Securing the Internet of Medical Things

Built on healthcare-driven behavior analysis, Cynerio’s technology provides ongoing visibility into all clinical assets on the IT network, continuously assesses the risk associated to their behaviour, accurately detects anomalies with medical context consideration and stops malicious threats to ensure patient safety and data protection.

Cynerio Secures $7 Million Seed Round Funding to Drive US Market Development

New York, January 9, 2019 – Cynerio today announced the completion of its $7 million funding round to fuel growth in North America for its 100% healthcare focused cyber security platform. Investors include global VCs, Accelmed, a leading investment firm focused on...

Medical device risk mitigation is perhaps the most pressing issue for healthcare CIOs

Hackers see hospitals as treasure troves; they hold our most sensitive data, including medical records, financial information, and pretty much every piece of personal data which makes us distinguishable as an individual (think full name, date of birth, SSN’s and...

Cynerio Welcomes Dr John Halamka as Advisor

Harvard's International Healthcare Innovation Professor & Chief information Officer at Beth Israel Deaconess Medical Center Joins Cynerio in an Advisory Capacity TEL AVIV, October 15, 2018 – Cynerio today announced that Dr. John Halamka, Harvard's International...

The Problem

The healthcare industry is on a journey to become connected. The rapid introduction of connected medical devices creates new opportunities for better patient care, but also introduces new challenges for securing the growing clinical ecosystem. Attackers, see medical devices are easy targets as these devices weren’t built with security in mind. Healthcare’s security teams have limited ability to protect these devices with traditional security solutions that are more focused on standard IT platforms.

The Solution

Cynerio’s tailor made solution for healthcare providers uses industry’s 1st technology which combines device behavior learning with medical workflow analysis to provide full visibility into medical device behavior and activity on the network, detect anomalies and stop the threat to ensure patient safety and data protection.


Full visibility of what devices are doing on the network & associated risk, continuous & automated device discovery and classification


Accurate real time anomaly detection with medical context consideration


Stopping malicious communications, without disrupting device operation to ensure patient safety & data protection


Secure healthcare’s weakest link – the connected medical device ecosystem
Ensure patient safety and data protection
Gain full visibility into devices on the network and their behavior
Forward looking regulatory compliance

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