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APC
Security policy controls for AI agent actions
APC explores a policy enforcement layer for AI-agent actions, helping teams evaluate allowed and denied actions and inspect decision traces. Try the synthetic playground, explore security scenarios, and apply to discuss a supervised design-partner evaluation.
Hey Product Hunt 👋
I'm building APC at Aleph Labs to explore a critical question: how do we make AI-agent actions more controllable and easier to inspect before trusting them with sensitive workflows?
APC focuses on policy-based action decisions and decision traces. The public playground uses synthetic scenarios, so you can explore example allow/deny outcomes without triggering real cloud or third-party actions.
We're opening the project to feedback and looking for cloud, platform, DevOps, and security teams interested in evaluating the approach through a supervised design-partner process.
I'd love your honest feedback:
- What controls would you require before allowing an AI agent to take a sensitive action?
- What evidence would your security team need to trust an enforcement layer?
Thanks for taking a look!
About APC on Product Hunt
“Security policy controls for AI agent actions”
APC was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #320 on the daily leaderboard. APC explores a policy enforcement layer for AI-agent actions, helping teams evaluate allowed and denied actions and inspect decision traces. Try the synthetic playground, explore security scenarios, and apply to discuss a supervised design-partner evaluation.
On the analytics side, APC competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how APC performed against the three products that launched closest to it on the same day.
Who hunted APC ?
APC was hunted by Yared Mengistu. 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 APC including community comment highlights and product details, visit the product overview.
Yared Mengistu