Midlantics A2A
Observe, govern, and protect your AI agent systems
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Yusuf Shayusupov

Midlantics A2A - Observe, govern, and protect your AI agent systems

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Your agents are running. Do you know what they did last night? Midlantics A2A is a governance layer for multi-agent AI systems — four modules that work independently or together: → Observe — tracing for agent action. Open source. → Policy — YAML rules that block or flag agent. → Approval — human gate for high-risk actions. Notified email. → Firewall — scans every message for prompt injection and PII before it reaches your LLM. Under 2ms, runs locally. VPC-native. No data leaves your perimeter.

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Yusuf Shayusupov
Maker
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Hey Product Hunt 👋 I built Midlantics A2A because teams shipping AI agents in production kept hitting the same four walls: 1. No visibility — when something goes wrong, there's no trace, no log, no way to reconstruct what the agent did 2. No authorization — agents inherit whatever permissions the API 3. No human override — high-stakes actions execute at machine speed with no pause point 4. No threat protection — prompt injection is the SQL injection of the AI era and most teams have zero detection A2A addresses all four. The Observe module is open source (Apache 2.0) and free forever — it's the starting point because you can't govern what you can't see. The other three modules are paid, but Observe alone is genuinely useful and takes about 10 lines of code to add to any agent framework. The architecture is VPC-native by design. We talked to enough enterprise teams early to know they'll never pipe agent traffic through a third-party cloud. Everything runs inside your perimeter. How it works demo: https://a2a.midlantics.com/demo What I'd love feedback on: what's the governance problem your team hit first? Was it the audit trail, the authorization model, something else entirely? That feedback directly shapes what we prioritize next.