Problem
AI agents do more than generate responses. They access files, APIs and business tools to take real actions. Traditional authentication alone cannot evaluate the contextual risk of each action.
AI Agent Security
AgentGate Labs
Runtime authorization for AI agents
A security product that controls agent and MCP tool calls with default-deny policies, human approval, risk scoring, secret redaction and append-only audit evidence.
official websiteProduct approach
AgentGate evaluates a tool call for identity, scope, risk and policy before execution. It routes high-risk actions to human approval, filters sensitive data and turns the decision path into auditable evidence.
My focus as founder and product developer
Clarify the problem, design a reliable product flow and take the system to production. I evaluate architecture together with security, operations and user value.
Video series
The AgentGate Labs approach in three short videos.
Hear the founder explain runtime authorization, human approval, audit evidence and the core decisions behind AI agent security.
Videos in this series03
Core capabilities
- Default-deny policy
- Human approval
- Risk scoring
- Secret redaction
- Append-only audit
- MCP controls