
Leonid Voloshyn engineered robust data ingestion and parsing pipelines for the SEKOIA-IO/intake-formats repository, focusing on expanding security telemetry coverage and improving event reliability. He developed and refined connectors and parsers using Python and YAML, implementing advanced regular expressions and schema validation to ensure accurate extraction and normalization of log data from diverse sources. By modernizing integration architectures and enhancing test coverage, Leonid addressed operational risks and streamlined onboarding for new formats. His work also included containerization with Docker and automation improvements, resulting in more maintainable, scalable systems that deliver higher data quality and faster, more reliable threat detection workflows.

October 2025 performance summary: Delivered high-impact features and reliability fixes across intake-formats, automation-library, and documentation, focusing on data quality, ingestion reliability, and expanded security telemetry. Key features include smarter descriptions for intake inputs, improved parsing of Office 365/Mimecast email attachments, and new data formats and connector improvements (Netskope AWS S3 format, Intake v2 modernization for Imperva WAF). Additional enhancements include Outlook content-type support, VMware vCenter ingestion improvements with richer event fields, and expanded Microsoft 365 Defender ingestion mappings. Major bug fixes tightened data accuracy for IPs and timestamps (Fortigate forwardedfor, Cisco IOS timezone, Unbound parsing, Windows opcode mapping) and improved DNS/CrowdStrike IP mappings. Documentation reorganization for Netskope Log Streaming aligns with network security structure. Impact: higher data quality, more reliable ingestion pipelines, faster incident analysis, and clearer data models. Technologies/skills demonstrated: advanced parsing and regex, connector architecture, ingestion pipelines, content-type handling, UI/data clarity fixes, and MkDocs-driven documentation workflows.
October 2025 performance summary: Delivered high-impact features and reliability fixes across intake-formats, automation-library, and documentation, focusing on data quality, ingestion reliability, and expanded security telemetry. Key features include smarter descriptions for intake inputs, improved parsing of Office 365/Mimecast email attachments, and new data formats and connector improvements (Netskope AWS S3 format, Intake v2 modernization for Imperva WAF). Additional enhancements include Outlook content-type support, VMware vCenter ingestion improvements with richer event fields, and expanded Microsoft 365 Defender ingestion mappings. Major bug fixes tightened data accuracy for IPs and timestamps (Fortigate forwardedfor, Cisco IOS timezone, Unbound parsing, Windows opcode mapping) and improved DNS/CrowdStrike IP mappings. Documentation reorganization for Netskope Log Streaming aligns with network security structure. Impact: higher data quality, more reliable ingestion pipelines, faster incident analysis, and clearer data models. Technologies/skills demonstrated: advanced parsing and regex, connector architecture, ingestion pipelines, content-type handling, UI/data clarity fixes, and MkDocs-driven documentation workflows.
September 2025 highlights: focused reliability and capability expansion across SEKOIA-IO repos, with major features delivered, data processing correctness improved, and release hygiene tightened. The month included cross-repo automation enhancements, extended data parsing and tests, and documentation updates that enable faster onboarding and smoother deployments. Overall, the work drove faster incident response, higher data accuracy, and more robust automation across connected platforms.
September 2025 highlights: focused reliability and capability expansion across SEKOIA-IO repos, with major features delivered, data processing correctness improved, and release hygiene tightened. The month included cross-repo automation enhancements, extended data parsing and tests, and documentation updates that enable faster onboarding and smoother deployments. Overall, the work drove faster incident response, higher data accuracy, and more robust automation across connected platforms.
August 2025 performance summary: Delivered substantial parser and integration improvements across intake-formats, automation-library, and documentation; expanded data-source coverage and event handling; strengthened testing and release hygiene; reduced maintenance surface by deprecating legacy integrations; documented Barracuda integration; and advanced architecture for VisionOne and Zscaler integrations. These efforts improved data quality, reliability, and speed of automation delivery.
August 2025 performance summary: Delivered substantial parser and integration improvements across intake-formats, automation-library, and documentation; expanded data-source coverage and event handling; strengthened testing and release hygiene; reduced maintenance surface by deprecating legacy integrations; documented Barracuda integration; and advanced architecture for VisionOne and Zscaler integrations. These efforts improved data quality, reliability, and speed of automation delivery.
July 2025 Monthly Summary: Expanded data ingestion and parsing coverage across SEKOIA-IO repositories, delivering broader security telemetry, improved data quality, and strengthened test and code quality to support scalable operations and faster threat detection. Key features delivered: - Expanded ingestion and parsing across major integrations: CyberArk LEEF events, AWS WAF, Palo Alto NGFW AUTH events, Mimecast, Proofpoint, Wallix, HAProxy, and Fortigate, enabling richer telemetry with minimal integration friction. Major bugs fixed: - Fixed critical data-model and parsing issues: user fields handling, smart descriptions generation, host.ip parsing, syslog header removal, and cross-product referrer parsing. Overall impact and accomplishments: - Improved data fidelity and coverage across security telemetry, reduced false positives from parsing, and more reliable detections; enabled faster investigation and response; and increased maintainability through linting and tests. Technologies/skills demonstrated: - Advanced data parsing and field normalization across multiple formats, extensive unit/integration testing, code quality improvements (lint fixes), and cross-product integration work; documentation updates to reflect feature changes and beta guidance.
