
Developed and integrated LockSelf documentation and ingestion enhancements across SEKOIA-IO/documentation and SEKOIA-IO/intake-formats, focusing on accelerating onboarding and improving data quality for security event ingestion. Delivered a comprehensive integration guide using Markdown and MkDocs, detailing configuration and setup for private cloud and on-premise environments. Enhanced the ingestion pipeline by introducing a new LockSelf log parsing format, unifying parser configurations, and expanding Elastic Common Schema (ECS) fields for authentication and IAM events. Refactored YAML-based configurations to remove deprecated fields, updated tests for reliability, and aligned documentation with parser changes, strengthening maintainability and supporting more accurate SIEM event analysis.
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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