
AI Engineer for Automotive Cybersecurity
About Our Engineers
This AI expert specializes in automotive cybersecurity, leveraging AI-driven threat detection, anomaly detection, and predictive security to protect connected cars, autonomous vehicles, and in-vehicle networks. They work with intrusion detection systems (IDS), cryptographic security, and AI-based attack prevention to safeguard vehicles from cyber threats. They think and work like founders, ensuring real-world impact and security at scale.
Key Expertise & Skills
AI-Based Threat Detection
Anomaly Detection
Intrusion Detection Systems (IDS)
Vehicle Security Operations
Predictive Cybersecurity
Cryptographic Security
Secure OTA Updates
AI for Network Security
Secure Vehicle-to-Everything (V2X)
AI-Based Attack Prevention
Technologies & Tools
Python
TensorFlow
PyTorch
OpenAI
Google Cloud AI
AWS Security Hub
C++
ROS
Automotive Grade Linux
CAN Bus Security
Secure Boot
Blockchain for Automotive Security
Projects Our Engineers Have Worked On
- AI-Powered Intrusion Detection for Connected Vehicles – Built an AI-driven IDS system that detects anomalies in vehicle communication networks, reducing cyber threats by 60%.
Automated AI-Based Threat Analysis – Developed a machine learning model that predicts and prevents cyberattacks in real-time, enhancing automotive cybersecurity by 40%.
Secure Over-the-Air (OTA) Update System – Designed a cryptographic AI-powered OTA update process, ensuring safe firmware updates for 100,000+ vehicles.
AI-Enhanced V2X Security Protocols – Engineered AI-driven encryption and anomaly detection for Vehicle-to-Everything (V2X) communication, strengthening security in smart cities.
Blockchain-Integrated Vehicle Security – Implemented a blockchain-based authentication system for connected vehicles, preventing unauthorized access and fraud.
Who Should Hire This Engineer?
Automotive OEMs & Tier 1 Suppliers
Autonomous Vehicle Companies
Connected Car Startups
EV Manufacturers
Smart Mobility & Fleet Security Firms