February 2026 monthly summary for SEKOIA-IO development work. Focused on asset-connector modernization, Copilot reliability, data model fixes, CI/QA improvements, and test infrastructure enhancements. Highlights include YAML-based asset connector configs and SDK upgrades, Copilot bug fixes, suggestions data model corrections, HarfangLab data fix, manifest/version updates, and expanded URL test coverage with privacy-focused testing.

Month: 2026-01 — Performance summary focused on delivering business value through reliable features, robust fixes, and improved code quality across SEKOIA-IO repositories. Key features delivered: - AWS manifest updated in automation-library to reflect current deployment and security posture (commit 0be3de592bb74e6d6c839b8b72d4c382837c3007). - Asset Connectors: added internals field and standardization improvements, plus version bumps and internal placement updates across Asset Connectors for better asset data fidelity (commits 3d6652ee6b16fa1c4d3dbc9ba942841ecfcc4eb1; 46c75809526bd3ee59e48032af1dbe2bb2e6c4e3; f2495e2ab68c9b7629a0fc5f992f60cb1521471b). - Tenable integration improvements: updated hostname field and CVE identifiers handling to improve vulnerability mapping accuracy and reduce false negatives (commits fb65a159cc09271245c203fbf4f556501fbdda5e5; 607054c7700b3b07cf5fc0198c42a52fb4a22478). - CI and code quality enhancements: enforced Black formatting, updated Black version, and CI/test reliability improvements across multiple services (commits e48eaa1482d8a25e3b007971de404f0f929046ec; cc61e6649915e9c0a30137950446ff632c2f5c13; edaf6f982a527b5d77ca9fe578b04553bb1c1760). - Documentation and maintainability: added docstrings and updated manifest version to reflect releases (commits f05a6c5cc3865632caefe7ad086a836aa88ab8e2; 54e06d502702a482108f36407dc737d32ea2ef27). Major bugs fixed: - Poetry dependencies and package management issues resolved to stabilize local and CI environments (fix(depends) : fix poetry libs, commit 4797f8d1fcc299ca28486288fb70b0fcf87247fd). - CI/test suite improvements: fixes to tests, linting, and type checks to ensure reliable CI results (multiple commits including 9fc6effecc2724274af9f0415c2215595522eebf; 1ef163b9bd3496f05907b4b0179c9e76d5b8ccd7; c1f77a54bc3704c5ed04bc03c1a283741e993a9e); fix(mypy) : apply black (fc62cd707f5df3799bd47fdc952af4e92efd3c32). - Quality and review fixes: applying code review suggestions and import fixes to reduce technical debt (fix(Review) : add review suggestions; fix(imports) : fix some imports issues; commits 09eb566cd1b9c7dd5c9ca9a0a67c37f21e0cf6c6; cb972393d90db38114a5184b57e800916207d181). - Config and Okta-related fixes: repair duplication and configuration differences to stabilize identity integrations (fix(config) : fix duplication of field in okta; d784d0fda56b7a811f61546e69c2a5d6614b7df5; c1639fd47ad83d90dbaf65b82a8f39a204ae1ac7). Overall impact and accomplishments: - Release-ready codebase with improved data fidelity, security alignment, and compliance-focused tooling. Enhanced reliability of CI pipelines, expanded test coverage, and clearer data models for asset management and integrations. These changes reduce maintenance costs and accelerate future feature delivery. Technologies/skills demonstrated: - Python and ecosystem tooling (Poetry, Black, mypy), CI/CD discipline, test automation and data anonymization, asset/connectors data modeling, and documentation practices.

2025-12 monthly summary covering SEKOIA-IO/intake-formats, SEKOIA-IO/automation-library, and SEKOIA-IO/documentation. Focused on reliability, performance, and developer experience improvements across multiple repos. Notable outcomes include a reliability refactor in taxonomy validation, migration of Ubika HTTP client to httpx, dev tooling standardization with Poetry, enhanced retry mechanisms with Ubika integration, Copilot-driven improvements and retry refactor, and CI/quality gains through Mypy fixes, Black formatting, and expanded test coverage. Documentation updates clarified a DNS service name to reduce setup confusion and align with latest integration schemas.

November 2025: Focused on delivering core connectivity, resilience, and data governance capabilities across SEKOIA-IO repositories. Key features include a new Microsoft Active Directory Asset/User Asset Connector with LDAP integration and inventory tooling; enhanced API client resilience for UbikaCloudProtectorNextGen; data privacy, anonymization, and test-data hygiene improvements across intake-formats; parser/configuration enhancements for better maintainability; plus documentation improvements for HarfangLab EDR, Trellix ATD, and CyberArk integrations. We also completed extensive CI hygiene, tests, and refactors to improve reliability and developer productivity.

