Secure your Mac while building with AI. Plango monitors AI coding agents, protects sensitive files and secrets, blocks suspicious network activity, scans projects for vulnerabilities, and gives you control over what your agents can access. Powered by an on-device AI security model. Private by default.
Hey Product Hunt! 👋
I'm Fred, co-founder of Plango.
AI coding agents are incredible. They can read your code, run commands, install packages, access files, and communicate with the internet.
That's also what makes them terrifying from a security perspective.
We're giving AI agents increasingly powerful access to our machines, but very little oversight into what they're actually doing.
**So Rich and I built Plango. 🛡️**
Plango is a native macOS security suite built for developers using AI coding tools like Claude Code, Cursor, and Codex.
It runs a local AI security model that evaluates threats around three things: **data access, communication, and exposure** — the lethal trifecta of agent security.
Here's what Plango can do:
🔒 **Control agent access** — Restrict access to sensitive files, SSH keys, .env files, or even files marked with specific Finder color tags.
🌐 **Stop data exfiltration** — Monitor network activity, create block/allow lists, and control where apps and agents can communicate.
🔑 **Protect your secrets** — Move environment secrets into macOS Keychain.
🕵️ **Audit your Mac** — Review app permissions, privacy settings, startup items, and extensions.
🧩 **Scan skills and plugins** — Check agent skills and plugins for suspicious behavior.
🛠️ **Find vulnerabilities** — Scan projects across your Mac for security issues.
🤖 **Ask your security AI** — Investigate findings using a built-in AI assistant that runs locally, with options to use another local agent or your own API key.
📊 **See everything** — A dashboard of security events, requests, decisions, and blocked activity, with custom rules to make Plango work your way.
**A little about us:**
My co-founder Rich and I have a combined two decades of experience across cybersecurity, NLP, and AI. We're building Plango full-time because we believe AI-powered development is the future, while security and privacy must have a seat at the table.
Our philosophy is simple: **Give agents the freedom to build, not to destroy.**
Plango is available to try for free.
We'd genuinely love your feedback, especially from anyone using AI coding agents daily. Given how fast cyber is evolving we're pushing changes to this on a daily basis.
What worries you most about giving AI agents access to your machine?
Fred & Rich ✌️
The mascot is too cute to protect me. I trust better a refurbished T-800 or a Spartan Cyborg.
My biggest worry would be an agent reading something unrelated to its task simply because it can. Good to see tools being built around that problem. Wishing you both a great launch!
moving the .env secrets into the keychain is the bit i'd turn on first, we have way too many of those lying around in old repos
does the local model jsut flag a weird outbound call or block it before it leaves??? curious how noisy it gets during npm installs
Using Finder tags to mark files the agent can't touch is a practical detail. That makes the boundary visible in a place where people already handle their files.
About Plango on Product Hunt
“Use AI to defend against AI”
Plango launched on Product Hunt on October 23rd, 2026 and earned 92 upvotes and 16 comments, placing #14 on the daily leaderboard. Secure your Mac while building with AI. Plango monitors AI coding agents, protects sensitive files and secrets, blocks suspicious network activity, scans projects for vulnerabilities, and gives you control over what your agents can access. Powered by an on-device AI security model. Private by default.
Plango was featured in Productivity (665.4k followers), Developer Tools (522.9k followers) and Security (3k followers) on Product Hunt. Together, these topics include over 278.2k products, making this a competitive space to launch in.
Who hunted Plango?
Plango was hunted by Frederic Rohrer. 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.
Want to see how Plango stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Frederic Rohrer