
During January 2025, Manish Kandel developed and integrated comprehensive LockSelf documentation and ingestion features within the SEKOIA-IO/documentation and SEKOIA-IO/intake-formats repositories. He designed a new log parsing format and unified parser configurations using YAML and Python, enhancing data ingestion and transformation pipelines. By expanding ECS fields and refining event categorization for authentication and IAM events, he improved data consistency and searchability. Manish also refactored the ingestion pipeline to remove deprecated fields, updated tests, and aligned documentation with parser changes. His work strengthened maintainability, reliability, and onboarding for LockSelf integrations, demonstrating depth in backend development, configuration management, and SIEM practices.

Monthly summary for 2025-01 focusing on key features delivered, major bugs fixed, overall impact and accomplishments, and technologies demonstrated. Highlights from SEKOIA-IO/documentation and SEKOIA-IO/intake-formats: Key features delivered: - LockSelf Documentation and Integration Guide: Delivered comprehensive documentation covering product overview, supported environments (private cloud and on-premise), configuration steps, and interconnection setup; included steps to create an intake within Sekoia.io and integrate LockSelf navigation into the MkDocs structure, with a new MkDocs entry. - LockSelf Ingestion and Parser Enhancements: Introduced a new LockSelf log parsing format; unified and simplified parser configurations; updated metadata and documentation to reflect the changes. - Security Event Categorization and ECS Enrichment: Expanded ECS fields and categorization for authentication, IAM, category, group, and other security-related events. Major bugs fixed and quality improvements: - Refined parser and data flow: updated parser.yml for LockSelf ingestion; adopted event.dataset over event.type; adopted source.ip in place of deprecated lockself.client.ip; updated tests accordingly. - Code quality and maintainability: linted taxonomy and grouped parsing stages to reduce duplication; pruning and taxonomy cleanup to improve maintainability. Overall impact and accomplishments: - Accelerated onboarding and reliability for LockSelf integrations, enabling faster customer activation and more accurate security-event ingestion. - Improved data quality and consistency across ingestion formats and ECS enrichment, enabling better search, correlations, and incident response. - Strengthened testing and documentation alignment, reducing risk in deployments and future changes. Technologies/skills demonstrated: - MkDocs, YAML-based configuration, and documentation integration. - Ingestion pipeline design and log parsing enhancements. - ECS field expansion and security-event categorization. - Code refactoring, testing practices, linting, and taxonomy management.
Monthly summary for 2025-01 focusing on key features delivered, major bugs fixed, overall impact and accomplishments, and technologies demonstrated. Highlights from SEKOIA-IO/documentation and SEKOIA-IO/intake-formats: Key features delivered: - LockSelf Documentation and Integration Guide: Delivered comprehensive documentation covering product overview, supported environments (private cloud and on-premise), configuration steps, and interconnection setup; included steps to create an intake within Sekoia.io and integrate LockSelf navigation into the MkDocs structure, with a new MkDocs entry. - LockSelf Ingestion and Parser Enhancements: Introduced a new LockSelf log parsing format; unified and simplified parser configurations; updated metadata and documentation to reflect the changes. - Security Event Categorization and ECS Enrichment: Expanded ECS fields and categorization for authentication, IAM, category, group, and other security-related events. Major bugs fixed and quality improvements: - Refined parser and data flow: updated parser.yml for LockSelf ingestion; adopted event.dataset over event.type; adopted source.ip in place of deprecated lockself.client.ip; updated tests accordingly. - Code quality and maintainability: linted taxonomy and grouped parsing stages to reduce duplication; pruning and taxonomy cleanup to improve maintainability. Overall impact and accomplishments: - Accelerated onboarding and reliability for LockSelf integrations, enabling faster customer activation and more accurate security-event ingestion. - Improved data quality and consistency across ingestion formats and ECS enrichment, enabling better search, correlations, and incident response. - Strengthened testing and documentation alignment, reducing risk in deployments and future changes. Technologies/skills demonstrated: - MkDocs, YAML-based configuration, and documentation integration. - Ingestion pipeline design and log parsing enhancements. - ECS field expansion and security-event categorization. - Code refactoring, testing practices, linting, and taxonomy management.
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