October 2025 highlights focusing on business value, data quality, and maintainability. Key features delivered include the CrowdStrike Falcon Device Asset Connector (device inventory collection, mapping to OCSF (OS, device type), firewall status enrichment, and robust pagination and checkpointing with most_recent_device_id) and HarfangLab account validator improvements (enhanced error logging and formatting). Documentation expanded for onboarding and usage across major connectors: Tenable.io Asset Connector Documentation, HarfangLab EDR Integration Documentation, and CrowdStrike Falcon User Assets Documentation. Minor CI hygiene through test suite maintenance in intake-formats. Overall impact: improved data fidelity, faster onboarding, and stronger operational scalability across connectors, with demonstrable gains in developer productivity and customer readiness. Technologies demonstrated include Python, data mapping to OCSF, pagination and checkpointing, robust logging, Black formatting, API token workflows, and comprehensive documentation practices.

September 2025 performance summary: Delivered core features and stability improvements across SEKOIA-IO/automation-library, documentation, and intake-formats, with a focus on business value, data integrity, and maintainability. Key features delivered include: SDK version bumps across multiple integrations to maintain compatibility; batch size configuration for the SDK connector to optimize throughput; CrowdStrike user asset connector introduced; changelog and checkpoint feature updates; and targeted documentation/name fixes for accurate data representation. Major bugs fixed included enum fields, value handling, mypy typing issues, test failures, and formatting; these fixes improved reliability, type safety, and test coverage. The combined effect is reduced operational risk, improved data accuracy and processing speed, expanded asset telemetry, and better release hygiene. Technologies demonstrated include Python, mypy, pydantic compatibility, Black formatting, Poetry lock management, and robust CI/test practices.

August 2025 performance summary: Strengthened reliability and maintainability across data integrations. Delivered critical Harfanglab fixes (checkpoint handling and exception robustness) along with manifest/logging/timeout enhancements; introduced the first Tenable asset connector; advanced code quality with Black formatting, mypy type fixes, a major refactor and a new main entrypoint; and delivered intake-formats improvements including Nozomi module UUID and clarified alert descriptions, plus Forcepoint parser fixes to improve data ingestion.

July 2025: Delivered end-to-end Harfanglab asset integration within SEKOIA-IO/automation-library, including Harfanglab asset connector, device asset connector, OCSF mapping, unified connector configuration/registration, API client, OCSF models, and an account validator to verify credentials. Strengthened data ingestion with improved type hints and comprehensive tests, ensuring accurate asset representation in the OCSF schema. Implemented CI stability and code quality improvements across the repo, including unique CI UUIDs, manifest/config adjustments, Poetry lock updates, and consistent formatting. Addressed model/test adjustments and ongoing mypy/lint fixes to maintain a reliable, maintainable codebase. Business value: reliable, end-to-end asset ingestion and standardized asset schemas enable faster onboarding of connectors and higher-quality analytics; technical achievements span Python, OCSF, API clients, type hints, testing, and CI/CD practices.

June 2025 monthly summary: Delivered key features and reliability improvements across the automation-library and documentation, with a strong focus on type-safety, API payload correctness, and robust data handling. Cortex XDR integration improvements enhanced data retrieval, payload integrity, and error handling. Published Olfeo SAAS integration documentation to accelerate customer onboarding. Overall, enhanced system stability, maintainability, and deliverable quality with improved testing, tooling usage, and release notes.

May 2025 focused on delivering business value through clearer integration documentation, testability improvements, and a stronger, more maintainable codebase. Key outcomes include improved Cisco ISE and Palo Alto Cortex EDR docs with explicit feature coverage and removal of duplicated content, the introduction of a base and fake Asset Connector to enable realistic testing, and a broad package/CI cleanup (naming, pyproject/Poetry, Dockerfile) with enforced code quality (Black formatting, mypy fixes, and refactoring). Documentation and branding assets were added (changelog and logo), and the test suite stabilization work reduced flaky tests, improving release confidence.

