Ramkumar

@LLM Stats Looks like an interesting tool... will try

WoW, this looks really amazing and also easier to use.. we will definitely consider this for for next release at zerberus.ai

Hey everyone 👋 Trace-AI was born out of frustration and field experience. For years, we were the ones called in after incidents, patching breaches, rebuilding trust, and realising how reactive the industry had become. Every time, the same pattern repeated: teams depended entirely on a single vulnerability database (NVD/CVE), and when it lagged or missed context, chaos followed. That’s when we...

We’ve been building Trace-AI.dev, a developer-first tool that analyses your software supply chain to detect risky dependencies before they hit production, launching on 21st October on PH. It’s powered by our open-source project ZSBOM, which blends CVE/CWE vulnerability data with metadata-driven heuristics like typosquatting, abandonment, and version drift. We welcome all feedback. @sriramg is...

@tanaykothari - Thanks for sharing. Not many people tell the pivots, spinoffs, reversals, etc. Respect what you've done and how you've shared it. More people need to know that it is not a straight line to the summit from the basecamp!