

The Callisto threat intelligence AI agent leverages the robust natural language processing and reasoning capabilities of the Butterfly Large Model to integrate and correlate vast amounts of threat intelligence and automotive supply chain data. It encompasses over 80,000 pieces of automotive vulnerability intelligence, more than 2,000 automotive cybersecurity incident records, and over 20 types of ECU components in the automotive supply chain. Utilizing machine learning algorithms, it conducts in-depth analysis to identify issues early and suggest effective measures. For instance, if an ECU component vulnerability is detected, the agent can swiftly pinpoint similar vulnerabilities in other models, aiding OEMs and suppliers in quickly identifying and responding to critical component vulnerabilities and security incidents. Additionally, it continuously monitors for the latest threat intelligence, providing automakers with timely, accurate risk warnings and response strategies.
1.Automotive supply chain ECU component-level vulnerability detection and early warning 2.Automotive supply chain threat risk compliance certification assessment 3.Threat intelligence custom subscription service 4.Exclusive automotive supply chain attack and defense think tank Q&A 5.Automobile cybersecurity incident intelligent analysis report
The AI agent relies on the Butterfly Large Model capabilities to accurately identify data about brand models, parts and components, and network security events when faced with massive threat intelligence data retrieval scenarios, and provide correlations between various types of data.
Based on technologies such as recognition of user intentions, context association, and data analysis, customized intelligence data requests can be input to the AI agent based on the needs of automotive cybersecurity operations personnel.
Based on data understanding and task breakdown, the required data is retrieved from the automotive threat intelligence database, and the intelligence data is integrated and processed using relevant tools to return query results.

This AI agent is specifically designed for the connected car ecosystem, offering dedicated car-specific intelligence and event tracking. It features vehicle-related vulnerability detection, exposure analysis, priority classification, and mitigation recommendations to enhance automotive security.
Provides full-process closed-loop management of ECU vulnerabilities from detection, evaluation, disposal, and closure.
Help OEMs, Tier 1 and Tier 2 suppliers to effectively monitor automotive-related security events and vulnerabilities, and meet automotive industry standards and compliance such as UNECE WP.29, ISO/SAE 21434 and "Automotive Information Security Technical Requirements" .
In the field of automotive cybersecurity, automotive threat intelligence agents play an important role, exemplified by TBOX-related vulnerabilities. It continuously monitors global network security vulnerability databases, automotive cybersecurity research institute reports, hacker forums and other channels, and conducts in-depth analysis and risk assessment after discovering new vulnerabilities. Issue emergency alerts to automakers and suppliers for high-risk vulnerabilities, providing detailed remediation recommendations and emergency response measures. Automakers and suppliers notify owners of vulnerabilities and remediation measures, and owners take action accordingly. After the vulnerability is fixed, the AI agent continues to monitor whether there are new attacks and pay attention to other potential vulnerabilities to ensure the continued stability of automotive network security.
