Case file — 356AB83D
The idea
“NetAudit AI (Automated Network Config Forensics) The Market: Mid-to-enterprise level tech companies, managed service providers (MSPs), and IT auditing firms managing massive network topologies. The Problem: In large corporate environments, network engineers are constantly changing router configurations, updating static routing tables, modifying DHCP scopes, and altering DNS zones to support new microservices. When a network goes down or a security breach happens, it takes a massive team hours or days of manual forensic digging through massive, text-heavy Cisco configuration files just to find out who changed what protocol, when it happened, and why a specific rip or static route is dropping packets. The Product (The SaaS): A native DevOps/IT utility tool. Network engineers upload or paste their standard Cisco router/switch configuration scripts, or plug in a live webhook from Cisco Packet Tracer/Network management systems. The software acts as a Forensics Engine. It automatically parses the raw configuration text, runs a strict anomaly detection algorithm, maps out a visual blueprint of the topology, and instantly flags vulnerabilities (e.g., mismatched routing protocols, unsecured ports, or overlapping IP scopes). The Collaboration Deck: Instead of swiping on movies or opinions, engineers use the interface to quickly review flagged network anomalies. They can click a flag, instantly see a human-readable visual breakdown of the structural failure, tag a teammate to fix it, and export an audit-ready compliance report.”