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Harden AIF is a free, local security tool for AI coding agents. Its post-trained model checks tool calls before they run, using your request and session context. It beat frontier models on key agent-security benchmarks, while keeping your repo and tool output on your machine.
Harden
can finally run my coding agent in YOLO mode and walk away. AIF checks what it is doing and stops things that could go wrong, so I don't have to babysit it.
Harden
@anurag_arora6 Exactly. The goal is simple: we just want people to say that I trust my agent.
So I am having similar issues, But I have my own rule sets in Molt Code, Do you have some Client Server model rather than invasive one ?
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@junaid1460 As of now, no. But we do plan to ship a feature like that. Do let use know if you want something more!
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We built Harden after seeing how difficult it is to control what AI agents can access and do. As users ourselves, we wanted a simpler way to set policies, monitor activity, and deploy agents confidently.
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@ankitatproducthunt Exactly why we built Harden. Excited to see it finally in users’ hands
Lancepilot
Tough Tongue AI
This looks super useful for us. Congratulations on the launch team!
Harden
@aj_123 Thanks a lot, Ajitesh! Really appreciate that. Would love to hear your feedback and experience once you give Harden a try 🙌 If you face any issues, feel free to book a call with us. Our team would be more than happy to help get everything set up for you.
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@aj_123 Thank you and definitely try it out and let us know what you feel!
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@aj_123 Thank you, Ajitesh. Your support means a lot!
Harden
AIF is built for the moment you stop watching.
I learned why that matters while an agent was debugging a Stripe issue for me. It spent hours reading logs, editing code, running tests, and preparing diagnostic data. An earlier edit accidentally left customer email addresses in the final file, which the agent later tried to upload to Datadog.
AIF reasoned through the action, connected the upload to the earlier edits and files that produced it, stopped the transfer, and told the agent what needed to be fixed.
Let the agents cook. Keep secrets off the menu.
Harden
@rishav99 Exactly the kind of real-world scenario we built AIF for. Great example, Rishav, of why context-aware security matters.
“Trust but verify”… i need this automated. Harden seems to be exactly that…
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@animesh_agarwal1 100% aligned with you here, Animesh. These frontier agents have a 'mind' of their own that sometimes wants to be overly helpful but in that process, ends up making mistakes that can cost enterprises dearly. We built Harden to prevent overly eager agents (or malicious ones) from slipping off the rails and doing real damage.
Harden
@animesh_agarwal1 Love that framing and thanks a ton, Animesh. That’s exactly what we’re trying to make effortless with Harden 🙌