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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
AEGIS-AI
Italy's first AI Security Intelligence platform. Free.
AEGIS-AI measures your organization's exposure to vulnerabilities discovered by frontier AI models. Three scores in 30 minutes: AES (AI Exposure), DRS (Defense Readiness), GCI (Governance & Compliance). Live NVD CVE feed. Executive PDF report. No registration required.
Hunt! I'm Remo, founder of QuantumHorizon. I built AEGIS-AI after Project Glasswing — Anthropic's initiative that showed frontier AI models can find zero-day vulnerabilities autonomously for $50 a session. 181 working exploits on Firefox 147 in one session. A 27-year-old OpenBSD bug found with $50 of compute. Most organizations don't know where they stand. AEGIS-AI gives them a number in 30 minutes. Free, no registration. Would love your feedback!
About AEGIS-AI on Product Hunt
“Italy's first AI Security Intelligence platform. Free.”
AEGIS-AI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #10 on the daily leaderboard. AEGIS-AI measures your organization's exposure to vulnerabilities discovered by frontier AI models. Three scores in 30 minutes: AES (AI Exposure), DRS (Defense Readiness), GCI (Governance & Compliance). Live NVD CVE feed. Executive PDF report. No registration required.
On the analytics side, AEGIS-AI competes within Artificial Intelligence, GitHub, Encryption and Security — topics that collectively have 515.7k followers on Product Hunt. The dashboard above tracks how AEGIS-AI performed against the three products that launched closest to it on the same day.
Who hunted AEGIS-AI?
AEGIS-AI was hunted by Quantum Horizon. 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 AEGIS-AI including community comment highlights and product details, visit the product overview.
Quantum Horizon