## 5 Business Security Operation Mechanism with LiSEA  
In the trajectory of materializing a business architecture grounded in microservices, the business API emerges as the elemental building block of business realization. This pivotal construct is characterized as the smallest operational unit within the overarching business framework. The realm of business realization, contingent upon diverse business scales, is discernibly stratified along three distinct dimensions. In the context of small-scale businesses, the adept orchestration of business applications driven by business APIs is deemed proficient and fitting. For medium-scale businesses, a requisite transition transpires, necessitating the creation of an encompassing business platform marked by an assemblage of distinct yet synergistic business applications. This platform serves as the linchpin for facilitating multifunctional operations. In stark contrast, large-scale enterprises assume a considerably intricate architecture, wherein the realization of a specific business domain demands concerted efforts across multiple business platforms. These platforms collectively harmonize their services to undergird the comprehensive fulfillment of the designated business sphere. This tripartite categorization delineates the strategic contours that govern the execution of business realization across various scales. Within the context of LiSEA, the architecture's access control model is concretely instantiated through the strategic deployment of security interventions grounded in the realm of aspect-oriented programming. Depending on the requisite scope of control, distinct agents within the security joint point framework are meticulously devised, culminating in the realization of a finely calibrated and granular control mechanism, as visually elucidated in Figure 2.  
Intrinsically, LiSEA recognizes that contemporary online business processes subsist within a perpetual state of vulnerability, susceptible to an array of both known and hitherto unidentified risks. To comprehensively fortify against these multifarious threats, LiSEA ingeniously amalgamates three distinct operational management mechanisms in a parallel fashion, collectively fortifying the business landscape. Risk modeling is a flexible framework with big modern data analyses based on deep learning, machine learning, and artificial intelligence to detect new, unknown risks [46]. This flexible framework leverages the prowess of modern data analysis to promptly discern novel and enigmatic risks. The proven utility of risk models, notably prevalent within diverse sectors encompassing finance, internet technologies, and power grids, underscores the ubiquity and efficacy of this approach [47]. Within LiSEA, the focus of the risk model is primarily centered on the dynamic evaluation and nuanced risk assessment of diverse business scenarios. Business processes, serving as pivotal instruments in the value generation endeavors of organizations, are subjected to a plethora of internal and external norms and constraints [48]. The delineation of relationships and delineation of boundaries amid key business constituents such as business activities, business events, business collaborators, business resources, and data is aptly realized through meticulous business modeling. Leveraging business models, LiSEA efficaciously transmutes both the model and the stipulated security prerequisites into rigorous formal specifications, thus engendering inputs conducive for business verification. ACLs [10; 11] provide security for a private network by controlling the flow of incoming and outgoing packets. In LiSEA, the formulation of business ACLs manifest through the crafting of a sequential assemblage of rules, assiduously devised to sieve through and prohibit unauthorized access. These rules can emanate from diverse sources, ranging from threat intelligence to third-party security products, and even administrative stipulations.