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Republic Polytechnic
Infocomm

C350 Secure Design of AI Systems

This module prepares students to design resilient security architectures for AI systems, with an emphasis on integrating Zero Trust principles for AI agents and APIs.

Students will learn to evaluate secure API strategies and implement Model Context Protocol (MCP) to ensure safe data access for AI agents.

Using frameworks such as the NIST AI Risk Management Framework and the MITRE ATLAS, students will learn to design architectures that secure the interface between AI models and enterprise data.

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