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Great Bay Software Expands Upon Unmatched Endpoint Visibility and Delivers Better Usability for Teams Challenged with Detecting and Securing IoT and Medical Devices on the Network

Delivers expanded, deeper device profiling functionality and a rearchitected user experience to ultimately speed incident response and reduce remediation timelines

Great Bay Software, Inc. Logo (PRNewsfoto/Great Bay Software, Inc.)

News provided by

Great Bay Software

Sep 12, 2018, 07:00 ET

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MINNEAPOLIS, Sept. 12, 2018 /PRNewswire/ -- Great Bay Software, a leader in Internet of Things (IoT) security and operational efficiency, today announced the version 6.1 release of its Network Intelligence Platform, which delivers unmatched endpoint visibility, real-time device validation and flexible enforcement options. The new functionalities introduced in version 6.1 empower Security, IT and Clinical Engineering teams to better understand the types of endpoints connecting to the network, their location and behavior—knowledge that is critical when responding to a security event.

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Great Bay Software's latest release delivers unmatched endpoint visibility and better usability for teams tasked with detecting and securing IoT and medical devices on the network.
Great Bay Software's latest release delivers unmatched endpoint visibility and better usability for teams tasked with detecting and securing IoT and medical devices on the network.

On average, organizations take 191 days to identify and 66 days to contain a security incident.1 And when the mean time to identify (MTTI) is greater than 100 days, the average cost to identify a breach is $8.7 million. It's clear that being able to speed incident response and reduce remediation timelines has a direct impact on the bottom line, which is why Security and IT teams require a solution that can detect potential threats in progress and respond in a flexible and timely manner.

Anomalous device behavior can be an early indicator that a potential security threat is in progress. But in order to identify anomalous behaviors, organizations must have a real-time understanding of the types of devices connecting to the network and their typical behaviors. In fact, the Center for Internet Security recommends maintaining an up-to-date inventory and control of all hardware assets as the first step in defending against known cyberattack vectors. However, this can be a challenging task. "Many IoT endpoints, such as medical devices, printers and security cameras, are not associated with a single user and cannot be managed by traditional security software, which makes these devices difficult to detect and secure on the network," states Dino Balafas, VP of Marketing and Product Management. "For industries such as Healthcare, these device types often expose the organization to cyberattacks that could jeopardize patient safety and continuity of care." This is why many organizations are turning to Great Bay Software to understand what's connecting to the network, where those devices are located and any devices exhibiting risky behaviors—and in real time, so that automated, remediation protocols can be initiated if and when a security event is detected.

"In continuation with the functionality promised in our sixth-generation product suite, we've been partnering closely with the Security, IT and Clinical Engineering teams at leading hospitals and healthcare systems to better understand what information they need to do their jobs and how we can make it easier and faster for them to find that information," said Abed Lawabni, VP of Product Engineering at Great Bay Software. "We've learned that many HDOs simply need an easy way to maintain accurate inventories of all network assets because this is often a manual, time-intensive task that is required for adherence to compliance regulations. Our platform automates this functionality and presents the real-time, asset inventory in a clear, visual manner on the main dashboard. Teams can customize the dashboard to provide additional insights into what device types are on the network, where they are physically located and if they are exhibiting any anomalous behaviors, which could indicate a security event in progress."

Holistically, version 6.1 of the Great Bay Network Intelligence Platform™ delivers better usability, comprehensive endpoint profiling and additional platform enhancements, including:

  • New and expanded pre-built endpoint profiles for IoT and medical devices so Security, IT and Clinical Engineering teams can easily maintain automated, accurate asset inventories because more of these device types are automatically discovered, profiled and secured
  • A redesigned, customizable user interface with improved navigation and intuitive, connected workflows that makes it easier to find information, report on events and high-risk endpoints and reduces clicks to remediation
  • A new framework for crowdsourcing anonymized, endpoint data to further enrich and expand device profiles so IT, Security and Clinical Engineering teams can discover, identify and validate all endpoints—even unmanaged and unauthorized devices connecting to the network, including traditional, IoT and medical devices
  • Platform enhancements including new and full support for data collection via the Cisco Device Sensor and sFlow so teams have the option of leveraging additional data sources to further enrich device profiles and provide deeper behavior analytics for network-connected devices

To learn more, visit www.greatbaysoftware.com or register to attend a live demo of version 6.1 of the Great Bay Network Intelligence Platform™ on September 26 at 11 AM CT.

About Great Bay Software

Great Bay Software is an IoT security and operational efficiency leader providing comprehensive visibility and control over endpoints on the network so organizations can secure data, preserve customer trust and protect revenue. By delivering real-time insight into device identity, location and behavior, Great Bay helps organizations identify and respond to potential threats and improve operational efficiency, all while supporting millions of connected devices. For more information, visit: http://www.greatbaysoftware.com/.

1 Ponemon Institute's 2017 Cost of a Data Breach Study

SOURCE Great Bay Software

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