VigilOS: Autonomous AI Edge Security Ecosystem

VigilOS is an enterprise-grade AI edge security ecosystem designed to transform physical access control and perimetric surveillance into a decentralized, data-driven intelligence operation. Core Pipeline & Multi-Agent Orchestration: When an event occurs, VigilOS intercepts physical feeds via a Hikvision Hardware Bridge. Raw intercom audio streams are transcribed with ultra-low latency using Speechmatics’ streaming ASR API. Simultaneously, the system extracts identity metadata and license plates via Gemini Pro's multimodal vision features. This data initializes a specialized reasoning loop driven by Claude 3.5 Sonnet and GPT-4o through the unified AI/ML API gateway. Advanced OSINT & Decentralized Node Governance: To eliminate blind spots, the system triggers autonomous background checks. Utilizing Bright Data’s Web Data Unlocker and Residential Proxy Network, VigilOS bypasses anti-bot barriers to verify records and compute a dynamic Risk Score. To guarantee tamper-proof execution, our central agent—Ralphi IA—is authenticated and published as a decentralized autonomous node on the BAND Protocol. This ensures that threat intelligence hashes and state reports remain cryptographically verifiable across external network nodes. Data-Driven Polling Architecture via Triggerware: Critical alerts are written to a secure local layer. A Cloudflare Tunnel (cloudflared) exposes a restricted REST API endpoint to the internet, removing open incoming firewall ports. Triggerware’s Engine polls this endpoint asynchronously to compute real-time deltas. Once a new risk row is detected, Triggerware automatically triggers a workflow, injecting high-priority operational tickets inside Atlassian Jira Cloud (Project: CAN) for immediate compliance auditing, with self-hosted n8n acting as an enterprise fail-safe.