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).
I’m building ARIA, an AI security analyst that investigates threats and can take action within controls set by the customer. Today, companies either overwhelm analysts with alerts or ask them to trust automation. ARIA starts by requesting approval, verifies every outcome, and earns narrowly scoped autonomy over time - it cannot promote itself. I taught myself software development this year and built the working desktop and web platform, backend, security connectors, and governance system myself.
Hey Product Hunt 👋 I’m Sary, the solo founder behind ARIA.
I built ARIA because security teams already have enough dashboards and alerts. What they need is an AI analyst that can investigate threats, explain the evidence and blast radius, recommend a response, and eventually act - within clear human-defined boundaries.
ARIA’s core idea is governed autonomy. It starts by asking permission, earns trust through verified outcomes, cannot promote itself, and immediately loses autonomy after a failure.
I only started coding this year and built the platform from scratch, including its security connectors, AI-SPM engine, identity monitoring, voice interface, and trust architecture.
ARIA is also open source, so builders and security teams can inspect how its governance model works and help shape it.
I’d particularly value feedback on:
Which security workflow you would trust AI to handle first
What evidence you would need before allowing autonomous action
Which integrations ARIA should support next
Thanks for checking it out. I’ll be here answering every question.
Really cool approach with the trust-building autonomy model. One thing that would help teams adopt this faster: a sandbox mode where ARIA investigates a copy of recent alerts in parallel with human analysts, then compares findings side by side. That way you can show measurable accuracy and false positive rates before anyone grants it any action permissions.
Congrats on shipping this solo. The scoped autonomy approach sounds thoughtful. One thing that would help build trust: a clear audit log export that shows every action ARIA took, the approval chain, and what data it accessed. SOC 2 reviewers will ask for it anyway, and having it visible in-app would make the "verify every outcome" promise tangible instead of just a claim.
About Aria-Sec on Product Hunt
“AI security that earns your trust before it acts”
Aria-Sec was submitted on Product Hunt and earned 12 upvotes and 5 comments, placing #35 on the daily leaderboard. I’m building ARIA, an AI security analyst that investigates threats and can take action within controls set by the customer. Today, companies either overwhelm analysts with alerts or ask them to trust automation. ARIA starts by requesting approval, verifies every outcome, and earns narrowly scoped autonomy over time - it cannot promote itself. I taught myself software development this year and built the working desktop and web platform, backend, security connectors, and governance system myself.
Aria-Sec was featured in Open Source (68.7k followers), Artificial Intelligence (475.9k followers), GitHub (41.4k followers) and Security (2.8k followers) on Product Hunt. Together, these topics include over 160.1k products, making this a competitive space to launch in.
Who hunted Aria-Sec?
Aria-Sec was hunted by Sary Ismail. 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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Sary Ismail