AnCyR™
Anomaly Detection and Cyber Resilience
Host-based Intrusion Detection and Response for Automotive ECUs
Host-Based Software Anomaly Detection Technology
AnCyR is a patent-pending technology that is the first host-based anomaly detection optimized for automotive ECU intrusion detection (IDS) cybersecurity. AnCyR is based on five years of research at the University of Arizona with support from the National Science Foundation. AnCyR’s anomaly detection technology combines statistical, probabilistic, and machine learning algorithms to accurately detect attacks with best-in-class false positives, latency, and overhead.
AnCyR can be Broadly Deployed
Host-Based
Detection
- Runs on ECU for rapid detection
- No dependencies with other ECUs or cloud-based analysis
Accurate Detection including Zero-Day Attacks
- Detects changes in software operation caused by zero-day attacks
- Attacks detected including buffer overflows, code injection, ROP, and more
Platform
Agnostic
- AnCyR can be compiled to any processor platform
- Scalable from microcontrollers to multicore processors
- Cloud and Vehicle Security Operations Center (VSOC) agnostic
Low Latency and Overhead
- Detects attacks in real-time in milliseconds
- Optimized for ECUs and has low memory and performance overhead
Best-In-Class Detection Accuracy
AnCyR monitors software subcomponents using a synergistic combination of statistical, probabilistic, and machine learning algorithms to achieve high attack detection with best-in-class false positives.
Cybersecurity Runtime Awareness Recommended by UNECE R155
UNECE WP.29 R155 regulation for cybersecurity in vehicles recommends runtime awareness to detect cyberattacks and intrusions
Strengthen your ISO/SAE 21434 cybersecurity management system with runtime cybersecurity monitoring
Contact us for a demonstration of AnCyR.
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