PlaxidityX

PlaxidityX leverages vehicle-centric, pre-configured detection rules combined with an advanced AI correlation engine to identify true positives and generate high-fidelity alerts. The platform analyzes in-vehicle messages and telemetry data to surface potential threats accurately, helping organizations prioritize responses and maintain robust vehicle cybersecurity across their fleets.

The platform provides a robust pipeline that ingests, parses, filters, normalizes, and enriches telemetry from in-vehicle sensors, third-party agents, and logs. By creating a unified, clean database, PlaxidityX enables precise analysis, actionable insights, and consistent monitoring across diverse data sources, supporting informed decisions and stronger fleet security.

PlaxidityX generates data-driven insights and tuning recommendations that feed back to in-vehicle agents. This iterative cycle continuously improves detection accuracy, strengthens vehicle defenses, and reduces operational costs over the fleet lifecycle. The platform’s adaptive learning ensures ongoing optimization of cybersecurity performance as threats evolve.

The software detects malicious Controller Area Network (CAN) messages sent by hacking devices in under 200 milliseconds with zero false positives. By providing immediate alerting and analysis, PlaxidityX helps automotive teams respond instantly to potential attacks, maintain system integrity, and prevent unauthorized access or disruption in connected vehicle networks.

PlaxidityX immediately triggers a prevention action once a malicious message is identified. The platform actively protects vehicles from keyless entry exploits and other intrusion attempts, enabling organizations to safeguard their fleets. This feature enhances operational security and ensures proactive defense against unauthorized access.