SentinelAI is a cloud-native enterprise platform designed to simplify AI governance, infrastructure monitoring, compliance management, and automation workflows for modern IT and network operations teams. The platform combines AI-driven analysis with real-time operational visibility to help organizations improve security, efficiency, and compliance readiness. The solution was developed using FastAPI for backend REST APIs, Streamlit for the frontend dashboard, and Google Cloud Run for cloud deployment. SentinelAI integrates enterprise concepts such as AI governance validation, infrastructure monitoring, audit logging, compliance dashboards, and automated operational workflows into a single unified platform. The AI Governance module analyzes prompts and operational requests to identify potentially risky or unauthorized actions before execution. Infrastructure Monitoring provides visibility into enterprise devices, system health, and operational metrics. Automation Workflows allow predefined tasks such as VPN restart operations and network remediation actions to be triggered securely from the dashboard. The Audit Logging module tracks operational activities for accountability and troubleshooting, while the Compliance Engine validates infrastructure health and governance status against enterprise standards. The project demonstrates modern cloud-native architecture using Google Cloud services including Cloud Run and Cloud SQL concepts while showcasing scalable deployment practices, API integration, and secure enterprise dashboard design. SentinelAI was created to address real-world enterprise challenges including operational complexity, security governance, compliance tracking, and AI-assisted network operations. The platform provides a Cisco-style monitoring experience with a centralized dashboard and modular navigation, making it suitable for enterprise infrastructure management, AI security governance demonstrations, and next-generation network automation use cases.
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