Argus Fraud Detection identifies fraudulent activity in software-defined vehicles to minimize financial and reputational damages to manufacturers and their suppliers.
By shortening time to detection of fraudulent activity indicators within software-defined, connected vehicles.
Through the combination of use case engineering and machine learning techniques, powered by Argus’ SDV cyber security expertise.
Continuous data monitoring and analysis present a real-time view of current fraud activity levels.
The potential for vehicle related fraud is constantly increasing, with the growth of software-defined vehicles on the road. Using Argus’s advanced algorithms and heuristics, stakeholders can pinpoint suspicious behaviors that point to warranty fraud, petrol theft, identification fraud, car theft and more.
Argus Fraud Detection quickly and accurately alerts stakeholders to potential misuse. The solution’s deep analysis capabilities and embedded fraud playbooks help stakeholders take decisive action before the financial consequences escalate and business performance is affected.
The Argus solution provides fraud detection based on pre-built scenarios and deep understanding of our customers’ needs. Data is ingested and analyzed in real-time to correlate with pre-built rules and investigation scenarios. Real-time alerts and notifications are sent out as needed. Best practices and playbooks are available in order to resolve the detected cases quickly and efficiently.
Argus brings together years of comprehensive expertise in fraud detection, helping manufacturers and service providers understand their fraud risk, signs of misuse, and practical next steps for remediation.
Maximize visibility into the threat landscape by fusing data sources, enriching connected vehicle data, and finding anomalies
Combine machine learning anomaly detection with custom rules for identifying and mitigating specific fraud use cases
Create unique use cases with their own detection logic and response playbooks, based on exploratory data analysis
Monitor CAN network traffic, detect anomalies and the signs of a threat, and prevent major risks including denial-of-service and brute-force attacks.
Add advanced Intrusion Detection and Prevention to Posix-based ECUs to reduce the risk of software-defined vehicles and drive compliance.
Meet regulations and standards like UN R155 and ISO/SAE 21434 with lifecycle vulnerability management that reduces financial, safety, and privacy risk.
Leverage expertise that’s already protecting millions of vehicles with a Vehicle Security Operations Center that combines technology, processes, playbooks, and knowledge.
Protect in-vehicle networks with comprehensive network monitoring, threat detection, and attack prevention as an ECU library or pre-integrated into switch firmware.
