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Description

Peta serves as an advanced control plane for the Model Context Protocol (MCP), streamlining, securing, governing, and overseeing how AI clients and agents interact with external tools, data, and APIs. This platform integrates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and comprehensive audit logging into a cohesive solution, enabling organizations to implement nuanced access controls, safeguard raw credentials, and monitor all tool interactions conducted by AI systems. At the heart of Peta is Peta Core, which functions as both a secure vault and gateway, encrypting credentials, generating short-lived service tokens, verifying identity and compliance with policies for each request, managing the MCP server lifecycle through lazy loading and auto-recovery, and injecting credentials during runtime without revealing them to agents. Additionally, the Peta Console empowers teams to specify which users or agents can access particular MCP tools within designated environments, establish approval protocols, manage tokens, and review usage statistics and associated costs. This multifaceted approach not only enhances security but also fosters efficient resource management and accountability within AI operations.

Description

SystemPrompt is a platform designed for organizations that enables self-hostable AI governance and runtime capabilities, facilitating connections between AI clients, model providers, and various tools. It offers a unified control plane and gateway for overseeing user and agent access, managing model routing, and ensuring appropriate permissions, credentials, and compliance checks. Additionally, the platform allows for the documentation of requests and tool actions within the organization for auditing and review purposes. With compatibility for connections to providers such as Anthropic, OpenAI, Google Gemini, and Groq, SystemPrompt employs the Model Context Protocol (MCP) to ensure that only authorized tools are accessible to suitable clients. The platform also empowers teams to enhance the runtime by incorporating agents, workflows, skills, and tailored business services, all deployable via binaries, containers, or managed cloud environments. Specifically designed for technical and security teams tasked with overseeing AI workloads, SystemPrompt not only offers local evaluation at no cost but also stipulates that production use and cloud hosting must adhere to commercial agreements. Furthermore, its flexible architecture allows organizations to adapt the platform to meet their specific operational needs.