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.
Compliance Blind Spots
Auditors ask what your AI agents can access. You have no answer. No audit trail, no policy documentation, no way to demonstrate control.
GAL is the governance layer for AI coding agents
GAL sits between your organization and your AI coding agents. Define policy once, enforce everywhere, and maintain complete visibility into agent operations across Claude Code, Cursor, Copilot, and more.
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 compliance and security reviews.
Policy Enforcement
Block dangerous operations before they happen. Enforce guardrails on file access, shell commands, and network operations at the CLI level.
Compliance Ready
SOC 2, ISO 27001, and enterprise security requirements. Generate reports, demonstrate control, pass audits with documentation.
Three pillars of AI agent governance
GAL provides comprehensive governance through visibility, control, and compliance.
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. Enforce rules consistently across all platforms.
- Policy-as-code for agent permissions
- Command and file access restrictions
- Multi-platform policy translation
- Enforcement tier with active blocking
Compliance
Prove governance
Maintain audit trails, generate compliance reports, and demonstrate control to auditors and stakeholders. Aligned with the NIST AI Risk Management Framework.
- Complete audit logging
- Compliance dashboard and reports
- Policy version history
- SOC 2 and ISO 27001 ready
Govern all major AI coding agents
Define policy once, enforce everywhere. GAL translates your governance rules to each platform's native configuration format.
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.
Windsurf
Govern Windsurf rules, settings, and agent configurations.
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. Block dangerous commands, restrict file access, enforce security boundaries.
Audit Trails
Every config change, every policy update, every enforcement action logged and searchable. Compliance made simple.
CLI Integration
GAL wraps your existing AI agent workflow. Sync configs, check compliance, and enforce policies from the command line.
Automated Remediation
Detect misconfigured agents and automatically bring them back into compliance. Automation tier handles it for you.
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 with visibility, scale to enforcement and automation as your needs grow.
Convenience
Discover, centralize, and sync AI agent configs
- Auto-discover agent configs
- Centralized config management
- CLI sync tool
- Basic analytics
Enforcement
Policy enforcement at the CLI level
- Everything in Convenience
- Policy enforcement hooks
- Command blocking
- Audit logging
Automation
Automated compliance workflows
- Everything in Enforcement
- Automated remediation
- Custom workflows
- Advanced reporting
Enterprise
Full governance suite for large organizations
- Everything in Automation
- SSO/SAML
- Dedicated support
- Custom integrations
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, maintaining audit trails, and ensuring compliance with security standards.
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 compliance gaps. GAL provides centralized control.
How does GAL enforce governance policies?
GAL operates at multiple levels. The Convenience tier syncs approved configs to developers. The Enforcement tier adds CLI hooks that actively block operations outside approved boundaries. The Automation tier adds automatic remediation when misconfigurations are detected.
Which AI coding agents does GAL support?
GAL supports Claude Code, Cursor, GitHub Copilot, Windsurf, 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.
Is GAL SOC 2 and ISO 27001 compliant?
Yes. GAL provides the audit trails, policy documentation, and access controls required for SOC 2 and ISO 27001 compliance. The compliance dashboard generates reports for auditors.
Start governing your AI agents today
Deploy governance across your team in under 5 minutes. Start with the free tier.
Start Free Trial