theCUBE to Examine AI Compliance Gaps in Smarsh EDGE 2026 Coverage

The event was recently held at the Rainbow Room in New York City, according to SiliconANGLE. The coverage will feature executive perspectives on communications compliance, AI-based risk detection and governance across connected enterprise systems. The focus comes as employee communications spread across messaging platforms, collaboration tools and AI-powered applications, creating pressure on organizations to identify potential misconduct without overwhelming investigators or weakening regulatory accountability.

SiliconANGLE cited Smarsh's "2026 Enterprise AI Trends Study" showing that 55% of enterprises are actively deploying AI, but only 26% say their governance frameworks are keeping pace. Just 30% report comprehensive capabilities to detect and manage unauthorized AI use. Those gaps framed discussions at Smarsh EDGE 2026.

In a recent interview with theCUBE, Smarsh CEO Kim Crawford Goodman said the proliferation of communications channels is complicating oversight for regulated organizations. As AI-powered applications and autonomous agents generate new forms of enterprise communications, financial institutions must capture and preserve increasingly complex data while maintaining visibility needed to detect potential misconduct.

"Whenever these things are happening, it must be captured," she said. "It must be captured in rich and good format, and it must be available for the intelligent capabilities of people like Smarsh to crawl. And now we're looking not just for risks and bad things, we're also looking for opportunity."

That distinction reflects a shift, according to the report. Rather than treating archived interactions primarily as regulatory records, enterprises are beginning to consider how the same information can support investigations, operational decisions and broader business intelligence. AI agents could make communications data more accessible and useful across enterprise workflows, Goodman said. These tools could enable investigators to trace relationships across communications, identify relevant context and better understand how information moves between individuals. Such capabilities could reduce manual effort in investigations while helping organizations identify patterns traditional monitoring systems might overlook.

Traditional communications compliance has centered on capturing messages, preserving records and investigating potential violations. The growth of AI-generated communications and autonomous agents is increasing complexity, particularly when organizations rely on disconnected surveillance and archiving systems. AI-powered surveillance could help compliance teams focus on meaningful risks rather than reviewing large volumes of alerts. Goodman said Smarsh's AI technologies can reduce false positives by 70% to 80%, potentially allowing investigators to devote more resources to genuine compliance concerns.

Smarsh has also been extending its platform to support agent-based workflows. In September, the company introduced a Model Context Protocol server, AskSmarsh AI and additional agentic capabilities, designed to connect communications intelligence with enterprise applications while maintaining governance controls. Goodman said in the interview: "What we see at Smarsh is people will develop and utilize all kinds of agents from different sources, and they will do that on the back of different types of models."

That approach reflects growing interest in connecting specialized AI models and agents across business systems while maintaining access controls and trustworthy records. For financial institutions, the report said, the challenge is ensuring automated workflows remain transparent, auditable and consistent with regulatory obligations. TheCUBE's Smarsh EDGE coverage will address these operational and governance questions, including how AI could accelerate investigations, reduce unnecessary alerts and transform enterprise communications into actionable intelligence.

Editor's Summary

theCUBE will air post-event coverage of Smarsh EDGE 2026 on Oct. 15, focusing on AI-powered communications compliance and governance in financial services. Smarsh's study found that AI deployment is outpacing governance frameworks, while CEO Kim Crawford Goodman said Smarsh's tools can reduce false positives and support investigations. The discussion highlights how financial institutions are trying to balance AI adoption with regulatory accountability.