April 2026 monthly summary: Focused on governance, traceability, and AWS integrations across two repositories. Delivered feature work including a CloudTrail trusted service preflight check in lacework/go-sdk and PR template enhancements to improve traceability in both lacework/go-sdk and lacework/terraform-aws-config. No major bugs fixed were recorded in this period based on available data.

March 2026: Delivered user-focused improvements and security enhancements across lacework/go-sdk and lacework/terraform-aws-config. Key outcomes include improved CLI discoverability for installed components, stabilised CI test runs through temporary test deactivation, and strengthened Terraform configuration security scanning by swapping tfsec for Trivy. These efforts reduce onboarding friction, increase CI reliability, and elevate code-security standards across SDK and infrastructure workflows.

Month: 2026-01 | Repository: lacework/go-sdk | This month focused on branding alignment, preflight reliability, and cross-cloud integration improvements. Delivered two new features and resolved two critical issues to improve stability and user onboarding.

December 2025 (Month: 2025-12): Focused on simplifying the AWS Sidekick data model in lacework/go-sdk, delivering a cleaner API surface and improved maintainability. Primary effort was removing the scanShortLivedInstances boolean from the AwsSidekickData and AwsSidekickOrgData structures, along with updating related tests. This refactor reduces code complexity and future maintenance risk, enabling faster iterations on AWS-sidekick functionality. No major bugs fixed this month; the work was dominated by refactor and test alignment with the new model.

November 2025 (lacework/go-sdk) focused on delivering secure, compliant preflight checks across leading cloud providers and refining region visibility to support production deployments. Key work included enabling and validating necessary permissions for preflight checks on GKE/EKS audit logs and AWS agentless checks, and implementing Azure region filtering to surface only production-ready GA regions. These changes reduce preflight failures, improve deployment confidence for multi-cloud environments, and strengthen compliance posture.

Delivered cross-cloud audit log integration for GKE (GCP) and EKS (AWS) with updated preflight checks and Terraform generation (outputs and provider options), strengthening operational governance and deployment reliability. Fixed maintenance items: updated the support contact email to cs@fortinet.com across the go-sdk repo and error messages; stabilized GCP preflight tests by using GreaterOrEqual for region checks, reducing flakiness. Impact: improved security/compliance, reduced deployment risk, clearer support channels, and more reliable preflight validation.

September 2025 (lacework/go-sdk): Delivered two feature-focused enhancements with documentation and test updates. No major bugs documented for this month; work prioritized business value through clearer policy creation UX and streamlined FortiCloud credential onboarding. Technical work spanned Go source adjustments, CLI UX, file parsing, and validation improvements, with cross-cutting documentation updates to reflect changes across code, docs, and tests.

Summary for 2025-08: Delivered three value-driven enhancements in lacework/go-sdk, focusing on security, multi-cloud integration, and deployment stability. Azure Agentless scanning integration in generate command enables agentless scanning workflows with new configuration prompts and updates to Terraform modules. Added network access controls for Azure storage account activity logs with automatic IP detection, reducing misconfigurations. Pinning Terraform AWS provider to ~>5.0 and adding tests improves deployment predictability and reliability. These changes collectively reduce setup friction, strengthen security governance, and improve cloud deployment reliability for customers.

July 2025: Delivered two key enhancements in lacework/go-sdk that strengthen security controls and observability. Implemented wildcard-enabled Azure permission validation and introduced an ObservationTimeline scope for alerts in the CLI, including API endpoints and documentation. The changes include a refactor to fetch role definitions by ID and compare role names, improving reliability and scalability of permission checks. These efforts improve security accuracy, reduce investigation time, and provide deeper visibility into observed events, setting a solid foundation for future permission management and CLI enhancements.

June 2025 monthly summary for lacework/go-sdk focusing on delivering user-centric cloud account integration capabilities, Azure preflight validation, and agentless workflow reliability. Key work includes UX refactors for GCP cloud-account generation to streamline prompts, validation, and guidance across agentless, configuration, and audit log integrations; introduction of Azure preflight checks with dependencies and tests; and addition of an Azure VNet quotas preflight check in Agentless mode to prevent quota-related failures. These changes leverage Go, Azure SDKs, and a structured preflight framework to reduce configuration errors, improve feedback loops, and harden agentless operations.

May 2025 monthly summary for lacework/go-sdk emphasizing UX and API surface improvements for Azure cloud account setup in the Lacework CLI. Key focus was on delivering a tangible UX refactor that simplifies Azure configuration, activity logs visibility, and subscription management within the CLI, aligning with onboarding efficiency and end-user satisfaction.

March 2025 performance summary: Delivered OS Parameter Support for Agent Access Token creation in lacework/go-sdk, enabling OS-specific configurations and finer-grained access control for agent deployments. This work enhances security posture, reduces misconfigurations, and supports cross-OS deployment workflows. No major bugs were fixed this month. The effort leveraged Go SDK improvements, CLI integration, and cross-repo collaboration to deliver a concrete, scalable token-management feature.