NetNerve was built to solve a simple problem: packet analysis is too hard, too slow, and too expensive. We're changing that with AI.
NetNerve was born out of a real-world challenge faced by Shubham Bhat during a cybersecurity job interview. The technical assessment featured a Capture The Flag (CTF) scenario that required manually analyzing a raw PCAP file to extract a hidden string.
Staring at an overwhelming wall of packets in traditional tools, an idea sparked: what if artificial intelligence could automate this tedious extraction and analysis process?
That single interview challenge inspired a proof-of-concept demo, which then evolved into an MVP. Following months of intensive development and architectural refinement, the project blossomed into a fully-fledged platform.
Today, that idea has become NetNerve — a powerful web application that processes thousands of captures per month, running 40,000+ Suricata IDS signatures and producing MITRE ATT&CK-mapped threat reports for security professionals and enthusiasts worldwide.
Every architectural decision starts with the question: does this protect the user? Files are never stored. Secrets never touch the browser.
Cybersecurity tools shouldn't require a PhD. NetNerve translates complex packet analysis into plain English that anyone can understand.
Analysis should feel instant. Our pipeline is optimized for sub-minute results on captures up to 100MB — no queue, no waiting.
We're open about our methodology, our detection rules, and our architecture. Trust is built on transparency, not black boxes.
The Cybersec Interview — PCAP CTF challenge sparks the idea for AI automation
First proof-of-concept demo built and tested
MVP integration developed
MVP launched as a fully-fledged web platform
NetNerve expands with 40,000+ Suricata IDS signatures and MITRE ATT&CK mapping