Case studies

AI Solution for Cybersecurity in Connected Vehicles

Year of implementation

2021

Industry

Automotive

Global leading company specializing in supplying quality components and advanced technological solutions for the automotive industry.

Approach and methodology

We developed an AI-driven security system using machine learning to monitor and protect connected vehicle communications. The solution analyzes data traffic, detects anomalies, implements encryption, and integrates with OTA updates, ensuring continuous protection against cyber threats in automotive systems.

Staff involved in the project

4 Specialists

Execution time

6 Months

Technologies used

Apache Kafka
Elasticsearch
gRPC
ONNX
Scikit-learn
Snort

sec

Average time to detect an attack

Average policy update time

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