Quantum-Resilient Secure Framework for Agentic LLM Workflows in E-Commerce and FinTech Systems

In e-commerce and FinTech platforms, agentic large language model (LLM) systems are becoming more common to automate the decision-making process, examine frauds, and communicate with customers. The systems are autonomous and work with the help of planning, using tools and constant feedback. This enhances efficiency; however, new security and governance risks are introduced. Meanwhile, with the fast development of quantum computing, classical cryptography leading to the practical penetration of AI systems and electronic transactions is under threat. This poses a two-fold problem to new business ventures. The given paper suggests and discusses a quantum-resistant secure architecture of agentic LLM processes. It is a framework that includes post-quantum cryptography, zero-trust access control, and risk governance at the level of agents, which are dynamic. The proposed system is compared with a baseline agentic system and these comparisons are done based on a quantitative experimental methodology on the basis of classical and quantum-inspired threat models. Measures to be undertaken through the use of large-scale simulations are metrics like attack success rate, probability of risk detection, system latency and completeness of the audit trace. It reveals the outcomes that the suggested framework brings about the reduction of successful attacks greatly, enhanced auditability, and stable performance, even in the case of simulated quantum threats. Though the framework incurs a moderate implementation cost, the security and control services are by far better than the cost. These conclusions prove the fact that quantum-resistant and properly governed agentic LLM systems not only are practical but also required to exist in the future of e-commerce and FinTech worlds.