About Aegis
Aegis helps development teams secure code that is written or assisted by AI. As AI-generated code becomes more common, traditional scanners often miss context or produce noise. We built Aegis to analyze entire repositories with a security-engineer mindset: taint analysis, evidence-based findings, and clear remediation.
Mission
Our mission is to make it easy to catch real vulnerabilities before they ship—without drowning in false positives. We focus on the issues that matter: hardcoded secrets, injection risks, auth flaws, and cross-file data flow problems.
The problem we solve
Generic static analysis and single-file scanners were not built for AI-assisted code. They miss cross-file data flow, flag benign patterns, or ignore the way Copilot and similar tools generate code. Security teams either drown in noise or miss real issues. Aegis is built specifically for the way modern teams write code: with AI in the loop, and with full repository context.
How it works
Connect your GitHub repositories, choose a branch, and run a scan. Aegis analyzes the code and returns a prioritized list of findings with severity, confidence, CWE/OWASP mapping, and remediation guidance. Sensitive files like .env are flagged without sending their contents anywhere. Scans scale to large repos with smart filtering and chunked analysis.
See all features →Why Aegis
In Greek myth, the aegis was a shield that offered protection. We chose the name because our goal is to be that shield for your codebase: a layer of security that helps you ship AI-generated and AI-assisted code with confidence, without blocking your team or flooding you with false alerts.
Who it's for
Aegis is for development teams that use GitHub Copilot, ChatGPT, or other AI coding tools and want to catch vulnerabilities before merge. It's for security-conscious engineers who need evidence-based findings and CWE/OWASP mapping for audits, and for organizations that want dedicated AI-code security without drowning in noise.
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