Cortex EDR
Startup
Launched Mar 2026
The Story
I'm Hamza Hafeez, and here's my story of building Cortex EDR:
It all started a year ago with one question that wouldn't leave me alone: how would you actually build AGI? So I just started reading everything I could find. And the more I read, the more I felt like everyone was building in the wrong direction. Too narrow. I kept coming back to the human brain, specifically the prefrontal cortex, the part that plans, decides, and coordinates everything else. It's not one process. It's an orchestrator.
That clicked for me. Intelligence is multi-agent by nature.
I published a research paper on a prefrontal-cortex-inspired architecture for AGI, reviewed by senior AI professors, before multi-agent systems became the thing everyone talks about now.
Then I asked myself where to actually apply this. Security was the obvious answer. Developers are shipping code faster than ever, especially with AI writing half of it, and the tools meant to catch vulnerabilities are still doing shallow pattern matching. So I built CortexEDR. Same orchestration architecture from my research, applied to application security. 7 AI agents doing deep codebase analysis, understanding intent, tracing how vulnerabilities connect and cascade, thinking about your code the way an attacker actually would.
Launched on my 20th birthday, March 5th 2026. Had paying customers within days.
The goal is simple: make insecure software embarrassing to ship.
It all started a year ago with one question that wouldn't leave me alone: how would you actually build AGI? So I just started reading everything I could find. And the more I read, the more I felt like everyone was building in the wrong direction. Too narrow. I kept coming back to the human brain, specifically the prefrontal cortex, the part that plans, decides, and coordinates everything else. It's not one process. It's an orchestrator.
That clicked for me. Intelligence is multi-agent by nature.
I published a research paper on a prefrontal-cortex-inspired architecture for AGI, reviewed by senior AI professors, before multi-agent systems became the thing everyone talks about now.
Then I asked myself where to actually apply this. Security was the obvious answer. Developers are shipping code faster than ever, especially with AI writing half of it, and the tools meant to catch vulnerabilities are still doing shallow pattern matching. So I built CortexEDR. Same orchestration architecture from my research, applied to application security. 7 AI agents doing deep codebase analysis, understanding intent, tracing how vulnerabilities connect and cascade, thinking about your code the way an attacker actually would.
Launched on my 20th birthday, March 5th 2026. Had paying customers within days.
The goal is simple: make insecure software embarrassing to ship.
AI Overview
AI-generated
Security teams and development organizations face a persistent challenge: ensuring that both human-written and AI-generated code remains free of vulnerabilities at scale. Cortex EDR positions itself as an intelligent code auditing platform designed to identify and eradicate security flaws and architectural weaknesses in real time through multi-agent analysis.
The product's core differentiator is its claim to go beyond traditional syntax-based scanning. Rather than simple pattern matching, Cortex employs seven specialized agents that perform deep contextual analysis across multiple dimensions: security vulnerabilities, architecture quality, code quality assessment, technical debt identification, and explicit analysis of AI-generated code. Each agent contributes to a comprehensive semantic understanding of a repository's logic flows, intent mapping, and architectural boundaries. This multi-layered approach targets teams that need more than surface-level code review and want to understand not just what code does, but why it does it.
The reconnaissance and analysis capabilities include automatic repository mapping, file discovery across large codebases, dependency tracking, and identification of entry points and configuration files. The platform reports findings through structured outputs including JSON and PDF reports, enabling integration into existing audit workflows. For organizations with continuous deployment needs, Cortex offers CI/CD pipeline hooks and REST API access, positioning it as a tool built for development workflows rather than standalone auditing.
The pricing structure reveals a freemium approach with three tiers. The free tier provides basic scanning with limited capacity and public-repository-only access. The mid-tier at $19 per cycle, available at promotional pricing of $9, expands scanning capacity and adds private repository support, making it accessible to small professional teams or independent auditors. The enterprise tier at $59 per cycle, or $29 on promotion, includes unlimited scanning capacity, multi-agent orchestration, and a 99.9% uptime SLA—features explicitly targeting organizations that require reliability and scale.
The emphasis on AI-generated code analysis distinguishes Cortex in an increasingly relevant market. The company's positioning around the idea that "your AI coded it, we audit it" acknowledges an emerging workflow challenge: as teams rely more heavily on AI assistants for code generation, verification of that code's security and quality becomes critical infrastructure. This focus addresses a contemporary development concern rather than serving as a general-purpose security replacement.
The product's core differentiator is its claim to go beyond traditional syntax-based scanning. Rather than simple pattern matching, Cortex employs seven specialized agents that perform deep contextual analysis across multiple dimensions: security vulnerabilities, architecture quality, code quality assessment, technical debt identification, and explicit analysis of AI-generated code. Each agent contributes to a comprehensive semantic understanding of a repository's logic flows, intent mapping, and architectural boundaries. This multi-layered approach targets teams that need more than surface-level code review and want to understand not just what code does, but why it does it.
The reconnaissance and analysis capabilities include automatic repository mapping, file discovery across large codebases, dependency tracking, and identification of entry points and configuration files. The platform reports findings through structured outputs including JSON and PDF reports, enabling integration into existing audit workflows. For organizations with continuous deployment needs, Cortex offers CI/CD pipeline hooks and REST API access, positioning it as a tool built for development workflows rather than standalone auditing.
The pricing structure reveals a freemium approach with three tiers. The free tier provides basic scanning with limited capacity and public-repository-only access. The mid-tier at $19 per cycle, available at promotional pricing of $9, expands scanning capacity and adds private repository support, making it accessible to small professional teams or independent auditors. The enterprise tier at $59 per cycle, or $29 on promotion, includes unlimited scanning capacity, multi-agent orchestration, and a 99.9% uptime SLA—features explicitly targeting organizations that require reliability and scale.
The emphasis on AI-generated code analysis distinguishes Cortex in an increasingly relevant market. The company's positioning around the idea that "your AI coded it, we audit it" acknowledges an emerging workflow challenge: as teams rely more heavily on AI assistants for code generation, verification of that code's security and quality becomes critical infrastructure. This focus addresses a contemporary development concern rather than serving as a general-purpose security replacement.
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Meet the Founder
"I'm Hamza Hafeez, a 20-year-old CS student and solo founder from Lahore, Pakistan. I build at the in..."