AutoVisor SIEM

Security incident & event management system

Vehicle security operational center

User services and interfaces
N
Aggregation of information about cyber security incidents and their correlation
N
Ability to upload and study logs for analysis and research of the cybersecurity of the vehicle
N
Ability to quickly respond to cybersecurity incidents
N
Meets the requirements of the ISO21434 standard in the section “Continuously cybersecurity activities”

Data Science & Big Data

Data science & automatization
N
AutoVisor’s signatures database
N
Infrastructure adapts to Big Data, machine learning, and automation to meet the needs of the customer and end-users
N
Advanced GPU-based BI solutions that allow you to process and visualize large amounts of data
N
Machine learning algorithms for automating the work of the infrastructure and its users
N
Algorithms are based on Python with hot data storage in Redis and cold data storage in Cassandra and Google Big Query

Usage scenario

N
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
N
Dealers and manufacturers of security systems: provide connection to SIEM as a service for car owners, together with integration to other security systems
N
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