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AIBound
Endpoint AI Usage Control: see, stop and govern AI use
AIBound is endpoint AI Usage Control (AIUC). It discovers the AI running on your devices, including agents, skills, MCP servers, AI apps and extensions, and grades each one on what it can actually reach: data, identities, skills and permissions. Block risky apps at install or launch, remove or rewrite risky skills, and map usage to ISO/IEC 42001, NIST AI RMF and the EU AI Act. Lightweight deployment that works with your existing security stack.
Hi Product Hunt, I'm Anthony, Head of Sales and Channel at AIBound.
Every security team we talk to has the same problem: people are adopting AI faster than anyone can track it. Coding agents, MCP servers, AI extensions, and AI features that show up overnight in SaaS updates. Most tools can tell you an AI app exists. Very few can tell you what it can actually touch.
We built AIBound to answer that from the endpoint. It inventories the AI on each device, then grades risk on real context: the data it can reach, the identity it runs as, and the skills and tools it can call. From there you can block a risky app, remove or rewrite a dangerous skill, and produce audit evidence mapped to frameworks like NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
We offer a free proof of value that includes a day-one Shadow AI Risk Report. I'd love your feedback: what's the hardest part of getting AI usage under control in your organization?
About AIBound on Product Hunt
“Endpoint AI Usage Control: see, stop and govern AI use”
AIBound was submitted on Product Hunt and earned 0 upvotes and 1 comments, earning #1 Product of the Day. AIBound is endpoint AI Usage Control (AIUC). It discovers the AI running on your devices, including agents, skills, MCP servers, AI apps and extensions, and grades each one on what it can actually reach: data, identities, skills and permissions. Block risky apps at install or launch, remove or rewrite risky skills, and map usage to ISO/IEC 42001, NIST AI RMF and the EU AI Act. Lightweight deployment that works with your existing security stack.
On the analytics side, AIBound competes within SaaS, Artificial Intelligence and Security — topics that collectively have 529.5k followers on Product Hunt. The dashboard above tracks how AIBound performed against the three products that launched closest to it on the same day.
Who hunted AIBound?
AIBound was hunted by Anthony Mastroni. 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.
For a complete overview of AIBound including community comment highlights and product details, visit the product overview.
Anthony Mastroni