Built for the teams who make GenAI DLP actually happen.

The problem

Every client engagement starts from a blank console and a different methodology — inconsistent governance models, ad hoc policy design, and no repeatable way to prove controls actually work across accounts.

Their workflow in Effata

Run the same lifecycle for every client — AI Trust Center through Control Matrix, Policy Blueprints, Vendor Workspace, Deployment Checklist, and Testing Plan — instead of rebuilding the approach each time.

Outputs received

Operational benefit

Cut engagement time with a standardized methodology, and hand every client the same professional, evidence-backed deliverable set.

The problem

Security and data protection teams know AI usage is risky, but don't have a defensible way to decide what's approved — or a clear path from that decision to an implemented, tested control.

Their workflow in Effata

Evaluate apps in the AI Trust Center, set governance categories in AI Governance, define DLP actions in the Control Matrix, then carry those decisions through Policy Blueprints into a tested Netskope deployment.

Outputs received

Operational benefit

Defend every governance decision with an explicit, auditable control matrix — and hand engineering a plan they can implement without guesswork.

The problem

Governance programs write policy, but have no reliable way to connect it to what's actually enforced, tested, and reportable to leadership.

Their workflow in Effata

Turn a governance model into a control matrix and policy blueprints, validate it with a testing plan and evidence report, then export a leadership-ready presentation from the same workflow.

Outputs received

Operational benefit

Governance, enforcement, and reporting stay in sync — leadership sees the same posture the engineers are working from.