Professional Bio
I am a cybersecurity engineer and system builder specializing in secure AI infrastructure. In a market where many AI portfolios stop at simple chatbots and dashboards, I focus on building an AI execution layer that puts security and control first. My work bridges bug bounty research, application security, Data Loss Prevention (DLP), local LLM routing, and tamper-proof audit trails to create practical, verifiable, and secure systems.
I am also an active researcher on the Saudi national bug bounty platform, with documented findings including CSRF, Open Redirect with WAF bypass, sensitive information disclosure, and access control flaws. Technical details and targets are intentionally withheld in compliance with coordinated disclosure policies.
The AI Security Gap: Automation Without Losing Control
Small teams need the speed of AI automation, but relying on scattered SaaS tools and opaque workflows often risks exposing sensitive commands, API keys, customer data, or internal context. Traditional dashboards do not solve the core issue: how to automate while proving what happened, preventing leaks, and maintaining ownership of the execution layer.
CarbonFlow addresses this gap by treating AI automation as a governed system, not just a scattered set of prompts. It combines data classification, secure routing, auditability, runtime detection, and local/cloud decision boundaries so organizations can move fast without compromising control.
CarbonFlow doesn't just make AI workflows faster; it makes them accountable.
- Farhan AlmutairiThe Solution
CarbonFlow - Self-Hosted AI Security & Automation Systems
CarbonFlow is a suite of self-hosted AI governance and security systems built around practical defenses: SAST, DLP, EDR, prompt injection defense, licensing, compliance, audit logs, and automation. The goal is simple: enable business growth through AI while preventing sensitive data leaks and maintaining verifiable control.
The Biggest Challenge
The biggest challenge was figuring out how to leverage AI automation without losing control over execution. I had to design gateways that detect command injections, sanitize sensitive inputs, and log decisions, all while keeping the system fast and usable for real-world workflows.
How I Overcame It
Tech Stack
Who Benefits
Founders, small businesses, security teams, and AI builders who need practical automation without handing over sensitive data and operational control to third-party platforms. CarbonFlow is especially beneficial for teams seeking AI-driven growth, security visibility, and bilingual workflows ready for the MENA region while retaining full ownership of their data and infrastructure.