The dark data problem hiding inside your AI agents

The report describes how autonomous AI agents generate large amounts of "dark data" (reports, memories, audit trails) that can become a liability without deliberate storage, versioning, and governance. It introduces NemoClaw, built on OpenClaw with an OpenShell kernel-level sandbox, as a runtime security approach that enforces declarative policies for network, file, and inference access to improve enterprise agent governance.