The solution adopts a “data-capability-application-intelligence integration” framework, addressing the core security operational needs of financial institutions. By leveraging the Tianyan large model to enhance every aspect of security operations and incorporating scenario-based intelligent agent tools, it establishes an intelligent and efficient security operation system tailored to financial industry characteristics. This approach drives the evolution of security operations from “human-centric defense” to “intelligent defense.”

Large Model-Assisted Threat Detection and Monitoring: The Tianyan large model enables efficient collaboration between intelligent modeling and specialized detection models. The phishing email detection engine accurately identifies spoofed language patterns and malicious links, while the unknown vulnerability detection engine enhances risk mining capabilities from traffic data. The situational monitoring function provides visualized security status presentation and dynamic tracking. Integrated with vulnerability assessment expert agents and a financial industry vulnerability knowledge base trained on large models, the system rapidly evaluates  threat severity levels and business impact scope, offering professional analytical support for detection results to comprehensively improve threat detection accuracy and coverage.

Large Model-Assisted Security Incident Analysis and Response: Leveraging the network characteristics of the financial industry and accumulated security data, this solution employs large model knowledge graphs and correlation analysis capabilities to optimize the entire incident response workflow. The alert analysis expert agent aggregates multi-source alerts, filters false positives and redundancies, and accurately reconstructs covert attack chains across branch networks. The security intelligence interpretation expert agent supports natural language queries, rapidly correlates threat intelligence with core assets, and delineates risk impact boundaries. Building on this foundation, the intelligent response module automatically matches emergency response scripts, coordinates security devices to execute automated operations, effectively reducing human error rates, shortening incident response times, and ensuring financial business continuity.

Large Model-Assisted Security Operations Management: Addressing compliance requirements and operational pain points in the financial sector to enhance management efficiency. The solution proposes that expert agents leverage deep understanding of financial business scenarios through large models to develop targeted security protection plans and strategy optimization recommendations. Security expert agents utilize integrated security knowledge bases and compliance resources to provide natural language responses to daily operational queries.

Automated reporting functions enable rapid generation of scenario-specific reports such as compliance checks and risk alerts via natural language commands, meeting regulatory and internal management needs. By replacing repetitive manual tasks with intelligent tools, this approach reduces workforce burden while improving operational standardization and efficiency.

The Tianyan large model continuously learns new threats and financial compliance policies, optimizes model and agent capabilities, supports natural language interaction, achieves “human-machine-intelligence” synergy, and strengthens the security defense line for financial intelligence.