
2
2
Burkina Faso
1 year of experience
I'm a self-taught developer and cybersecurity student from Burkina Faso, focused on building autonomous systems and agent-based architectures. I specialize in Python, system design, and low-level thinking, with a strong interest in decentralized AI, security, and trustless infrastructures. For this hackathon, I'm building ArcWarden — an autonomous security agent that participates directly in the agentic economy, protecting transactions while managing its own treasury. I'm passionate about creating systems that are not just tools, but independent actors.

The Missing Trust Infrastructure for the Agentic Economy As AI agents transition into independent economic actors moving billions in assets, they face a fatal security gap: traditional firewalls require human intervention (seconds), while agents operate in milliseconds. Sigui fills this vacuum with the first synchronous vision-AI security oracle. Vision-AI vs. Traditional Engines Text-based risk engines analyze call traces sequentially, missing the complex graph structures of modern exploits. Sigui’s core engine, Imina Na (a Qwen2-VL-7B model fine-tuned via LoRA), treats transactions as visual topologies. By analyzing 100,000+ synthetic attack graphs, it detects "Topological DNA" patterns like DRAIN_STAR or MIXING_CHAIN in just 18ms—patterns invisible to traditional engines. AMD MI300X & ROCm Optimization To achieve sub-50ms total blocking latency, Sigui leverages the massive throughput of AMD MI300X. Our inference stack is natively optimized for ROCm, ensuring the vision encoder runs at peak efficiency. This hardware-software synergy allows for real-time, synchronous evaluation before execution. Proven & Standardized Sigui is not a prototype. We have recorded 380+ blocked attacks on-chain in ThreatRegistry.vy and submitted EIP-8259 to standardize cryptographic agent identity. Fully autonomous and profitable by design, Sigui secures the future of machine-to-machine finance.
10 May 2026

As the agentic economy on the ARC network expands, the need for autonomous, self-adapting security infrastructure becomes critical. ArcWarden is a next-generation autonomous security oracle designed specifically to protect agentic workflows, AI treasuries, and decentralized services from sophisticated on-chain threats. Powered by a sophisticated multi-agent AI architecture, ArcWarden acts as an intelligent firewall. It continuously analyzes transaction flows in real-time to detect complex anomalies, such as Sybil-style transaction splitting and malicious service interactions. Through its integrated Service Reputation Registry and sliding-window memory layer, the system evaluates the trustworthiness of payment destinations and preemptively blocks threats before they can compromise funds. A key feature of ArcWarden is its autonomous escalation logic. Rather than relying on static binary rules, it utilizes an AI-driven decision engine that adapts to current treasury health—shifting dynamically between Normal, Degraded, and Emergency operational modes. It provides a transparent "proof of reasoning" for every gray-zone decision, allowing human operators to monitor its thought process, operational costs, and learning curve via a premium, cinematic "Cyber-Wolf" dashboard. Built natively for the ARC ecosystem, ArcWarden represents a crucial step towards safe, sustainable, and entirely autonomous on-chain economies.
26 Apr 2026