Fluiq vs Nano

Fluiq blocks prompt attacks, scores agent trajectories, and traces every step of every run. Two lines of Python, one dashboard.

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 Fluiq

Fluiq blocks prompt attacks, scores agent trajectories, and traces every step of every run. Two lines of Python, one dashboard. It chooses tools, chains steps, reads whatever the retriever returns, and hands work to other agents. It blocks the unsafe ones before they reach the model, and fails your build when quality drops. A full suite of server-side scanners runs on every request. Patterns are maintained server-side and updated without SDK releases. Images and other media are scanned alongside the text.

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.