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Learn how to implement security measures from the very beginning of AI development projects using Snyk's comprehensive security platform. Explore the "Secure at Inception" methodology that integrates security considerations into every stage of AI application development, from initial code creation through deployment. Discover how to leverage Snyk's Model Context Protocol (MCP) integration with Cursor IDE to identify and remediate vulnerabilities in real-time as you write code. Master techniques for securing AI codebases, open-source dependencies, containers, and infrastructure-as-code configurations while maintaining development velocity. Gain hands-on experience with MCP Scan tools and learn best practices for embedding security into AI development workflows without compromising innovation speed.
