Kamesh Tumsi of Smarsh, chief product officer, joins the conversation at Smarsh EDGE 2026 to discuss product strategy and governance for artificial intelligence in enterprise compliance. Tumsi addresses platform evolution, recent agent launches and the new MCP server, focusing on how Smarsh accelerates innovation while supporting client-driven models. Gemma Allen of theCUBE Research guides the interview and explores product delivery, observability and governance trade-offs.
Tumsi emphasizes accelerating innovation without compromising governance, security and auditability. They explain that Smarsh balances investments across three buckets: solidifying the core, extending the core and pursuing true innovation, and enables customers to bring their own models or agents. The discussion outlines agentic automation levels, risk-reward prioritization and the ROI opportunity to reduce labor spend. It also covers product management for compliance, surveillance and observability as key factors to consider when deploying AI in regulated environments.
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Kamesh Tumsi, Smarsh
Kamesh Tumsi of Smarsh, chief product officer, joins the conversation at Smarsh EDGE 2026 to discuss product strategy and governance for artificial intelligence in enterprise compliance. Tumsi addresses platform evolution, recent agent launches and the new MCP server, focusing on how Smarsh accelerates innovation while supporting client-driven models. Gemma Allen of theCUBE Research guides the interview and explores product delivery, observability and governance trade-offs.
Tumsi emphasizes accelerating innovation without compromising governance, security and auditability. They explain that Smarsh balances investments across three buckets: solidifying the core, extending the core and pursuing true innovation, and enables customers to bring their own models or agents. The discussion outlines agentic automation levels, risk-reward prioritization and the ROI opportunity to reduce labor spend. It also covers product management for compliance, surveillance and observability as key factors to consider when deploying AI in regulated environments.
