InData Compliance Solutions for the Intelligent Connected Vehicle Industry (Part 1)In the article, we mainly discussed some basic background and legal requirements of data compliance in the intelligent connected vehicle industry. Next, we will focus on introducing relevant solutions for data compliance in the intelligent connected vehicle industry.
Data classification and level
Data is an important asset driving the development of intelligent network-connected vehicles, but the premise of data processing and utilization is to ensure compliance, and the primary task of ensuring compliance is reasonable data classification and level.
1. Sort out the data classification and level system
The Jiuzhihui expert team provides data classification and level consulting services, helps enterprises sort out the data classification and level system, and assists enterprises in establishing data classification and level templates.
2. Easily discover enterprise data assets
Connect enterprise cloud, local structured, and unstructured data, discover sensitive data assets of the enterprise, and form a data classification and level asset list.
3. Unstructured data recognition capabilityEfficiently and accurately identify faces, license plates, and other data.
4. Automatic classification
Based on data content and metadata context information, use machine learning models for automatic classification, and finally determine its classification level.
Privacy compliance management
Every business launch on the APP terminal, vehicle terminal, and other platforms requires ensuring compliance to ensure the risk-free launch of the business, and the privacy compliance management platform can help enterprises efficiently complete PIA assessment and maintain RoPA.
1. Data compliance assessment
Based on the PbD concept, establish an automated assessment workflow, cooperate with the rule engine to achieve efficient risk assessment and governance, conduct compliance assessment before each business launch, and ensure the risk-free launch of the business.
2. Data processing activities
Comprehensively sort out the organization's data processing situation, form a scenario data list, clearly draw the flow chart of processing activities, and form a big picture of data cross-border flow.
3. Data compliance knowledge base
Collect relevant laws, regulations, standards, and industry norms in the automotive industry, provide friendly search capabilities, and at the same time, can provide legal basis for scenarios such as risk assessment and risk governance.
Personal principal rights protection
With the awakening of users' 'privacy awareness', car manufacturers are facing increasing personal principal requests, so it is particularly important to respond efficiently and conveniently to user rights exercise.
1. Connect to real data sources, automatically respond to personal principal rights exercise requests, including the right to access, correct, and delete.
2. Processed rights exercise work order management, the enterprise customizes the rights exercise management process nodes to quickly respond to user requests.
3. Automatically generate rights exercise reports, automatically generate a rights exercise report based on the data query results, and users can customize the field names of the report data for email reply.
Video and image anonymization processing
Car manufacturers have a large amount of image and video data, and the anonymization processing of images and videos is a major challenge faced by car manufacturers.
Utilizing the deep learning-based image and video anonymization technology provided by Jiuzhihui, help car manufacturers comply with data protection regulations such as Personal Information Protection Law, GDPR, CCPA, APPI, and PIPL.
By accurately replacing faces and license plates with AI-generated images, it eliminates user privacy while maintaining the usability of images for data analysis and machine learning training.
评论已关闭