Nozomi Updates SCADAguardian

Wednesday, March 22, 2017 @ 12:03 PM gHale


Nozomi Networks’ SCADAguardian solution architecture.

Nozomi Networks Inc. issued its latest release of SCADAguardian, a cybersecurity risk detection solution.

The release supports operational visibility and ICS cybersecurity with new modules for Asset Management and Vulnerability Assessment.

It also introduces Dynamic Learning for configuration-free deployments. This gives energy utilities, oil and gas operators and manufacturers a solution to monitor control networks for cybersecurity and operational anomalies.

“At Vermont Electric our mission is to provide safe, affordable, and reliable energy services to our members,” said Kris Smith, SCADA and operations engineering manager. “In order to do that, we need both operational visibility and cybersecurity protection for our critical operations systems.”

“Our customers love the way SCADAguardian uses AI (artificial intelligence) and machine learning to deliver effective ICS cybersecurity and anomaly detection,” said Nozomi Networks co-founder and chief product officer, Andrea Carcano. “But, similar to the needs at Vermont Electric, many were asking if we could leverage that functionality to help streamline operational tasks. That’s why we are offering new modules that simplify operations and ultimately improve operational visibility and monitoring for stronger cyber resilience and ICS reliability.”

For industrial operators, tracking assets and knowing their configuration and firmware versions, as well as other attributes, is often a lengthy manual process prone to human error and hard to keep up-to-date. SCADAguardian 17.0 automates asset tracking, keeps information current, and makes it easy to visualize, find and drill down on asset information such as software and hardware versions. Alerts, consolidated into context-aware incidents, notify operators of changes that may indicate a cybersecurity or operational incident.

In addition, the release makes it possible for operators to stay on top of device vulnerabilities, updates and patch requirements. By constantly analyzing industrial network assets against a state-of-the-art repository of ICS vulnerabilities, SCADAguardian saves time and improves cyber resiliency.

When it comes to comprehensive ICS modeling, the new release supports AI and machine learning. Until now, operators had to perform a configuration step in order to switch the system from learning to protection mode. Now learning granularity has increased, so learning, and the switch to protection now happen automatically per node and per network segment. Stable network nodes and segments become protected automatically.



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