK), first in delivering “aha” moments from machine data, today announced that it has closed the acquisition of Phantom Cyber Corporation, a leader in Security Orchestration, Automation and Response (SOAR). Phantom’s SOAR platform helps organizations improve the efficiency of their Security Operations Center (SOC) by automating tasks, orchestrating workflows, improving collaboration and enabling incident response at machine speed. For more information, visit the Phantom website to register and download Phantom Community edition for free.

The aggregate purchase price for the transaction was approximately $350 million, excluding working capital and other adjustments, paid in cash and restricted common stock.

“Today marks an exciting new era for Splunk and Phantom customers, partners and employees,” said Doug Merritt, President and CEO, Splunk. “The combination of Splunk’s machine data platform with Phantom’s SOAR technology will accelerate a new age of analytics-driven security and expand Splunk’s vision as the security nerve center for SOCs around the world.”

Automation and orchestration are integral parts of security customers’ SOC strategies to accelerate incident response while addressing the security skills shortage. Phantom’s SOAR platform offers automation capabilities that will also assist IT teams in solving challenges in a widening range of use cases, including Artificial Intelligence for IT Operations (AIOps).

For more information about Splunk and Phantom, visit the Splunk website.

Safe Harbor Statement

This press release contains forward-looking statements that involve risks and uncertainties, including statements regarding the expected benefits of the acquisition of Phantom, the impact of the acquisition on Splunk’s products and services, the capabilities of Phantom’s products and services and the expected benefits of the combined offerings. There are a significant number of factors that could cause actual results to differ materially from statements made in this press release, including: difficulties encountered in integrating the business, technologies, personnel and operations; costs related to the acquisition and integration; market acceptance of the acquisition and resulting products and services; Splunk’s inability to realize value from its significant investments in its business, including product and service innovations; and general market, political, economic and business conditions.

Additional information on potential factors that could affect Splunk’s financial results is included in the company’s Annual Report on Form 10-K for the fiscal year ended January 31, 2018, which is on file with the U.S. Securities and Exchange Commission. Splunk does not assume any obligation to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.