AI Governance Solution for Coding Agents
GAL is the governance layer for AI coding agents. Config discovery, policy enforcement, audit trails. Govern Claude Code, Cursor, Copilot from one dashboard.
Ungoverned AI agents create risk
AI coding agents operate with broad permissions. Without governance, every session is a potential security incident waiting to happen.
Shadow AI Operations
Developers grant permissions that security never approved. Agents access sensitive files, execute dangerous commands, and exfiltrate data without oversight.
Configuration Chaos
Every developer configures their AI agent differently. No consistency, no standards, no visibility into what agents are actually doing across your organization.
No Change History
When an agent's configuration changes, nobody can say what changed, who changed it, or when.
GAL is the governance layer for AI coding agents
GAL sits between your organization and your AI coding agents. Define policy once as one canonical ruleset for Claude Code, Cursor, Copilot, and more, with visibility into agent operations (cross-agent install and per-tool blocking enforcement are in active development).
Centralized Control
Define your organization's approved AI agent configurations in one place. Policies flow to every developer, every project, every agent.
Complete Visibility
See every agent session, every config change, every policy enforcement action. Full audit trails for security reviews.
Policy Enforcement
Define guardrails for file access, shell commands, and network operations as one canonical ruleset. Active blocking at the CLI level is coming in v1.0.
Versioned Configuration
Approved agent configuration is versioned and synced with one command, with a history of who changed what and when.
Three pillars of AI agent governance
GAL provides comprehensive governance through visibility, control, and an audit trail.
Visibility
See everything
Auto-discover all AI agent configurations across your repositories. Know what agents exist, what they can do, and who configured them.
- Auto-discovery of CLAUDE.md, .cursorrules, copilot instructions
- Dashboard view of all agent configs by repo
- Change tracking and version history
- Session activity monitoring
Control
Define boundaries
Set organization-wide policies for what AI agents can and cannot do. Standardize rules consistently across all platforms (active blocking coming in v1.0).
- Policy-as-code for agent permissions
- Command and file access restrictions
- Multi-platform policy translation
- Active blocking (coming soon)
Audit Trail
Know who changed what
Keep every approved agent configuration as a version, with a history of who changed what and when.
- Versioned agent configuration
- History of who changed what, and when
- Approved config synced with one command
Govern all major AI coding agents
Define policy once as a canonical ruleset. Translating it to each platform's native configuration format (cross-agent install) and per-tool blocking enforcement are in active development.
Claude Code
Govern CLAUDE.md, settings.json, custom commands, and agent definitions.
Cursor
Control .cursorrules, .cursor/settings, and Cursor-specific permissions.
GitHub Copilot
Manage Copilot instructions, suggestions, and repository settings.
Gemini Code Assist
Control Gemini agent settings and instruction files.
Codex
Manage Codex configurations and agent behaviors.
AI governance features
Everything you need to govern AI coding agents across your organization.
Config Discovery
Auto-discover all AI agent configurations across your repositories. CLAUDE.md, .cursorrules, copilot instructions, and more.
Config Sync
Push approved configurations to every developer with a single CLI command. Keep everyone aligned with organizational standards.
Policy Enforcement
Define guardrails for what agents can do — dangerous commands, file access, and security boundaries — as one canonical ruleset. Active blocking is coming in v1.0.
Audit Trails
Every approved config change is versioned, with a history of who changed what and when.
CLI Integration
GAL wraps your existing AI agent workflow. Sync approved configs and install policy hooks from the command line (active blocking coming in v1.0).
Automated Remediation
Detect misconfigured agents and surface the drift; one-click remediation back to the approved config is coming in v1.0.
AI Agent Management
Manage AI agents across your organization with centralized controls, role-based permissions, and real-time visibility into agent activity.
Centralized Inventory
See all AI agents connected to your organization in one dashboard. Track which agents are active, who configured them, and what permissions they have.
Role-Based Access
Control who can configure AI agents. Assign admin, developer, and viewer roles to manage permissions across your team.
Session Monitoring
Track active agent sessions in real time. See what repositories agents are working on, what commands they are executing, and when sessions end.
Configuration Templates
Create approved configuration templates for different project types. Developers apply templates with a single command, ensuring consistency.
Governance for every team
Start free with discovery and sync. Enforcement tiers are coming soon: see every tier.
Free
Find, standardize, and sync your AI agent configs
- Up to 5 developers
- Agent-config discovery
- Standardize on one approved config
- Sync approved configs from the CLI
- Local warn-only enforcement: reports what would be blocked, blocks nothingComing soon
Convenience
The team tier: your GitHub organization on one approved config
Everything in Free, plus:
- Unlimited developersComing soon
- GitHub App integration
- Team approvals: developers propose config changes, admins approveComing soon
- Tamper-evident local audit logComing soon
Frequently asked questions
What is AI agent governance?
AI agent governance is the practice of controlling and monitoring how AI coding agents operate within an organization. It includes defining what agents can do, enforcing policies, and maintaining audit trails.
Why do I need AI governance for coding agents?
AI coding agents like Claude Code and Cursor have broad permissions to read files, execute commands, and access your codebase. Without governance, every developer configures their agent differently, creating security risks and configuration drift. GAL provides centralized control.
How does GAL enforce governance policies?
GAL syncs approved configurations to developers and provides visibility into agent configurations across your organization. Policy enforcement and automated remediation are on the roadmap.
Which AI coding agents does GAL support?
GAL supports Claude Code, Cursor, GitHub Copilot, Gemini Code Assist, and Codex. You define policies once, and GAL translates them to each platform's native configuration format.
Does GAL replace my AI coding agent?
No. GAL is a governance layer that works alongside your AI coding agents. Your developers continue using Claude Code, Cursor, or Copilot as normal. GAL ensures they all operate within approved boundaries.
How long does it take to implement GAL governance?
Most teams are up and running in under 5 minutes. Install the GAL CLI, connect your GitHub organization, and your team can start syncing approved configurations immediately.
Start governing your AI agents today
Deploy governance across your team in under 5 minutes. Start with the free tier.
Start Free Trial