TapPass SDK

TapPass is a control plane designed to manage and secure the actions of AI agents in production environments. It addresses the challenge of ensuring trust and oversight when deploying AI that can act autonomously, by providing a unified set of rules and controls that apply across all agents in an organization. The platform allows teams to define business rules, enforce compliance, and maintain human oversight for critical decisions, ensuring that every AI action is visible, auditable, and governed according to organizational standards.

Key features of TapPass include real-time visibility into every action taken by AI agents, the ability to enforce business rules and tone of voice, and automated routing of tasks to the most appropriate AI model based on requirements such as cost and complexity. The system supports holding certain actions for human approval, particularly for high-stakes tasks, and enables organizations to pause or block actions that do not meet predefined criteria. TapPass also provides detailed audit logs, making it possible to trace which agents accessed specific data or performed particular actions, supporting regulatory and compliance needs. The platform can flag sensitive data, such as customer information or credentials, before it leaves organizational boundaries, enhancing data protection.

TapPass is designed to integrate with existing AI models, frameworks, and enterprise systems without requiring significant changes to the current technology stack. It acts as an intermediary layer between AI agents and the systems they interact with, connecting through a single address and supporting existing authentication and regional configurations. The platform is open by design, emphasizing compatibility and avoiding vendor lock-in. It lists compatibility with AI providers such as OpenAI, Anthropic, Mistral, and Bedrock, and can sync with systems of record like SIEM, data warehouses, CRM, and SSO solutions.

The tool is positioned for organizations deploying AI agents at scale, particularly where trust, compliance, and oversight are critical. It is intended for teams responsible for AI governance, data protection, and operational risk management.