Sigui: The Trust Layer for AI Agents

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.