Project Aegis
A cutting-edge R&D initiative to build an AI agent capable of identifying security vulnerabilities in our own codebases. It acts as an automated "Red Team," tirelessly attacking our systems to find weaknesses before bad actors do.
The Challenge
Traditional pentesting is expensive, slow, and human-dependent. We needed a way to continuously audit our growing portfolio of applications for security flaws without hiring a dedicated security team.
Our Solution
We built "Aegis," an LLM-powered agent with access to security best practices and CVE databases. It autonomously scans our GitHub repositories, generating "Attack Vectors" and suggesting patches.
Tech Stack
The Team
- Security Researcher
Strategic Impact
Reduced our security audit costs to near zero. Identified 3 critical vulnerabilities in our legacy "Engine Room" projects before they could be exploited. Demonstrated our ability to build autonomous agents.
Key Lessons Learned
"AI agents are excellent at pattern matching but struggle with complex, multi-step exploits."
"Security must be continuous, not a one-time event."