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S3-VSOC

Use powerful and efficient artificial intelligence technology to accelerate the detection and prevention of new threats in automotive networks.

Vehicle Threat Intelligence Subscription Service

Callisto Vehicle Threat Intelligence Service provides tailor-made vehicle threat intelligence services specifically for automakers and supply chains.

Intelligent driving cybersecurity solutions

We provide comprehensive solutions to address automotive cybersecurity, user privacy and ECU security in intelligent driving.

Charging pile cybersecurity solution

We are committed to protecting charging pile and charging network data and creating the most forward-looking and competitive solutions.

Automotive Data Security Solutions

Focusing on the data security of intelligent connected vehicles, we create customized data security solutions for automakers.

Vehicle-Road-Cloud cybersecurity Solutions

Network and data security solutions designed specifically for "vehicle-road-cloud integration".

V-Copilot - Callisto VSOC operation AI agent

An intelligent companion for vehicle security center operations

Vehicle threat intelligence AI agent

Intelligently analyzes vast threat intelligence data, continuously monitors emerging automotive security risks, and provides timely, accurate risk warnings and response strategies

Advanced analysis AI agent

Continuous monitoring and analysis of vehicle data identify potential risks, optimize abnormal alarm strategies, and reduce false positives and negatives.

Data security compliance AI agent

Understand global data security compliance, quickly output compliance analysis results, and avoid data security compliance risks

TARA analysis AI agent

An intelligent TARA analysis product designed for OEMs automates the identification of network threats, assesses asset risks, and formulates defense strategies to comprehensively enhance network security protection capabilities.

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Vehicle-Road-Cloud Security Solutions

Network and data security solutions designed specifically for "Vehicle-Road-Cloud integration", covering V2X security, roadside equipment security, cloud platform security, and Vehicle-Road-Cloud data protection.

With the rapid development of intelligent connected vehicle technology, Vehicle-Road-Cloud integration has become an important development direction of intelligent transportation. However, this emerging technology also faces many cybersecurity risks, which not only affect the safety of the vehicle itself, but also may threaten road infrastructure, cloud computing platforms and even national security.

Risks of Vehicle-Road-Cloud network security

Cloud security risks

API service interface security:If the interfaces of these API services lack the necessary security authentication, or the communication protocols used have vulnerabilities, attackers can launch attacks on vehicles from the public Internet to steal data or perform malicious operations.

Data leakage risks:In the cloud, a large amount of intelligent connected vehicle data is stored centrally. If the security protection measures in the cloud are weak, it may lead to large-scale data leakage.

Connected vehicle cybersecurity risks

In-vehicle software and hardware vulnerabilities:Intelligent connected vehicle are composed of numerous on-board controllers and complex software systems, and there may be unidentified security vulnerabilities in their software and hardware designs. Attackers can exploit these vulnerabilities to escalate privileges, remotely control or perform other malicious operations, seriously affecting the operation and safety of the vehicle.

Infrastructure and control system risks:If these systems are interfered with or controlled by external attackers, the vehicle may be unable to correctly perceive the road environment or execute erroneous driving instructions, which may seriously endanger driving safety.

Roadside Equipment network security Risks

Identity Theft/Abuse:Attackers may steal the legitimate identity of the terminal devices, impersonate the devices, send false messages, and disrupt traffic control system.

Terminal network intrusion:Attackers may exploit security vulnerabilities in roadside equipment applications to launch attacks, causing the applications to work abnormally.

Data and instruction tampering:Attackers can tamper with the signal control solution by attacking communication links, invading devices, etc., resulting in the signal control instructions not being executed correctly.

Communications hijacking and information sniffing:Roadside equipment is connected to the cloud-based vehicle-road collaborative business platform through traditional IP networks. These networks are subject to security threats such as communication hijacking, information sniffing, and message forgery.

Solution

Vehicle-Road-Cloud integrated security management platform

The Vehicle-Road-Cloud integrated network security operation platform has successfully optimized the security operation process by combining the advanced Vehicle-Road-Cloud digital twin analysis model with the Butterfly AI. The Vehicle-Road-Cloud security management center consists of a diverse data source collection module, a data processing module, an asset management module, a security analysis module, an auxiliary analysis module, and a mitigation management module to manage security boundaries across vehicles, roadside equipment, V2X communication links, and cloud platforms.

Vehicle-Road-Cloud Vulnerability Intelligence Platform

The V2X Vulnerability Intelligence Platform is an advanced system based on cloud computing architecture that uses Callisto technology to collect and analyze vulnerability and security intelligence from multiple data sources. The platform is committed to providing comprehensive threat intelligence support for the V2X environment, achieving end-to-end vulnerability detection, threat impact analysis, and mitigation measures.

Vehicle-Road-Cloud Data Protection Platform

In order to cope with the complexity and variability of Vehicle-Road-Cloud data characteristics and the challenges of identification and protection, this platform uses the Callisto Butterfly AI technology in accordance with relevant standards and specifications to achieve zero-sample-level Vehicle-Road-Cloud sensitive data discovery. This function enables the platform to efficiently identify vehicle and personal sensitive data and provide corresponding mitigation suggestions to ensure data security and privacy.