Multicorn: AI Agent Safety, Permissions, and Spending Controls

Teams deploying AI agents need oversight and control to prevent unauthorized actions and unexpected costs. Multicorn Shield serves as a trusted governance layer that sits between human users and AI agents, providing consent mechanisms, spending guardrails, and comprehensive activity tracking across all agent operations. The platform addresses four core requirements for safe agent deployment. Consent screens give users the ability to review and approve agent actions before execution, ensuring human oversight remains in the loop. Spending controls operate at multiple time horizons, allowing organizations to set per-transaction, daily, and monthly limits that prevent agents from exceeding predefined budgets. Activity logging creates a tamper-evident audit trail that records every action taken by every agent, capturing what happened, when it occurred, and the reasoning behind each decision. Permission scopes enable administrators to define granular, type-safe access controls that specify exactly which services and resources each agent can interact with, including Gmail, Calendar, Slack, and GitHub. The Shield dashboard consolidates all monitoring and management functions into a single interface, providing real-time visibility into agent activity, permission usage, and system-wide operations. Organizations can track every agent and every action from one centralized location. Multicorn Shield implements a single SDK that handles agent control, action tracking, and user communication. The system works with multiple AI agent platforms including OpenClaw, Claude Code, and GPT-5.3 Codex, offering consistent governance regardless of the underlying agent technology. The platform offers four pricing tiers tailored to different organizational needs. The Free tier accommodates solo developers and hobbyists with 1,000 actions per month. The Business tier removes action limits, adds unlimited activity logging, and includes priority email support for small teams. The Enterprise tier introduces role-based access control and advanced compliance features for mid-size companies. Custom pricing addresses the requirements of large organizations needing data boundary controls, dedicated infrastructure, and specialized security configurations. For teams new to AI agents, Multicorn Learn provides a free educational resource that explains agent fundamentals, operational mechanics, and safety practices without technical jargon. The platform markets itself with a commitment to transparent pricing with no hidden costs, allowing teams to start free and scale as agent usage grows.