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ARGUS FLEET protection is AN AUTOMOTIVE SECURITY INFORMATION AND EVENT MANAGEMENT (SIEM) BUILT FROM THE GROUND UP TO ADDRESS AUTOMOTIVE CYBER SECURITY CHALLENGES. the automotive domain presents more varied threat models, monitoring and remedy constraints, privacy considerations, and government regulations, than traditional it security.
 
argus fleet protection distills knowledge from dozens of automotive in-vehicle cyber research projects to provide OEMs AND FLEET MANAGERS WITH ACTIONABLE ALERTS AND INVESTIGATION TOOLS TO FACILITATE RAPID INCIDENT MANAGEMENT.
 
arGUS FLEET PROTECTION WORKS WITH OR WITHOUT CYBER SECURITY SOLUTIONS INSTALLED IN THE VEHICLE.

KEY BENEFITS

DETECTS ATTACKS UNIQUE TO THE AUTOMOTIVE ECOSYSTEM

By gathering data from a carefully selected range of sources across the complete automotive ecosystem, OEMs and fleet managers receive automotive-focused alerts, such as identification of attacks originating from compromised servers and mobile applications. 

IDENTIFIES KNOWN AND UNKNOWN ATTACKS

A combination of big data analysis engines work together to provide the highest detection rates over the short and long term.

Together the engines provide insights into a broad spectrum of potential attack scenarios:

 

  • Rule-based engines provide alerts on attacks that we can anticipate based on Argus’ vast automotive cyber research. Rules can be continuously created and updated by security analysts in order to detect specific signs of malicious activity. For example, a rule can be created to identify deviations from expected vehicle communications with an OEM server – such as an unusual number of requests.
  • Machine learning engines use dedicated algorithms, statistical models and natural language processing techniques to uncover unknown attacks that are almost impossible to anticipate in a dynamic cyber landscape. For example anomalies in sequences of logs that may indicate manipulation of the server’s logic.

INCREASES OPERATIONAL EFFICIENCIES

One unified desktop enables security analysts to grasp the cyber health of the fleet at a glance. By leveraging knowledge gained from dozens of automotive cyber research projects, each alert is analyzed according to its potential impact and prioritized accordingly. As a result, only events that require attention are pushed to the security analysts, enabling them to focus on what matters most.

REDUCES TIME TO MITIGATION

By providing full visibility across the fleet and dedicated automotive investigation and forensic tools in a single solution, security personnel can view the most important alerts and immediately deep dive into the data to identify the root cause of the attack, even those in the research stage.

PROTECTS EVEN THE LARGEST FLEETS

Every year OEMs sell millions of vehicles, each with an average lifespan of eleven to twelve years. As a result, the number of OEM vehicles on the road will out-number the average number of assets in a large corporate IT network. Designed to scale, Argus Fleet Protection runs on the most advanced, robust and resilient big data technologies to seamlessly support even the largest fleets.

Argus Fleet Protection Dashboard

Identifying and Investigating Attacks with Argus Fleet Protection

DEPLOYMENT SCENARIOS

STAND-ALONE - ON PREMISE OR IN THE CLOUD

Argus Fleet Protection works independently to provide OEMs and fleet managers the ability to know if they are hacked and the tools to perform deep analysis of each event.

Integrated into a Managed Security Service Provider (MSSP) solution

Argus Fleet Protection integrates with existing MSSP Security Operation Center Solutions (SOCs) to provide a complete Automotive Security Operations Center (ASOC):

 

  • Sends alerts directly to the MSSP SOC for further investigation or immediate action
  • Solution available with leading managed security service providers such as Ericsson, Singtel, and T-Systems.
Contact Us

For a sense of how easy it will be to put ARGUS IPS solutions in your current and future production-line and hearing more about our unique technology, please fill in the form below.