Extreme Networks grows networked IoT security protection

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Extreme Networks has taken the wraps off a new security application it says will use machine learning and artificial intelligence to help customers effectively monitor, detect and automatically remediate security issues with networked Internet of Things (IoT) devices.

The application – ExtremeAI security – features machine-learning technology that can understand typical behaviour of IoT devices and automatically trigger alerts when endpoints act in unusual or unexpected ways, Extreme said.

Extreme said that the ExtremeAI Security application can tie into all leading threat intelligence feeds, and had close integration with its existing Extreme Workflow Composer to enable automatic threat mitigation and remediation.

The application integrates the company’s ExtremeAnalytics application which lets customers view threats by severity, category, high-risk endpoints and geography.

An automated ticketing feature integrates with variety of popular IT tools such as Slack, Jira, and ServiceNow, and the application interoperates with many popular security tools, including existing network taps, the vendor stated.

There has been an explosion of new endpoints ranging from million-dollar smart MRI machines to five-dollar sensors, which creates a complex and difficult job for network and security administrators, said Abby Strong, vice president of product marketing for Extreme.

“We need smarter, secure and more self-healing networks especially where IT cybersecurity resources are stretched to the limit.”