July 2025 Monthly Summary: Expanded data ingestion and parsing coverage across SEKOIA-IO repositories, delivering broader security telemetry, improved data quality, and strengthened test and code quality to support scalable operations and faster threat detection. Key features delivered: - Expanded ingestion and parsing across major integrations: CyberArk LEEF events, AWS WAF, Palo Alto NGFW AUTH events, Mimecast, Proofpoint, Wallix, HAProxy, and Fortigate, enabling richer telemetry with minimal integration friction. Major bugs fixed: - Fixed critical data-model and parsing issues: user fields handling, smart descriptions generation, host.ip parsing, syslog header removal, and cross-product referrer parsing. Overall impact and accomplishments: - Improved data fidelity and coverage across security telemetry, reduced false positives from parsing, and more reliable detections; enabled faster investigation and response; and increased maintainability through linting and tests. Technologies/skills demonstrated: - Advanced data parsing and field normalization across multiple formats, extensive unit/integration testing, code quality improvements (lint fixes), and cross-product integration work; documentation updates to reflect feature changes and beta guidance.
June 2025 monthly summary: Delivered a set of high-impact features and reliability improvements across SEKOIA-IO's intake formats, documentation, and automation library. Key outcomes include implementing command-line event filtering and duration parsing to improve event selection and timing analysis, standardizing event outcomes across major integrations, refining metadata extraction and classification, and advancing time-range based event retrieval with a new TimeStepper flow. Additionally, containerized deployment was enabled via a Dockerfile, and documentation was expanded for Ubika Cloud Protector Next Generation and Vectra Respond UX integration to improve onboarding and usage. These changes drive faster onboarding, more accurate detections, reduced noise, and improved operational resilience across teams.
June 2025 monthly summary: Delivered a set of high-impact features and reliability improvements across SEKOIA-IO's intake formats, documentation, and automation library. Key outcomes include implementing command-line event filtering and duration parsing to improve event selection and timing analysis, standardizing event outcomes across major integrations, refining metadata extraction and classification, and advancing time-range based event retrieval with a new TimeStepper flow. Additionally, containerized deployment was enabled via a Dockerfile, and documentation was expanded for Ubika Cloud Protector Next Generation and Vectra Respond UX integration to improve onboarding and usage. These changes drive faster onboarding, more accurate detections, reduced noise, and improved operational resilience across teams.
In May 2025, cross-repo parser and ingestion improvements across SEKOIA-IO/intake-formats, SEKOIA-IO/automation-library, and SEKOIA-IO/documentation delivered richer data, standardized formats, and improved reliability. Highlights include enhanced Trellix EPO and HarfangLab parsers, Lookout MES and Office 365 ingestion enrichments, Ubika Cloud Protector Next Generation integration, and SSE streaming robustness with stability/upgrades. Additionally, CI hygiene was improved via parser YAML linting and unit test fixes, improving reliability for future releases.
In May 2025, cross-repo parser and ingestion improvements across SEKOIA-IO/intake-formats, SEKOIA-IO/automation-library, and SEKOIA-IO/documentation delivered richer data, standardized formats, and improved reliability. Highlights include enhanced Trellix EPO and HarfangLab parsers, Lookout MES and Office 365 ingestion enrichments, Ubika Cloud Protector Next Generation integration, and SSE streaming robustness with stability/upgrades. Additionally, CI hygiene was improved via parser YAML linting and unit test fixes, improving reliability for future releases.
April 2025 monthly summary focused on delivering high business value through data quality improvements, reliability enhancements, and expanded parsing capabilities across SEKOIA-IO repositories. Key outcomes include metadata enrichment, robust core parsing, and broader event support, enabling faster time-to-value for customers and more accurate threat detection.
April 2025 monthly summary focused on delivering high business value through data quality improvements, reliability enhancements, and expanded parsing capabilities across SEKOIA-IO repositories. Key outcomes include metadata enrichment, robust core parsing, and broader event support, enabling faster time-to-value for customers and more accurate threat detection.
March 2025 was a focused sprint on strengthening data ingestion quality, expanding parsing coverage, and improving developer and operator experience across SEKOIA-IO/intake-formats, SEKOIA-IO/automation-library, and SEKOIA-IO/documentation. The team delivered tangible business value by enabling richer context for investigations, faster targeted queries, and more reliable alerts, while also hardening code quality and maintainability through tests and dependency updates.
March 2025 was a focused sprint on strengthening data ingestion quality, expanding parsing coverage, and improving developer and operator experience across SEKOIA-IO/intake-formats, SEKOIA-IO/automation-library, and SEKOIA-IO/documentation. The team delivered tangible business value by enabling richer context for investigations, faster targeted queries, and more reliable alerts, while also hardening code quality and maintainability through tests and dependency updates.
