Your mission is our mission
Cylera exists to protect healthcare organizations and their patients from those who wish to do them harm. We take a patient-centric approach to defend and optimize the devices that power modern healthcare environments–from a ventilator helping a patient breathe, to a smart TV comforting a concerned mother in the waiting room, and everything in between.
Our solution was designed from the ground-up to cover the complete connected HIoT environment including medical devices, enterprise IoT, and operational technology.
Cylera’s technology and solution are a result of our company's patient-centric mission. Our focus on clinical context and patient safety makes our solution proactive and results-driven.
Our patent-pending CyberClinical™ technology ensures our solution excels in complex healthcare environments without negatively affecting patients by actively scanning the environment.
Cybersecurity & Intelligence Solution
Cylera’s MedCommand™ solution, powered by Cylera’s CyberClinical™ technology platform,
empowers healthcare providers to protect the safety of their patients, assets, and clinical workflows from cyberattacks. MedCommand™ provides clinical engineering and information security teams with a unified solution to manage and protect the entire connected HIoT environment including
medical devices, enterprise IoT, and operational technology.
Cylera’s AI-driven technology platform is the technical foundation for Cylera’s MedCommand™ Security and Intelligence solution. It was designed and developed for healthcare organizations to ensure safe, secure and reliable operations even in large, multi-site deployments.
Patent-pending technology creates virtual "clones" of each HIoT device by learning how to behave and respond like them
Passive Vulnerability Analysis
Conducts passive vulnerability and configuration analysis using custom and industry-standard probing tools on virtual device clones
CyberClinical™ Risk Analysis
Analyzes and quantifies risk posed to the organization and their patients through analysis of security gaps and clinical workflows
Deep Identity Analysis
Uses Adaptive Deep Packet Inspection and deep learning to fingerprint HIoT devices and the software running on them
Contextual Threat Detection
Uses a multi-layer, AI-based approach to threat detection that considers both device behaviors and clinical context