# AI Security AI Application Layer Artificial Intelligence Security on Artificial Intelligence Application Layer is security applied specifically to the application layer of an artificial intelligence system #### 1. SQURA SecureAI SQURA SecureAI is a security solution that protects AI-based systems during execution or runtime. In general, this name refers to a set of tools and technologies that ensure that AI models and the applications that run them are safe from threats, such as code injection attacks or data poisoning, that can occur during model operationalization. This technology monitors and protects AI processes in real-time, automatically detects and responds to threats, and maintains the integrity of AI models to keep them secure and functioning as intended. #### 2. SQURA AdoptAI SQURA AdoptAI is a security solution that supports the safe adoption of Generative AI (GenAI) applications in every customer's business process. This reduces the risk of leaking sensitive corporate data when using GenAI applications to make daily work easier, as well as enabling detailed access control and data management. A simple example is using GenAI to help create an enterprise GenAI. Another example is using GenAI to help take meeting notes (MoM) during a meeting. Overall, AI Security pada AI Application Layer focuses on protecting AI applications from various threats that can affect the reliability, security and integrity of the results produced. This includes everything from protecting user data to ensuring that AI models remain safe from external manipulation and attacks. Strong security at this layer is critical to maintaining user trust and minimizing the risks associated with deploying AI in a variety of business and industrial applications. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.cloudeka.ai/guidance-for-individual/service-portal-ai/security/ai-security-ai-application-layer.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.