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Chloros — AI agent security
Security for your own AI agents — before they act, not after
You're running AI agents that send email, move money, touch files. The moment an agent can act, a bad instruction becomes a bad action — with no undo. Most tools log what happened after the fact. Chloros is a gate outside your agent that checks each action before it fires: scan skills before you install, hold irreversible actions (money, sends, deletes) for your approval, rewind or kill when needed. Built for people running their own agents — not the enterprise. Free to try.
Hey Product Hunt 👋
I built Chloros because I kept hitting the same thing running my own agents: the moment an agent can act — send an email, move money, touch a file — a bad instruction stops being a bad answer and becomes a bad action. Something happens, and there's no undo.
Everyone's answer is "put a rule in the prompt." I tried that. It doesn't hold — a rule in the prompt is just another input the model weighs, and under enough pressure, finishing the task wins. I watched an agent quote my own "don't do this without approval" rule back to me, then do it anyway.
So I stopped trying to instruct the agent and moved the check outside it. Chloros scans skills before you install them, gates irreversible actions with a check the agent can't argue with, and lets you rewind or kill things when they go wrong.
The tools that do this well are all enterprise — SOC 2, sales calls, security teams. I wanted something for the rest of us: the person running their own agents who just doesn't want to get burned.
Two honest things: it's a strong layer, not a magic shield — the scanner is a signal, not a guarantee, and I say so in the product. And I'd genuinely love your critical feedback. If you run your own agents, I want to know where this holds up and where it doesn't.
I'll be here all day. Thanks for taking a look 🙏
Love that the approval gate focuses on irreversible stuff like money and sends instead of nagging about every little thing. That kind of restraint in the UX is basically what makes it feel built by people who actually use these agents themselves.
A dry-run mode would be huge, like a simulation view that shows exactly what an agent plans to do before any approval prompt fires. Helps catch weird side effects from chained skills without putting real actions on pause every single time.
About Chloros — AI agent security on Product Hunt
“Security for your own AI agents — before they act, not after”
Chloros — AI agent security was submitted on Product Hunt and earned 0 upvotes and 5 comments, placing #121 on the daily leaderboard. You're running AI agents that send email, move money, touch files. The moment an agent can act, a bad instruction becomes a bad action — with no undo. Most tools log what happened after the fact. Chloros is a gate outside your agent that checks each action before it fires: scan skills before you install, hold irreversible actions (money, sends, deletes) for your approval, rewind or kill when needed. Built for people running their own agents — not the enterprise. Free to try.
Chloros — AI agent security was featured in SaaS (43.1k followers), Artificial Intelligence (473.8k followers) and Security (2.8k followers) on Product Hunt. Together, these topics include over 162.2k products, making this a competitive space to launch in.
Who hunted Chloros — AI agent security?
Chloros — AI agent security was hunted by Chloros Agent. 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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Chloros Agent