Maetra
Maetra is an AI governance and compliance control plane for teams operating tool-using AI agents. Discover inventories agents and capabilities; Comply maps systems to applicable frameworks and keeps reusable evidence current; Govern evaluates consequential actions against versioned policies and routes human approval when required. Secure scans prompts, messages, model outputs, and tool calls for prompt injection, data exposure, unsafe actions, and policy violations. Task Guard detects task drift, scope changes, and mismatched effects. Interaction Guard protects supported browser-AI prompts and files, while Audit preserves linked decision, approval, runtime, and change evidence. Teams can adopt modules separately or together through the web app, REST APIs, SDKs, and MCP. A 14-day no-card trial is available, with paid plans from $20/month.
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Runlayer
Runlayer is an AI control plane for organizations deploying AI agents and related tools across engineering, security, IT, and business teams. It provides a governed catalog of approved MCP servers, connectors, skills, and agents, and routes agent tool calls through a policy-enforcing gateway. Administrators can discover AI clients and MCP activity, review session traces and audit records, and use configurable policies, approvals, and security scanners to monitor or block risky actions. Employees can create agents through supported AI clients using approved tools and scoped permissions, while teams manage adoption and usage. Runlayer connects AI clients, identity providers, device-management systems, and MCP servers, with hosted and self-hosted deployment options. It is designed for companies seeking centralized visibility, governance, and security as they roll out AI agents and workflows.
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Openlayer
Openlayer is an enterprise AI governance platform that helps organizations discover, test, monitor, secure, and control AI systems from development through production.
The platform brings AI evaluation, observability, governance, guardrails, compliance, gateway enforcement, and cost controls together in one place. Teams can evaluate LLMs, agents, RAG applications, and traditional ML systems using 175+ out-of-the-box evaluations across quality, safety, security, performance, cost, fairness, and compliance.
In production, Openlayer provides end-to-end tracing and continuous monitoring of AI behavior, including prompts, responses, tool calls, agent workflows, latency, and cost. Real-time guardrails can detect and block issues such as prompt injection, jailbreak attempts, PII or PHI exposure, and other unsafe behavior before it reaches a model or end user.
Openlayer Governance connects organizational AI policies to technical controls. Teams can maintain an AI inventory, assign own
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systemprompt.io
SystemPrompt is a self-hostable AI governance and runtime platform for organizations connecting AI clients, model providers, and tools. It provides a shared gateway and control plane for managing user and agent access, model routing, tool permissions, credentials, and policy checks. Requests and tool actions can be recorded in the organization's environment for audit and usage review. The platform supports connections to Anthropic, OpenAI, Google Gemini, and Groq, and uses the Model Context Protocol (MCP) to expose authorized tools to compatible clients. Teams can extend the runtime with agents, workflows, skills, and business-specific services, and deploy it through a binary, containers, or managed cloud tenants. SystemPrompt is intended for technical and security teams governing AI workloads. Local evaluation is free; production use and cloud hosting require commercial terms.
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