
In July 2025, Amate developed Threat Intelligence Collections Management for the google/mcp-security repository, enabling users to create and manage collections with metadata and initial indicators of compromise. Using Python, Amate focused on backend development and API integration, implementing endpoints for creating collections, updating attributes, and managing IOCs. The system defaulted new collections to private, addressing privacy concerns, and introduced enhanced error handling to improve reliability during IOC updates. Dedicated commits provided clear traceability for auditing and rollback. The work demonstrated depth in API development and testing, resulting in a robust backend feature that streamlined threat intelligence collection management workflows.

In July 2025, delivered Threat Intelligence Collections Management for google/mcp-security, enabling creation of collections with metadata and initial IOCs, updating collection attributes, and adding/removing IOCs. Implemented privacy default to private and improved error handling for IOC updates. Fixed IOC operation bugs to enhance reliability. Key commits provide traceability: 5f82a4482edcc793e9d14b784e629fa3e9ef66b1; 15b9e45034671378718a0b211181312a31230f76.
In July 2025, delivered Threat Intelligence Collections Management for google/mcp-security, enabling creation of collections with metadata and initial IOCs, updating collection attributes, and adding/removing IOCs. Implemented privacy default to private and improved error handling for IOC updates. Fixed IOC operation bugs to enhance reliability. Key commits provide traceability: 5f82a4482edcc793e9d14b784e629fa3e9ef66b1; 15b9e45034671378718a0b211181312a31230f76.
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