Runtime governance for cloud and homegrown agents.
Agents built on Amazon Bedrock AgentCore, Google Vertex AI, Azure AI Foundry, CrewAI or LangGraph run far from endpoint and browser tools. Netzilo runs inside the agent, so the same policy follows it to production.
Works with
Amazon Bedrock AgentCoreGoogle Vertex AIAzure AI FoundryCrewAILangGraph
The exposure
- Agents call models, tools and private APIs with service credentials
- No endpoint agent or browser sits in the path
- Customer input reaches the agent directly, injections included
- The platform logs actions; nothing judges them
What Netzilo does on day one
- Netzilo runs inside the agent's own runtime
- Every model and tool call attributed to the agent and its owner
- Private MCP servers and APIs reached over zero-trust access
- Unsafe actions blocked in-line, events streamed to your SIEM
How it works
See it. Detect it. Stop it.
Observe
Every run, model call and tool call.
Detect
Injection from user input, data exfiltration, attack chains.
Respond
Block the call or terminate the run.
Where it's enforced
Enforced in the path.
In-agent runtime
Inside cloud agents on Bedrock AgentCore, Vertex AI, Azure AI Foundry or CrewAI.
Zero-trust network
Private apps, MCP servers and APIs, reached by identity.
AI Gateway
One identity-aware door to every model and MCP server.
See Netzilo in your environment.
Start a trial, or schedule a technical briefing with our team.