AI Security Software & Coding Security
Runtime protection for Claude Code, Cursor, Copilot, and other AI coding agents. Block dangerous commands, restrict file access, and prevent security issues before they happen.
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/exfilCompliance Violations
Without audit trails and guardrails, AI agent actions violate SOC 2, HIPAA, and other standards.
No audit logGAL adds a security layer between agents and your systems
GAL intercepts every operation your AI agents attempt, classifies it against your security policies, and enforces rules in real-time. Think of it as a firewall for AI coding agents.
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 prevents AI agents from reading or exposing environment files, API keys, and credentials during code generation.
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
Block dangerous shell commands before they execute. Prevent rm -rf, curl | bash, sudo, chmod 777, and other risky operations.
rm -rfcurl | bashsudochmod 777> /dev/File Access Restrictions
Restrict which files agents can read, write, or modify. Protect .env files, secrets directories, credentials, and sensitive configuration.
.env.env.*secrets/*.pemcredentials.jsonNetwork Restrictions
Control which domains and endpoints agents can access. Prevent data exfiltration and unauthorized API calls.
Block: *.internalAllow: api.github.comBlock: attacker.comRuntime Enforcement
Policies are enforced in real-time at the execution layer. No agent modifications required. Works with Claude Code, Cursor, Copilot, and more.
InterceptClassifyEnforceLogHow AI security enforcement works
GAL intercepts operations at the runtime level, blocking threats before they can execute.
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
Based on classification, GAL allows, blocks, or logs the operation. Blocked operations are prevented before any damage occurs.
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
GAL blocks only explicitly dangerous operations. Normal coding workflows continue uninterrupted.
Customizable Policies
Define your own rules. Allow specific commands for your workflow while blocking general risks.
Audit & Review
Every blocked operation is logged. Review false positives and refine policies over time.
Compliance benefits for AI security
GAL helps organizations meet compliance requirements by providing security controls and audit trails for AI coding agents.
SOC 2
Demonstrate access controls, audit trails, and security policies for AI agent operations.
HIPAA
Prevent unauthorized access to PHI through AI agent guardrails and audit logging.
ISO 27001
Meet information security requirements with documented security controls for AI agents.
PCI DSS
Restrict access to cardholder data and maintain audit trails for AI-driven code changes.
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, data exposure, and compliance violations.
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, lack of audit trails, and compliance violations. AI agents can cause these issues at machine speed without proper controls.
Does GAL work with all AI coding agents?
GAL supports Claude Code, Cursor, GitHub Copilot, Windsurf, Aider, and other popular AI coding agents. The runtime interception layer works without agent modifications.
Does security enforcement slow down agents?
No. GAL adds less than 5ms of latency per operation. The overhead is negligible for interactive development workflows.
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.