April 2026 monthly summary for flowise: Implemented a security hardening feature by adding Mass Assignment Protection Utility for Dataset Operations, ensuring only allowed fields are processed and preventing mass assignment vulnerabilities in dataset handling. A related fix was applied to address mass assignment issues in Dataset and DatasetRow operations (commit 18bb02fcdcf87d2900f45a41509fca8759d5d9b7). This work strengthens data integrity, reduces security risks, and improves maintainability across the data ingestion path.

March 2026: Security hardening and data integrity improvements across FlowiseAI/Flowise and flowiseai/flowise. Implemented environment-driven HTTP deny list, restricted and validated LLM-generated Python imports with tests, secure HTTP request handling with deny-list checks, and mass-assignment fixes with workspace-scoped validation. These changes reduce attack surface for self-hosted deployments, prevent cross-tenant data manipulation, and strengthen overall product reliability.

February 2026 monthly summary for Flowise: Security hardening, reliability improvements, and governance enhancements across the Flowise repository. Increased defensiveness in data handling and exposure risk reduction, coupled with robustness in test coverage and configuration, to deliver safer, more reliable software for customers.