February 2025 performance summary: Delivered scalable data ingestion and parsing improvements across SEKOIA-IO/automation-library, SEKOIA-IO/intake-formats, and SEKOIA-IO/documentation, paired with developer experience enhancements. Key deliverables include a Mimecast SIEM cursor transition with backward-compatible reading of old cursors and migration to page tokens, session fetch optimization with a new caching layer to reduce API calls, and extensive documentation/assets for ESET, Defender, and Outlook actions. A caching foundation was added via cachetools to enable broader in-process caching. Parsing and enrichment capabilities were broadened across intake formats (Windows parsing enhancements, Vade M365 URL extraction, Common Log Format support for Squid, plus multiple feature and small bug fixes to improve data quality). These efforts collectively shorten data-to-insight cycles, reduce operational load, and improve data fidelity for SIEM integrations, dashboards, and reports.
February 2025 performance summary: Delivered scalable data ingestion and parsing improvements across SEKOIA-IO/automation-library, SEKOIA-IO/intake-formats, and SEKOIA-IO/documentation, paired with developer experience enhancements. Key deliverables include a Mimecast SIEM cursor transition with backward-compatible reading of old cursors and migration to page tokens, session fetch optimization with a new caching layer to reduce API calls, and extensive documentation/assets for ESET, Defender, and Outlook actions. A caching foundation was added via cachetools to enable broader in-process caching. Parsing and enrichment capabilities were broadened across intake formats (Windows parsing enhancements, Vade M365 URL extraction, Common Log Format support for Squid, plus multiple feature and small bug fixes to improve data quality). These efforts collectively shorten data-to-insight cycles, reduce operational load, and improve data fidelity for SIEM integrations, dashboards, and reports.
January 2025 was focused on expanding automation, improving data parsing/integration quality, and strengthening developer tooling. Delivered new ESET actions, BeyondTrust automation integration, and Microsoft Outlook actions; enhanced Mimecast and Office 365 parsers for reliability and richer context; and implemented code quality improvements (linting, formatting, and type checking).
January 2025 was focused on expanding automation, improving data parsing/integration quality, and strengthening developer tooling. Delivered new ESET actions, BeyondTrust automation integration, and Microsoft Outlook actions; enhanced Mimecast and Office 365 parsers for reliability and richer context; and implemented code quality improvements (linting, formatting, and type checking).
December 2024 monthly summary: Delivered major enhancements to Vision One integration, introduced a new OAT data connector, and improved reliability, performance, and documentation. Focused on business value through stronger security telemetry ingestion, faster data retrieval, and clear user guidance.
December 2024 monthly summary: Delivered major enhancements to Vision One integration, introduced a new OAT data connector, and improved reliability, performance, and documentation. Focused on business value through stronger security telemetry ingestion, faster data retrieval, and clear user guidance.
November 2024 Highlights: Key features delivered: - Vade M365 events connector (automation-library) enabling ingestion and processing of Vade M365 events. Commit e78f3a10007e55c0938b2ab25fdf00e3739f1f11 - Expired indicators filtering to improve result relevance. Commit ffc612cba98defe9eefb6de9c988a10724b41db4 - Tehtris progress persistence for workflow continuity. Commit 79df54ff5fef016d720188960890658d3e015e44 - Sekoia SDK checkpoint usage to align with SDK lifecycle. Commit fc6f535de74881a64532520d42d619a5006fce87 - Trend Micro Vision One connector added, with parser/format enhancements and event-type support. Commits d910cd64d2afe5d9d02d84340545581cdf52501a, db978530c9756d0b397b872be52be2cb07b45727, 90a003cc629a1666e04ae08bd97a170fb0c27cfe - Event types and a shared rate limiter introduced.
November 2024 Highlights: Key features delivered: - Vade M365 events connector (automation-library) enabling ingestion and processing of Vade M365 events. Commit e78f3a10007e55c0938b2ab25fdf00e3739f1f11 - Expired indicators filtering to improve result relevance. Commit ffc612cba98defe9eefb6de9c988a10724b41db4 - Tehtris progress persistence for workflow continuity. Commit 79df54ff5fef016d720188960890658d3e015e44 - Sekoia SDK checkpoint usage to align with SDK lifecycle. Commit fc6f535de74881a64532520d42d619a5006fce87 - Trend Micro Vision One connector added, with parser/format enhancements and event-type support. Commits d910cd64d2afe5d9d02d84340545581cdf52501a, db978530c9756d0b397b872be52be2cb07b45727, 90a003cc629a1666e04ae08bd97a170fb0c27cfe - Event types and a shared rate limiter introduced.
October 2024 performance summary for SEKOIA-IO/intake-formats. Focused on delivering robust, scalable log ingestion across key data sources, improving parsing accuracy, and strengthening the test suite to reduce operational risk. The work directly enhances security telemetry quality, reduces ingestion errors, and accelerates onboarding of new formats.
October 2024 performance summary for SEKOIA-IO/intake-formats. Focused on delivering robust, scalable log ingestion across key data sources, improving parsing accuracy, and strengthening the test suite to reduce operational risk. The work directly enhances security telemetry quality, reduces ingestion errors, and accelerates onboarding of new formats.
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