Nano vs Open

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

Open-source RAG security toolkit with prompt injection detection, PII protection, secrets scanning, and retrieval integrity checks.

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.

About Open

Open-source RAG security toolkit with prompt injection detection, PII protection, secrets scanning, and retrieval integrity checks. AetherGuard AI is a unified zero-trust infrastructure for generative AI deployments, combining semantic security inspection, AI threat intelligence, cryptographic accountability, and hardware-rooted trusted execution into a single AI-native defense pipeline. Retrieval-Augmented Generation (RAG) has quickly become the standard architecture for enterprise AI applications. Much less attention is given to a fundamental question:. Traditional RAG pipelines assume that anything returned from a vector database is safe and trustworthy.