Network security
for the AI era.

Why we started Bind

AI agents now do real work inside companies. They write code, query databases, and change production systems, often on behalf of someone who never sees each step. The database sees a service account. Security teams are left asking who started the work, what data reached a model, and why an action was allowed.

AI’s risk and reward need a control point. The AI security challenge is a network security challenge: every person and every agent, on any device or in any cloud, crosses the network to reach a model, a tool, or your data. That makes the network the one place to see and control what humans and AI agents do.

What we believe

• Every action has an owner. Each action an agent takes should trace back to the human who started the work, across every tool it touched.
• Decide by intent, not just destination. Policy should judge what the actor is trying to do in the session, in rules you can write the way you’d say them.
• One policy, one record, for humans and AI agents. Not another product, connector, and rule for every new AI tool.
• Decisions belong where the work happens. People should see why a session paused and decide inside the tool they’re using: the terminal, the app, or the agent’s browser.

Who we are

Bind is a product of Bind Networks and is currently in stealth. Bind runs beside your existing SASE, endpoint, and gateway tools rather than replacing them, and you can start with one app or one group.