Great Bay Software debuts network intelligence platform to improve visibility into IoT, medical devices on hospital networks

Great Bay Software announced on Tuesday launch of its new platform to deliver enhanced visibility into IoT and medical devices on hospital networks. Building upon its ability to providing network visibility to enterprise customers, Great Bay Software releases its sixth-generation product to address the security and operational challenges associated with IoT adoption.

These new device types also create operational challenges that drain efficiency and hurt a hospital’s bottom line. Without the ability to automatically inventory the number and types of devices connected to the network, healthcare providers are overspending by purchasing unnecessary devices and are being charged by third-party management vendors for medical devices they do not actually own.

In response, hospitals are dedicating as many as three Full Time Equivalents (FTEs) to the process of manually inventorying assets. These challenges are intensified during hospital mergers and acquisitions, when healthcare providers must inventory and onboard newly acquired devices within a short timeframe.

Among those challenges is the lack of visibility into managed and unmanaged devices on the network—limiting IT and security’s ability to determine device identity and connectivity, where they are located and how they are behaving.

The sixth-generation of the Great Bay Software product delivers critical IoT visibility and enforcement functionality, including real-time ability to discover, profile and locate all managed, unmanaged, authorized and unauthorized devices connected to wired and wireless networks; unmatched data collection techniques to gather identity and behavioral attributes and use that contextual insight to establish and validate device trust; and expanded pre-built device profiles and enhanced profile import and export capabilities that enable organizations to identify and profile connected devices to the network, automatically and in real time.

It also involves implementation of an artificial intelligence and machine learning engine to provide advanced real-time behavior analytics for all connected devices with simple, “drag-and-drop” file functionality that is user-friendly, allows for generic data import and enables seamless bi-directional data sharing between Great Bay and other IT and security ecosystem technologies. It also offers customized dashboard with expanded set of executive reporting capabilities, and expanded network infrastructure and support for data collection sources.

“We’ve been working closely with leading hospital systems to understand the unique challenges they are experiencing from their connected medical devices,” said Jim Scullion, CEO of Great Bay Software. “There’s incredible urgency to address these issues quickly in order to ensure continuity of patient care, the privacy of patient information and the reputation of the organization. We are excited to partner with healthcare organizations to deliver real-time visibility, monitoring and behavior analytics capabilities they need to secure data, preserve customer trust and achieve the full revenue potential of their IoT adoption.”

“Now more than ever, as an increasing number of IoT and medical devices are no longer associated with a single user and cannot be managed by traditional security software, organizations are struggling to establish device trust and prevent unauthorized devices from gaining network access. For healthcare providers, this lack of visibility and control exposes them to cyberattacks that could jeopardize patient safety and continuity of care,” said Dino Balafas, VP of Product Management at Great Bay Software.

 


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