Agentic SAST: Building an AI Pipeline for Rule Synthesis and Root-Cause Vulnerability Analysis
Project Electrification is an agentic, AI-powered application security pipeline designed to eliminate vulnerabilities at their source. Autonomous agents scan large codebases, generate and execute custom SAST rules, and produce unified risk analytics through the ELK stack. Security engineers then convert these insights into SDK-level protections, ensuring the same classes of issues can’t reappear across the organization’s products. Instead of chasing findings, Electrification removes the root causes—at scale.
Danila Sashchenko
I previously worked as a Red Team professional in Russia. Our clients included some of the country’s largest manufacturing enterprises, financial institutions, and banks. Following our engagements, none of these organizations reported successful breaches related to the attack scenarios we tested. Across our Red Team exercises, we maintained a success rate of over 90%.
After relocating to Sydney, I continued my career as an Offensive Security Engineer, with a strong focus on security engineering and blue-team training. My approach has always been deeply technical and hands-on, centered on low-level exploitation techniques and realistic attack scenarios. This background naturally led to building highly automated, practical security solutions—an experience that now allows me to design systems that are both effective and production-ready. After I moved to Security Engineering, all of my skills which I was able to get before working in the Offensive domain, were used to quickly build and introduce solutions, like the one I am going to told on the conference.