Case Study: Gorilla secures Gemini deployment and protects sensitive data with Metomic

Gorilla deploys Gemini with Metomic and remediates over-exposed sensitive documents

Gorilla, a data analytics platform for the energy retail industry, faced the challenge of deploying Google Gemini securely within their Google Workspace. They needed to balance AI-driven productivity gains with strict data governance and compliance requirements for their highly regulated sector, as years of collaborative work had led to permission sprawl that made sensitive customer data vulnerable.

Partnering with Metomic, Gorilla implemented a multi-layered AI governance framework. This included automated content classification to identify sensitive documents, permission remediation, and continuous monitoring. As a result, Gorilla deployed Gemini with confidence, identified and remediated over-exposed documents, established a quarterly adversarial querying process, and created a scalable governance model for future AI tools, all while protecting sensitive customer data.

Gorilla