Protecting IoT devices requires a different approach than that of traditional IT security. The AI-powered Zingbox solution uses behavioral analysis to establish a baseline for typical behavior and draws on the behaviors of thousands of devices from its IoT behavioral repository to automatically identify and classify connected devices. It not only provides comprehensive risk assessment, but also alerts you to any device acting outside of its normal activity. You can quickly locate and quarantine a device acting suspiciously or violating policy. Features:

• Patented machine learning algorithm

 

• Industry’s largest IoT behavioral repository

 

• Context-aware microsegmentation

 

• Zero-trust policies

 

You can also create Zero Trust policies for groups of devices and get recommendations for compensating controls. With the largest IoT behavioral repository in the IoT security industry today, Zingbox builds on petabytes of daily IoT data gleaned from thousands of anonymized device profiles, risk indicators, and attack vectors shared across customers to provide real-time risk and vulnerability assessment. It can also alert customers to product recalls that pose a serious security risk if not immediately addressed. Key Benefits:

• Context-aware network segmentation to reduce threat exposure
• Real-time risk and vulnerability assessment to ensure business continuity
• Defends IoT services, not just IoT data, from cyber and insider threats
• Maintains audit trail to make compliance reporting easy

Zingbox allows you to proactively strengthen your security posture by using microsegmentation. You can define security groups using IoT device context information and organize assets dynamically into context-aware micro-segments.