Nano vs SigmaShake

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

Generative AI agent guardrails mapped to MITRE ATLAS AML.M0020: deterministic ALLOW, DENY, ASK, FORCE at the tool-call boundary. Honest-agent. Not a sandbox.

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 SigmaShake

Generative AI agent guardrails mapped to MITRE ATLAS AML.M0020: deterministic ALLOW, DENY, ASK, FORCE at the tool-call boundary. Honest-agent. Not a sandbox. SigmaShake (ssg) checks every AI agent tool call against your rules before it runs, so risky actions can be blocked or rewritten in milliseconds, without a sandbox. AI agents run shell commands, edit files, and call external APIs. That means they can cause real damage before you realise what happened. It was completing a task "helpfully." The replies came in fast.