Zero trust medical device security

Trusted by 1 in 5 hospitals, only IoT Security 2.0 uses machine learning in combination with crowdsourced telemetry and device-specific contextual data, like MDS2 information, to quickly and accurately discover all devices, assess risk, detect anomalies and recommend zero trust policies for enforcement.

Connected medical devices pose a growing security risk

IoMT makes up more than 50% of devices connected to healthcare enterprise networks. According to the Gartner® Machina database, there will be over 1.3 billion connected medical devices by 2030. These critical devices often ship with vulnerabilities, run unsupported operating systems and lack encryption, posing a rapidly growing security risk to providers and patients.
WHY IT MATTERS

You can’t secure what you can’t see

With half of all connected medical devices in healthcare organizations unmanaged, device security has become the weakest link. Internet of Medical Things (IoMT) devices have a remarkably low barrier to entry, so it’s no surprise that attackers are able to exploit inherent vulnerabilities in these unmanaged endpoints. To help you find a comprehensive, end-to-end security strategy, we’ve identified six essential steps to protect every medical device in your network.
IOMT SECURITY CHALLENGES

Threats are outpacing your ability to stop them

Digital transformation in healthcare is driving the growth and the diversity of connected medical devices, resulting in higher network traffic and increased attack surface. Most healthcare providers don’t have accurate inventories of the devices in the enterprise and existing security solutions rely on outdated signature-based discovery methods.
How we can help you

Our approach to medical device security



Accurately discover all devices

BENEFIT

Accurately discover all devices

Use machine learning with our leading App-ID™ technology and crowdsourced telemetry to profile all devices for continuous discovery, risk assessment, anomaly detection and operational insights.


Secure against the threats you don’t see coming

BENEFIT

Secure against the threats you don’t see coming

Instead of an alert-based approach, IoT Security analyzes device type and behavior to assess risk and proactively prevent known and unknown threats. Only IoT Security uses machine learning with crowdsourced telemetry to quickly and accurately discover all devices, gain operational insights, assess risk, detect anomalies and recommend trust-based policies for enforcement.


Automate Zero Trust policies and enforcement

BENEFIT

Automate Zero Trust policies and enforcement

Replace time-consuming manual processes with automated Zero Trust policy recommendations and enforcement for all your connected medical devices, using extensive, continually updated and crowdsourced data for thousands of IoT devices together with an analysis of your own network and devices.


Optimize resources and patient experience

BENEFIT

Optimize resources and patient experience

Improve patient experience and operations with vendor-agnostic business and clinical intelligence, helping you organize and optimize expensive resources through automated analysis of device usage, scanning activity, operating hours, device comparisons and more.


Simplify your security operations

BENEFIT

Simplify your security operations

Eliminate device blind spots and fortify your existing IT and security workflows with additional IoMT and IoT device insights delivered through playbook-driven, built-in integrations. Our simplified sensor-less deployment and workflow automation enable you to accurately onboard IoT and clinical devices, enhance investigations, and enforce network controls.


Bay Care
BearValley

Healthcare Customers

BayCare Health

BayCare monitors all IoT and IoMT devices with new insight on medical device usage for utilization analytics reporting.

“Within hours we identified thousands of devices, allowing us to implement preventive measures on activities not visible before.”

Manager, Medical Device Integration & Security, BayCare

Read the case study
Healthcare Customers
Bay Care

BayCare monitors all IoT and IoMT devices with new insight on medical device usage for utilization analytics reporting.

“Within hours we identified thousands of devices, allowing us to implement preventive measures on activities not visible before.”

Manager, Medical Device Integration & Security, BayCare

BearValley

IoT Security identifies each medical and IoT device and its network location, giving Bear Valley decisive and automatic protection against emerging security risks.

“We found between 10 and 15 percent more network connected devices than we expected. It was a very eye-opening experience.”

IT Director, Bear Valley

Meet with us

Meet with us

Contact our team of healthcare cybersecurity experts today. We want to meet with you to help secure your connected medical devices.

Please complete reCAPTCHA to enable form submission.
By submitting this form, you agree to our Terms. View our Privacy Statement.