Smarsh puts AI governance at the core of communications intelligence
At Smarsh EDGE, the company said its platform can analyze a year of email, messaging and AI-prompt traffic to build business context, capture communications between AI agents, and support natural-language compliance searches. Smarsh also introduced a model risk management agent in limited availability and a new Model Context Protocol server. Through a multiyear collaboration with AWS, the company is building governance and security into the infrastructure layer. A Smarsh study found that 26% of enterprises said their governance frameworks were keeping pace with AI deployment.
The announcements show communications compliance expanding from archiving employee messages for regulators to using governed data for AI-assisted analysis and oversight of agent activity. The report also says technology-agnostic regulations leave financial institutions responsible for their agents’ actions.
Financial institutions have long treated employee communications as something to archive for regulators. During the Smarsh EDGE event, that archive was recast as a source of business intelligence. Artificial intelligence can now analyze a year of email, messages and AI-prompt traffic and turn it into business context. The catch is that AI is now one of the channels that must be captured, including agents communicating with other agents.
The next phase will be defined by governance built into the foundation rather than bolted on. Customers are building their own agents outside compliance platforms and accessing that data through Model Context Protocol servers. Regulations remain technology-agnostic, however, and financial institutions remain liable for their agents’ actions. A study recently released by Smarsh Inc. found that only 26% of enterprises say their governance frameworks are keeping pace with AI deployment, even as AI in financial services moves beyond pilots.
“I think that move from system of record to system of engagement to system of intent, it’s really won or lost in one battleground, and that is data,” said Gemma Allen (pictured, left), host at theCUBE, SiliconANGLE Media’s livestreaming studio. “Data is a huge moat for companies in 2026.”
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