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CHALLENGE

Preventing Operational Disruption and Downtime

CHALLENGE

Preventing Operational Disruption and Downtime

Keeping People and Packages Moving

The global economy thrives on the seamless movement of people and goods. Individual cargo ships transport 8,000 containers on a single voyage.1 Mass transit systems carry over 53 billion riders each year,2 while over 8.8 billion passengers flow through airports around the world.3

Think about the impact of a system outage or technology glitch on the processing of people and products. Missed connections, delayed baggage, and unsafe environments are just some of the implications.

Unplanned downtime happens for multiple reasons – a device breaks down from operating 24/7, a networking change disturbs an OT system, or a cyber incident halts a critical process.

In transportation and logistics operations where every minute counts, operators can lose valuable time trying to understand and address issues that arise. Imagine the benefits of proactively identifying potential equipment problems and spotting cyber threats before they disrupt operations?

1 “Benefits of Liner Shipping: Efficiency,” World Shipping Council, 2019
2 “This is the world’s business airport,” CNN September 2019

3 “The Global Mass Transit Revolution,” CityLabs, September 2018

THE SOLUTION

Using Anomaly Detection to Identify At-Risk Devices and Processes Before They Fail

The Nozomi Networks solution tackles the risk of transportation and logistics system downtime through passive network monitoring and anomaly detection that alerts you to irregular behavior.

Baselining Variables
In the initial Dynamic Learning™ phase, the solution uses machine learning and artificial intelligence to observe your network traffic and create asset and operational baselines. It models behavior and correlates multiple types of data, including information about similar assets within the system, to determine what normal activity looks like.

Detecting Anomalies
In monitoring phase, the solution automatically detects when a specific device or automated operation is deviating from its baseline, and moving towards a state that could disrupt services. It uses advanced correlation and context to deliver a simple, consolidated view of what’s happening in your networks, and proactively alert you that remediation may be necessary.

Anomaly detection significantly reduces troubleshooting efforts and enables you to take action before a device or automated operation fails.

Unusual device or system behavior could lead to operational disruption and endanger human life.

Prevent Operational Disruption and Downtime

Guardian delivers superior system monitoring and anomaly detection capabilities that help you proactively identify at-risk assets and operations, minimizing disruption.

More Challenges

CHALLENGE 

Gaining Deeper Visibility into Multi-System Operations

Without visibility into all the devices on my OT/IoT networks, it’s hard to monitor how passenger, cargo and other services are operating.

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CHALLENGE

Detecting Malware Before It Impacts Operations

To prevent malware from spreading across my transport & logistics management systems, I need real-time threat and anomaly detection.

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CHALLENGE 

Understanding Where System Vulnerabilities
Lie

Knowing which vendor’s IT, OT and IoT devices are at risk would help me prioritize my security assessment and remediation efforts.

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