AutoVisor SIEM
Security incident & event management system
Vehicle security operational center
User services and interfaces
Aggregation of information about cyber security incidents and their correlation
Ability to upload and study logs for analysis and research of the cybersecurity of the vehicle
Ability to quickly respond to cybersecurity incidents
Meets the requirements of the ISO21434 standard in the section “Continuously cybersecurity activities”
Data Science & Big Data
Data science & automatization
AutoVisor’s signatures database
Infrastructure adapts to Big Data, machine learning, and automation to meet the needs of the customer and end-users
Advanced GPU-based BI solutions that allow you to process and visualize large amounts of data
Machine learning algorithms for automating the work of the infrastructure and its users
Algorithms are based on Python with hot data storage in Redis and cold data storage in Cassandra and Google Big Query
Usage scenario
OEM: based on cluster analysis, determine where and what kind of vulnerabilities may appear in cars, depending on the modification, additional equipment, region of use, mileage, and other parameters
Dealers and manufacturers of security systems: provide connection to SIEM as a service for car owners, together with integration to other security systems
Fleets: analytics, predictive analytics, and monitoring based on vehicle usage (usage type-speed, load, driving style, theft (fuel draining, deviations from routes), planned and unscheduled maintenance, event reconstruction