This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Patronus Protect
On-device AI firewall — see and control AI traffic, locally
Patronus is an AI firewall that runs on your laptop. It sees AI traffic across browsers, IDEs, native apps, and MCP servers — and lets you set policies per app. Local-first by design. Free public alpha. Built in Regensburg.
Congrats. How deep the visibility goes with MCP/tool calls, can Patronus see what an IDE agent is sending before it hits the provider, or is it mainly provider/app-level for now?
Hey PH 👋🏻, Dominik and Benedikt here, co-founders of Patronus from Regensburg.
Two things kept bugging us. First, every AI security tool we tried wanted to route every prompt through their cloud. Second, AI is scaling into everything — IDEs, browsers, OS-level agents, MCP servers — without a real last line of defense on the device itself.
So we built one. Patronus is an AI firewall that runs entirely on your Mac.
What it does:
→ Sees AI traffic across browsers, IDEs, native apps, MCP servers
→ Policies per app, per provider, per individual tool-call
→ locally and in realtime
What ships next:
→ Windows in about 2 weeks
→ Full policy engine + DLP heuristics in June
→ Full protection (PII redaction, prompt injection) in August
Free alpha, no login.
Curious: which AI tools are running on your Mac right now that your IT team has no idea about, and what workarounds (if any) do you have for securing AI today?
⁃ Dominik & Benedikt🐺
About Patronus Protect on Product Hunt
“On-device AI firewall — see and control AI traffic, locally”
Patronus Protect was submitted on Product Hunt and earned 13 upvotes and 3 comments, placing #58 on the daily leaderboard. Patronus is an AI firewall that runs on your laptop. It sees AI traffic across browsers, IDEs, native apps, and MCP servers — and lets you set policies per app. Local-first by design. Free public alpha. Built in Regensburg.
Patronus Protect was featured in Privacy (11.1k followers), Artificial Intelligence (469.3k followers) and Security (2.6k followers) on Product Hunt. Together, these topics include over 106.2k products, making this a competitive space to launch in.
Who hunted Patronus Protect?
Patronus Protect was hunted by Benedikt Veith. 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 Patronus Protect stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Benedikt Veith
Congrats. How deep the visibility goes with MCP/tool calls, can Patronus see what an IDE agent is sending before it hits the provider, or is it mainly provider/app-level for now?