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Aegis

Verify security-sensitive code changes before they merge

Aegis is trust infrastructure for software and AI agents. It keeps findings, evidence, remediation, independent verification, policy, and security memory separate so security-sensitive changes can be reviewed with proof, not optimism. Start with a browser-local Snapshot, then move into Attack Graph, Threat Model, Secure Fix, Fix & Prove, Trusted Analysis, and policy-backed decisions across VS Code, GitHub Actions, and local workflows.

Top comment

Hey Product Hunt! I’m Melike, the founder of Aegis. I built Aegis around a simple problem I kept coming back to: a security finding is not proof, and neither is a generated fix. Aegis keeps the claim, evidence, remediation, independent verification, policy decision, and security memory separate so one model - or one missing check - can’t quietly certify the whole workflow. Today you can explore Attack Graphs, Threat Models, Secure Fix, Fix & Prove, Trusted Analysis, and the security task plan across the Aegis workflow. There’s also a browser-local Snapshot on the website if you want to drop in a single source file and see what review signals surface without uploading it. I’d especially love feedback from developers shipping AI-generated code and small security teams: where would you want proof before you trust a change?

About Aegis on Product Hunt

Verify security-sensitive code changes before they merge

Aegis was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #124 on the daily leaderboard. Aegis is trust infrastructure for software and AI agents. It keeps findings, evidence, remediation, independent verification, policy, and security memory separate so security-sensitive changes can be reviewed with proof, not optimism. Start with a browser-local Snapshot, then move into Attack Graph, Threat Model, Secure Fix, Fix & Prove, Trusted Analysis, and policy-backed decisions across VS Code, GitHub Actions, and local workflows.

On the analytics side, Aegis competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 998.8k followers on Product Hunt. The dashboard above tracks how Aegis performed against the three products that launched closest to it on the same day.

Who hunted Aegis?

Aegis was hunted by Melike Polat. 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 including community comment highlights and product details, visit the product overview.