AI codebase analyser and auto vs Nano

We added Python AI-app regex prefilters to getdebug and benchmarked against Bandit, Semgrep, and (attempted) vulnhuntr. Here's where each tool actually catches things, and...

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

About AI codebase analyser and auto

We added Python AI-app regex prefilters to getdebug and benchmarked against Bandit, Semgrep, and (attempted) vulnhuntr. Here's where each tool actually catches things, and where they don't. on a Python repo runs in milliseconds, costs zero, and now covers Python AI-app anti-patterns alongside the secrets + dependency-CVE passes it always ran. The interesting part is the benchmark we ran while developing them, against the three other tools anyone would compare us to. vulnhuntr (Protect AI, open source) is the stated category leader for AI-app static analysis.

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.