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Midlantics A2A
Observe, govern, and protect your AI agent systems
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.
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.
About Midlantics A2A on Product Hunt
“Observe, govern, and protect your AI agent systems”
Midlantics A2A was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #159 on the daily leaderboard. 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.
On the analytics side, Midlantics A2A competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 983.5k followers on Product Hunt. The dashboard above tracks how Midlantics A2A performed against the three products that launched closest to it on the same day.
Who hunted Midlantics A2A?
Midlantics A2A was hunted by Yusuf Shayusupov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Midlantics A2A including community comment highlights and product details, visit the product overview.
Yusuf Shayusupov