THE OBSERVABILITY PLATFORM FOR ONBOARD OPERATIONAL TECHNOLOGY

Enable smarter, faster decisions through real-time data access, contextual insights, and actionable analytics at the edge.

How It Works

Critical defense and transportation fleets generate massive volumes of data that can be used to improve security, availability, safety, resilience, and reliability, but today this data cannot be accessed, analyzed, or actioned.

Shift5 unlocks the complete ecosystem of onboard data for operations, maintenance, and cybersecurity teams for the first time, enabling real-time decision intelligence through complete onboard data access and observability from the asset level to fleet scale.

Our platform is hardware, bus, and protocol agnostic and is designed to perform passive, full-take data capture from any onboard source — every frame, every bus, every protocol.

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ON VEHICLE

Capture all data

Onboard data traverses serial bus networks that often rely on embedded protocols. Shift5 captures all data crossing onboard serial bus networks and detects anomalies in real-time, directly on the vehicle.

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ON VEHICLE

Detect Anomalies

Shift5 combines rules-based detection for known attacks with advanced machine learning and analytics-based methods to find anomalies that do not contain a specific fingerprint. This means the Shift5 technology can detect anomalies that have never been seen before. Shift5 further increases detection rates by continually writing signatures and rules for observed anomalies. The more data Shift5 collects, the better the insights it can generate.

view-data
OFF VEHICLE

View Centralized Fleet Data

Data collected from vehicles across the fleet is centralized on-prem or in a public, private, or government cloud for analysis. This analysis can support threat hunting, operational efficiency, or incident response use cases and provide crew and maintenance with essential situational awareness.

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OFF VEHICLE

Hunt Threats and Identify Suspicious Behaviors

Armed with large amounts of vehicle data collected over time, researchers can model, test, and proactively hunt for anomalies to find out if they were caused by maintenance issues, operational error, or cyber attack.

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OFF VEHICLE

Create New Intelligence and Push to Fleet

Intelligence created through analysis of the aggregated fleet data is used to update rules, which are then fed back to the vehicles so anomaly detection is continuously improved.

Still curious?

Schedule some time to talk, or let us know if you would like to receive more information. Secure briefings are also available for those with appropriate security clearance.