dbward Secures Production Databases for AI Agent Operations
TL;DR. dbward introduces an open-core solution to implement approval workflows and audit trails for production databases specifically designed for AI agents. - The system integrates AI agent guardrails, context-aware SQL safety reviews, and multi-step approval processes. - It offers standalone binaries for CLI, server, and agent components with embedded SQLite, ensuring agent isolation. - Core features, including approvals, audit logs, and break-glass emergency bypass, are available under an Apache-2.0 license.
- dbward provides approval workflows and audit logs for production databases, specifically for AI agents.
- It features AI agent guardrails, context-aware SQL safety review, and automated schema context.
- The system uses standalone Rust binaries for CLI, server, and agent, ensuring database credentials stay with the agent.
- Multi-step, conditional auto-approve, and TOML policy engine manage approval flows.
- Core functionalities are open-source (Apache-2.0), with team features under a commercial license.