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Run autonomous AI agents securely with plain-English policy constraints.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ironcurtain" yet — see the docs or source repo.
Use ironcurtain to create a runtime policy for an autonomous AI agent that can access websites and local files. Define plain-English rules that forbid file deletion, block access to directories containing secrets, allow reading docs/ and src/, and allow only whitelisted domains. Provide an executable policy example.
A clear plain-English safety policy example specifying allowed and forbidden actions for runtime enforcement.
I have an autonomous AI agent with shell, web request, and database query capabilities. Using ironcurtain, design runtime restrictions based on least privilege: restrict dangerous shell commands, limit outbound network access, and make the database read-only. Explain what risk each rule reduces.
A least-privilege runtime policy with explanations of the risks mitigated by each restriction.
Draft an ironcurtain-style constitutional policy for a production customer support automation agent. Include: protecting user privacy, preventing unauthorized actions, escalating high-risk requests to humans, and logging key decision rationales. Output a structured list of clauses.
A structured constitutional policy that serves as high-level safety and behavior governance for a production agent.
Control autonomous AI agents with policies, approval gates, and audit trails.
Run AI agents with fine-grained access control and zero-setup brokering.
Intercept and block MCP tool calls with YAML policies for safer AI agents.
Adds human approval and policy checks to risky AI file operations.
Protect AI agents with kernel-level security, signing, and portable audit trails.
Preserve AI agent decisions, evidence, and code across sessions privately.