Security and Compliance
MTP needed to speed up security research, compliance analysis, and software validation for regulated clients without exposing confidential customer data or overwhelming engineers with repetitive manual work.
Reported impact
MTP saves roughly two hours per person per day, cut six-hour research tasks to two hours, reduced compliance-search time by 40%, and improved documentation speed by 35% while keeping regulated client data isolated on trusted European endpoints.
MTP rolled out Gemini Enterprise as a governed research and engineering platform for its 650-person digital assurance business. The company built shared prompt libraries, workshops, and a routing layer on Gemini Enterprise Agent Platform so everyday tasks go to Gemini Flash while complex programming logic goes to Gemini Pro. Deep Research and custom no-code research agents shorten cybersecurity and regulatory analysis, and Gemini Notebook helps teams extract compliance insights faster from large bodies of technical material. The company also connects these AI tools to internal SharePoint compliance manuals so analysts can ask plain-language questions and verify whether client software meets specific standards. To protect sensitive banking and public-sector workloads, MTP runs the platform on European endpoints and uses Model Armor to block prompt injection and data leakage, while Gemini Code Assist is extending the same model into secure coding and documentation workflows.
Technical documents, regulations, and internal manuals are queried through Gemini Enterprise and routed to the appropriate Gemini model, with research agents and notebooks synthesizing findings, SharePoint-connected knowledge answering compliance questions, and Model Armor enforcing safety controls around sensitive client data.
Gemini Enterprise solved this with stable daily quotas and a large context window
MTP also uses Model Armor to add an extra layer of defense, actively blocking prompt injections and preventing sensitive information from leaking.
The company deploys its AI models through Gemini Enterprise Agent Platform on European endpoints to maintain strict GDPR compliance.
Two hours of daily tasks saved per person with Gemini Enterprise
the team uses the no-code Agent Designer in Gemini Enterprise to easily build custom research agents, alongside pre-built agents, such as Deep Research.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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