Al Agent Management – Govern, Secure and Control Your Al
Gravitee’s AI Agent Management – Brings robust governance, security, and control to all your AI agents, LLMs and MCP servers — built on the protocols you already trust.
Step into real scenarios where AI agents are actually doing work like making LLM calls, using tools, and interacting with other agents — all under proper security and governance. Just click and explore.It’s not a demo for the sake of it. It’s how real AI systems should behave.
AI Agent Management Features
Standardize and secure access to all your language models.
- Connect to multiple LLM providers through one unified interface
- Enforce token limits, guardrails,usage policies like PII and semantic cache centrally
- Monitor latency, performance, and cost in real time
- Gain full visibility into every LLM request and response via dashboards
Make your APIs and tools seamlessly usable by agents.
- Expose APIs as agent-ready tools using MCP standards
- Standardize how agents discover and invoke tools
- Apply validation, governance, and access control to tool usage
- Ensure reliable and consistent tool execution across workflows
Secure and control how agents communicate with each other.
- Govern agent-to-agent interactions with full visibility
- Enforce authentication, authorization, and policies
- Track multi-agent workflows end-to-end
- Prevent uncontrolled or unsafe agent behavior
Turn your backend services into reusable agent tools.
- Convert APIs into structured, reusable agent tool
- Enable seamless integration between agents and systems
- Standardize tool definitions and execution patterns
- Accelerate development with ready-to-use tool interfaces
Centralize and manage all your agents in one place.
- Discover, reuse, and share agents across teams
- Define ownership, versioning, agent skills and lifecycle management
- Reduce duplication and improve collaboration
- Maintain a single source of truth for all agents
Bring zero-trust security to agent ecosystems.
- Enforce fine-grained access control for agents and tools
- Implement context-aware authentication and authorization
- Unify identity across LLMs, agents, and APIs
- Secure every interaction with zero-trust principles
Manage AI Agents with Confidence
Enterprise-Grade Security for AI Agents
Protect sensitive data and ensure every agent interaction is governed by strict access controls and security policies. Safeguard your systems against unauthorized behavior while enabling safe and scalable AI adoption across teams
Centralized Control Over AI Operations
Bring all your agents, tools, and AI interactions under a single control plane via LLM, MCP and A2A proxies. Define and enforce enterprise-grade policies, manage usage boundaries, and ensure every action aligns with your organization’s standards and compliance requirements.
End-to-End Visibility Across AI Workflows
Gain complete insight into how agents operate, interact, and make decisions. Monitor performance, trace workflows, and quickly identify issues with full transparency across your entire AI ecosystem.
Unified and Flexible AI Ecosystem
Seamlessly connect agents, models, and systems within a consistent framework that adapts to your existing architecture. Enable interoperability without adding complexity, so teams can innovate faster without fragmentation.
