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Automotive Industry Scenario

Ensuring secure deployment of in-vehicle large model applications
Automotive Industry Scenario

What does the smart in-vehicle scenario include?

索引

  • Smart In-vehicle Scenario Overview
    Smart In-vehicle Scenario Overview
  • Challenges in Smart In-vehicle Scenarios
  • Smart In-vehicle Scenario Solutions
What does the smart in-vehicle scenario include?

Smart In-vehicle Scenario Overview

Smart in-vehicle scenarios achieve intelligent control of vehicle functions through the integration of large model technology, such as voice-controlled navigation, air conditioning, windows, driving modes, etc., enhancing driving convenience and safety. At the same time, based on large models' natural language understanding capabilities, in-vehicle systems can also provide rich multimedia application services, including music playback, audio-visual entertainment, content recommendations, and information queries, creating immersive intelligent travel experiences for users.

Challenges in Smart In-vehicle Scenarios

Smart in-vehicle scenarios, as the frontier of connected vehicle development, have brought significant innovation to driving experiences. However, during technology implementation, a series of potential threats have also been exposed, not only endangering driving safety but also bringing severe challenges to corporate brand image and compliance management.

Existence of False and Harmful Content

  • In-vehicle multimodal large models may fail to accurately identify potential intentions when facing complex or subtle questions, generating inappropriate or even harmful response content, bringing safety and compliance risks. Due to the difficulty of completely controlling reasoning logic under multimodal inputs such as images, voice, and text, users may bypass security policies through cleverly designed questions, inducing models to output false information, sensitive content, or inappropriate suggestions, increasing regulatory difficulty and uncontrollability in in-vehicle scenarios.

Unauthorized In-vehicle Interface Access

  • After large models are integrated into in-vehicle systems, if permission control is not strict, there may be unauthorized access or calling of sensitive interfaces (such as controlling navigation, windows, brakes, autonomous driving, etc.), potentially bringing serious driving safety hazards. Especially under multimodal input or complex instruction situations, models may misunderstand user intentions and trigger critical operations, leading to uncontrollable system behavior and endangering personnel and vehicle safety.

Spreading Content that Damages Corporate Image

  • When large models in in-vehicle applications are induced by malicious prompts, attacked, or fail to correctly identify sensitive topics, they may output content unfavorable to automotive companies or partner brands, such as spreading negative public opinion, false information, or biased comments. Once such content is perceived or spread by users, it will directly damage corporate reputation and bring public opinion risks and commercial impact.

Smart In-vehicle Scenario Solutions

When smart in-vehicle scenarios bring unprecedented convenience to travel, problems such as false content, unauthorized access, and damaged brand image also follow. To resolve these risks and create a safe and high-quality driving environment, we will propose comprehensive and practical smart in-vehicle scenario solutions from multiple dimensions including content protection, permission control, and brand image maintenance, helping the smart connected vehicle industry develop steadily.

Security Protection for Large Model Generated Content

For the problem of in-vehicle multimodal large models potentially generating false, harmful, or inappropriate content in actual interactions, specialized model protection plugins can be introduced to conduct real-time semantic-level risk identification and multimodal joint scanning of large model inputs and outputs, covering various input forms such as text, voice, and images. At the same time, the system has built-in risk response mechanisms that can use dedicated security models for alternative responses when sensitive or high-risk content is detected, achieving closed-loop content review and security assurance, effectively improving the controllability and compliance of in-vehicle interactions.

In-vehicle Function Permission Control

To prevent large models from unauthorized access to in-vehicle control interfaces, a fine-grained permission control system needs to be established. Through the dual mechanism of instruction understanding + permission verification, ensure models can only execute operations within user authorization scope. Critical functions (such as autonomous driving, window control, navigation changes, etc.) require multiple confirmations or permission isolation. At the same time, introduce behavioral log auditing and anomaly detection capabilities to conduct real-time monitoring and recording of model operation paths, preventing abnormal calls or accidental trigger behaviors, ensuring in-vehicle system operational safety.

In-vehicle Scenario Brand Alignment

Introducing brand value alignment models in in-vehicle scenarios can dynamically optimize large model output content in terms of style, stance, and expression methods, ensuring consistency with automotive company brand image, corporate culture, and compliance requirements. This mechanism can not only block negative content that may damage corporate image but also maintain consistent expression in multi-round interactions, outputting information that meets expected value orientations, providing users with trustworthy brand interaction experiences.