Autonomous AI Agents and Proxies (2026)
Proxies help manage network access for AI agents, distribute requests, and control connection geolocation—but they cannot protect against incorrect decisions made by the agent itself.
🔥 Key capabilities:
- Routing traffic through a controlled gateway
- Distributing load across IP pools
- Geotargeting for localized data
- Centralized monitoring of network sessions
⚡️ Which proxies to use:
- Rotating residential proxies → scraping and large-scale data collection
- Backconnect proxies → long-running processes with automatic IP rotation
- Static ISP proxies → stable sessions and authentication
- Mobile proxies → browser-based agents and platforms with high trust requirements
Proxies make the network activity of AI agents more predictable and manageable, but security also requires permission controls, logging, approval for critical actions, and isolated environments.
Read more in our blog
Proxies help manage network access for AI agents, distribute requests, and control connection geolocation—but they cannot protect against incorrect decisions made by the agent itself.
🔥 Key capabilities:
- Routing traffic through a controlled gateway
- Distributing load across IP pools
- Geotargeting for localized data
- Centralized monitoring of network sessions
⚡️ Which proxies to use:
- Rotating residential proxies → scraping and large-scale data collection
- Backconnect proxies → long-running processes with automatic IP rotation
- Static ISP proxies → stable sessions and authentication
- Mobile proxies → browser-based agents and platforms with high trust requirements
Proxies make the network activity of AI agents more predictable and manageable, but security also requires permission controls, logging, approval for critical actions, and isolated environments.
Read more in our blog