April 2025 monthly summary: Focused on delivering business value through improved documentation, robust data ingestion, and reliable API client behavior across SEKOIA-IO repositories. Key outcomes include clear, accurate docs for critical workflows, a new F5 Distributed Cloud ingestion path, and reliability improvements in HTTP communications. Key features delivered: - SEKOIA-IO/documentation: • Threat Analysis Center Documentation: Windows Server Requirements link fixed to point to the correct KBA article. (commit 334d2b1c3a5f8b77086062c6630a3f4f153f85c2) • F5 Distributed Cloud integration documentation added (overview, architecture, and step-by-step configuration for sending logs to Sekoia.io); navigation updated to include the new docs. (commit 8f519264d6a800c19dcf3d4180a0beb2562295e8) • Akamai WAF documentation: Telemetry mention removed to reflect updated detection basis (no code changes). (commit a0693baed3b0fda9e6008d68a329b9c75d7110be) - SEKOIA-IO/intake-formats: • F5 Distributed Cloud ingestion setup with new data sources and a parser (commits 7f77ec4766f3993139009f1746e365cd364794e8, 9c0e2eb31f431dc7760e84314cc59f25b72ec708, 73dc7deb2aab8e9c47944f1a8e13589eebd939ce). • Wallix Bastion parser enhancements with additional mappings, plus parser configuration improvements (commits 835615cce63452538f552eed35bfa04be854556f, fa97e38a956bda78b2ccf449490e89e0df4975ae). • Backslash escaping fix in log parsing to prevent data processing errors (commit 8ad0b48693657ba6e93291f4218a34c485f91ebd). • Smart descriptions for intake formats to improve data/event descriptions (commit 0874798f4a0b38b0c4c6edbb589ef32e022e3236). - SEKOIA-IO/automation-library: • HTTP Client Stability Improvements: rate limiter concurrency (max 3 concurrent requests) and updated rate limit to 16 requests per second; code formatting cleanup (commits 783635627ca891820ec3b185a10bbcadeff85eb9, 888ed45c452649d7dd34485ac83796bce5f02cc8). Overall impact and accomplishments: - Improved user access to accurate KBA and clearer guidance for F5 integration, reducing time to value for security operations. - Strengthened data ingestion capabilities with new F5 data sources and robust parsers, enabling faster, more reliable security telemetry. - Improved data quality and reliability through enhanced parsing, smart descriptions, and safer log processing. - Compliance and stability improvements for API interactions via rate limiting and linting. Technologies and skills demonstrated: - Documentation discipline and best practices for user guidance and navigation. - Parser development and data-source integration for security telemetry. - Log parsing edge-case handling (backslashes) and data quality improvements. - API robustness: rate limiting, concurrency control, and maintainability improvements (Black formatting).

March 2025 highlights across SEKOIA-IO/automation-library, SEKOIA-IO/intake-formats, and SEKOIA-IO/documentation focused on reliability, data quality, and automation enablement. Key outcomes include a major SentinelOne module refactor with persistent caching for event filtering and adherence to code standards; targeted bug fixes for SentinelOne argument normalization and event caching stability; DNS ingestion improvements with data normalization; and the addition of an Automation Connector UUID for Google Cloud Load Balancing to enable end-to-end automation workflows.

February 2025 monthly summary focusing on business value and technical achievements: Implemented foundational Microsoft Sentinel integration and improvements across SEKOIA-IO, expanded data ingestion resilience, and strengthened maintainability. Delivered core features including the Microsoft Sentinel Connector for SEKOIA.io with error handling, metrics, and configuration refinements; expanded Sentinel-related intake formats, DNS parsing robustness, and Defender parser enhancements; and added a new 'result' field to workflow trigger data to improve traceability. Documentation and tooling were updated to reflect changes, while dependency and SDK maintenance improved security, performance, and compatibility. Overall impact: faster incident response, higher data quality and traceability, and reduced operational risk through validated code quality practices and robust configuration management.

January 2025 performance summary focusing on ingestion robustness, data quality, and maintainability across three repositories. The team delivered substantive improvements to data enrichment, context for dashboards/alerts, and parser reliability, enabling clearer business insights and faster incident response. Key enhancements include field enrichment and standardization for HarfangLab intake, richer Office 365 and ChromeOS/Google Cloud context, and granular Google Cloud event categorization. Also delivered data integrity checks, test stability improvements, and broad code quality, packaging, and documentation updates to support scalable deployment and future work.

December 2024 monthly summary focusing on key business value and technical achievements across SEKOIA-IO repositories. Highlighted work includes expanding data ingestion capabilities, fixing critical parsing and data quality issues, and strengthening code quality and containerization for reliability and faster delivery.

November 2024 monthly summary focusing on key accomplishments across the intake-formats, automation-library, and documentation repos. Delivered feature improvements and reliability fixes that enhance data quality, security monitoring, and developer experience. Key highlights include: enhanced Palo Alto NGFW log parsing with new patterns and schema updates; Google Cloud report ingestor improvements with SAML authentication parsing, context-aware access logging, and rules service; Smart Description system refinements with bug fixes; ChromeOS service introduced in automation-library with updated changelog/docs; improvements to the Create IOCs action and related tests; and documentation updates to surface Chrome activity events.

October 2024 monthly summary for SEKOIA-IO/automation-library: Key feature delivered - Search API now returns results in a structured dictionary format, encapsulated under the 'search_result' key for consistent downstream parsing. This change improves client integration, reduces parsing errors, and enhances testability. Changelog updated to document the new response contract. No major bugs fixed this month. Overall impact: improved API reliability and developer experience, enabling faster client integrations and clearer data contracts. Technologies/skills demonstrated: API design, data serialization, Python code changes, version control with precise commits, and changelog maintenance.