From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Model deployment and integration

Model deployment and integration

From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Model deployment and integration

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Model deployment is the moment when an AI system leaves the controlled environment of development and enters the real world. It begins to interact with users, data streams, and connected applications in real time. Once live, the model becomes part of a larger ecosystem, where every decision, input, and connection must be protected. One of the major challenges with model deployment is infrastructure security. Whether the model runs in the cloud, on local servers, or on edge devices, the environment it operates in must be hardened. Deploying the model using a container architecture, such as Docker, can isolate the model from other processes and limit potential damage if something goes wrong. Firewalls, strict network rules, and regular patching are also vital. When exposed to an API, placing the model behind an API gateway and a WAF helps authenticate, filter traffic, rate limit requests, and detect and block suspicious activity. Access control is equally critical. Only authorized…

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