Middleware vs Sidecar: two ways to govern AI agents
📰 Dev.to AI
Governance layers for AI agents can be achieved through middleware or sidecar approaches
Action Steps
- Identify the AI agents and their permission models
- Determine the requirements for governance and policy enforcement
- Choose between middleware and sidecar approaches based on the system architecture
- Implement the chosen approach to enforce rules and keep a trace
Who Needs to Know This
DevOps and AI engineers can benefit from understanding the differences between middleware and sidecar approaches to govern AI agents, as it helps in implementing a unified policy and traceability
Key Insight
💡 Both middleware and sidecar approaches can be used to govern AI agents, but the choice depends on the system architecture and requirements
Share This
🤖 Governance for AI agents: middleware vs sidecar. Which approach is right for you?
DeepCamp AI