OpenBox

See, verify, and govern every agent action.

Developer Tools

Artificial Intelligence

Security

Oh, we’re actually using LangChain. We’ll review your service with the team, it sounds very useful.

@tahir_mahmood8 Congratulations. And happy product launch.

I've been dealing with audit nightmares from our ML ops team and that OPA policy engine integration could actually save us months of compliance work it seems.

I've been thinking about this space a lot lately and honestly most governance solutions I've seen are either too heavyweight for dev teams or just basic logging that doesn't actually prevent anything bad from happening.

How does this handle the performance hit when you're doing real-time policy checks on every agent action, especially for high-frequency workflows where latency actually matters?

Stoked to see this launch, the cryptographic audit trails piece is what really caught my attention here. How do you handle the performance overhead when you're signing every single agent action in a high-throughput environment?

Huge congratulations @natsuda_uppapong @phaituly @tonyopenbox on shipping this. How does the cryptographic verification works when you need to halt an action mid-execution, does the signature still get created for the attempted action that got blocked?

I'm wondering how the cryptographic verification works when an agent pulls from multiple data sources with different permission levels in a single workflow?

@tahir_mahmood8 @asim_ahmad_cfa @grover___dev Congrats on the launch... lets presume you were to explain this product to someone with minimal technical knowledge as it relates to use case within a business (a business that uses AI but isn't too deep into the compliance / governance side of how this works) - how would you go about outlining the use case.... asking for a friend!

This is a problem that does not get enough attention yet. Everyone is focused on making agents more capable, but the question of "how do you prove they acted within policy" is going to matter a lot more as agents start touching real workflows at scale.

The cryptographic verification angle is interesting. Most governance approaches I have seen are audit logs after the fact. Proving compliance at the point of execution is a different thing entirely.

Question: how does OpenBox handle governance for agents that are pulling context from multiple systems with different access policies? For example, an agent that reads from both a public knowledge base and a restricted HR system in the same workflow. Does the governance layer enforce per-source permissions, or is it more at the action level?

Cryptographic verification of agent actions is the interesting piece here. What exactly is being signed — the prompt, the tool call, the output, all of the above? And when you say 'verify,' is that post-hoc audit trail or can you actually halt an action mid-execution if it fails a policy check?

Love the direction here. Are you targeting enterprise use cases first or keeping it flexible for smaller teams as well?

Very good to see you guys live, How are you handling policy enforcement across different agent frameworks without adding latency?

Congrats on the launch BTW 🎉

Do you think openbox or other similar tools in future will become a standard layer in every agent stack, like auth or logging today?

Nice work on this. How does it integrate with existing agent frameworks like LangChain or similar tools?

What Tahir has laid out here is what we have been building toward: a platform that governs every agent action at the point of execution, with full observability and cryptographic proof, from day one. If you are building with agents and want to understand how it works technically, happy to answer everything here.

The scale at which AI agents are being deployed today makes this the right moment for OpenBox. Runtime governance, cryptographic verification, enterprise-grade compliance - available to every organisation, from day one. Proud to be part of this.

Super excited to see OpenBox live. Would really appreciate any thoughts and feedback.