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ShieldIOT Network Security
The ShieldIOT AI-based network anomaly detection solution analyzes device communications to identify the first signs of cyber-attacks and operational anomalies. Deployed at the IoT network operator / service provider cloud, the agent-less solution is highly scalable, protecting massive multi-application IoT networks against various threats including DDoS, unknown malware, ransomware, communication hijacking, node takeover and replication, replay attacks, data falsification and many more.
Features:
- Unmatched Accuracy. ShieldIOT Corset-based AI anomaly detection is x5 to x20 more accurate compared to leading industry solutions
- Real-Time Detection. From one week to one minute. No speed or accuracy trade-offs. Detect the first signs of attack before damage takes place.
- Actionable Alerts. Attack type, duration, affected devices, score, severity, trigger features… Enabling automated or non-expert threat mitigation
- Unlimited Scalabilty. Transforms huge volumes of big data into small data sets. Agent-less solution with no device or network changes
- Data Processing. Data filtering, null completion, data sources joining, data enrichment, feature engineering
- AI Engine. Coreset computing to reduce the data, followed by running a set of AI and machine learning detection models.
- Anomaly Classification. Automatically generate event type, by combining patented labeling process with domain expertise
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