Customer-driven improvements to GenAI security
🔍 At Google Cloud, collaboration with customers guided a technical sprint in January 2026 with a major telecommunications partner to refine Model Armor, the runtime security service for generative AI. By embedding with the customer's developers and security teams, the Google Cloud Developer Advocacy group observed real-world workflows and identified friction points such as search-first documentation needs, tuning confidence levels to avoid false positives, clearer enforcement guidance, and IAM-related 403 errors during integrations. The team translated these findings into tested code samples, a confidence level matrix, explicit integration guides for Apigee, Gemini Enterprise Agent Platform, and GKE, and deeper technical documentation to improve operational utility and reduce deployment friction.
