DIGU helps companies adopt Claude securely, on their own licenses and inside their own environment. We built a cloud provisioning tool first. Then we showed it to security leaders before it went to market. They did not argue with the tool. They asked who the agent was, separately from the engineer running it. What it could reach when nobody was watching. What would be in the log afterwards. A platform team cannot buy an agent that touches infrastructure until security signs off, and that sign off is never about the tool. It is about the controls underneath it. So we built those. The DIGU AI Security Baseline covers 28 controls across five domains: identity and privilege, permissions and execution boundaries, untrusted content, connectivity and supply chain, observability and governance. Every control states what it is, why it matters, how it gets implemented, and what evidence proves it is in place. That last part is what makes the rest worth anything. Alongside it, a maturity roadmap. Each level is described by what the organization can then safely do, not by how locked down it is. Broad developer use of Claude on code. Claude connected to internal systems. Regulated workloads and passed customer security reviews. Agents provisioning infrastructure inside the perimeter. Scoring is a profile, not a grade. Each domain scores separately, because teams are rarely uniformly weak. The number to act on is the floor, not the average. DIGU is a California company with engineers acros