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.
I was just wondering what the plan is regarding how the teams implementing this work in shared repositories and CI pipelines because that’s where all the scary automation takes place.
Security usually gets added after something goes wrong. Building it directly around agent actions feels like a much better approach.
Would be interesting to see integrations with CI/CD environments where agents can operate but have tightly controlled permissions and policies.
Finally, something that gives me a reprieve from "approval for every single thing." This is something I have experienced as a "nervous parent" with Cursor for several months now.
Congratulations on the launch!
I have been depending on Claude hooks with an extensive dangerous-pattern-matchers to ensure nothing untoward is happening. Working so far but takes an effort to maintain. Keen to try this out!
Congratulations on the launch @pushpak_pujari1 ! Excited to try out Harden finally.
this is increasingly important with the explosion of tools calls in virtually every task enterprises handle
“Trust but verify”… i need this automated. Harden seems to be exactly that…
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.
Companies have always had risk and compliance as separate functions from product and business development because their incentives are at odds. Risk team looks at risk adjusted long term reward, but biz-dev indexes on shorter term rewards. In a similar way, the same system can't both be the coding agent, and the security agent. That's why Harden is needed
Hi, i liked that it checks the tool call before it runs, not another approve-everything popup. i mash allow in cursor all the time when i'm moving. not sure if i'd just start ignoring this too if it fires on every small edit.
Very cool product. Just gave it a spin and I think this is gonna just stick to the part of tools I use! Good going team.
Very timely for managing critical safety of coding agents. Many congratulations on the launch 🚀🚀🚀
congrats on the lauch Harden. really appreciate that this run fully locally to keep repos and outputs secure. are there specific developer environments or frameworks like Langchain or Autogen. it is integrates best out of the box?
A few days in.
Small thing that turned out not to be small. I've stopped flicking back to the terminal to check what my agent is doing. Used to do it constantly. Now I just don't.
Wasn't expecting the main benefit to be "worrying less," but it has actually made me more productive to just focus on the next task.
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 ?
Hey team! Congrats on the launch day. I like the supporting of multiple agents instead of concentrating on some one. More practical aaproach! Best of luck today!
An interesting tool, and I like that fact that its fully local. When a tool attempts to run a script, does it also look at the contents of the script for anything malicious? Curious to know at what level the policy is affected at, whether it is at the tool invocation level, or a few levels below it as well... Good luck with the launch!
About Harden on Product Hunt
“A security layer for AI coding agents”
Harden launched on Product Hunt on September 9th, 2026 and earned 353 upvotes and 93 comments, earning #2 Product of the Day. 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 was featured in Developer Tools (519k followers), Artificial Intelligence (478.1k followers) and Security (2.9k followers) on Product Hunt. Together, these topics include over 208.3k products, making this a competitive space to launch in.
Who hunted Harden?
Harden was hunted by Rohan Chaubey. 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.
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I was just wondering what the plan is regarding how the teams implementing this work in shared repositories and CI pipelines because that’s where all the scary automation takes place.