AI-Driven Threat Detection in DevSecOps Pipelines for Insurance Applications
Keywords:
DevSecOps, Threat, AI, InsuranceAbstract
As the insurance technology space continues to develop at a massive rate, security in continuous development environments must be guaranteed. In this paper, the author will demonstrate an AI-powered model of real-time threat detection implemented into DevSecOps pipelines specific to insurance applications. The framework can proactively discover the threats using machine learning, deep learning, and anomaly detection models and remains agile in terms of deployment. Clinical trials have shown a higher degree of accuracy, shorter time to detection and greater compliance. The strength of the system is facilitated by quantitative benchmarks and new visual analytics. The proposed study will provide a scalable and smart threat management solution according to the regulatory requirement and operational speed within the continuous integration and delivery pipeline in the insurance sector.
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