Smarsh has been named among eight eDiscovery and Data Loss Prevention companies that OpenAI selected to integrate with as part of its first compliance partnership program and rollout of its own Enterprise Compliance API.
The eight firms serve customers in regulated industries, including finance, healthcare, legal services and government, and must comply with regulatory logging and audit requirements.
ChatGPT Enterprise is a commercial version of OpenAI's ChatGPT built specifically for business use. It includes enhanced features and capabilities such as administrative tools, advanced security, increased usage limits and analytics.
Smarsh is a major provider of digital communications content capture, archiving, supervision and e-discovery within the brokerage and RIA industries.
Its integration with OpenAI is meant to simplify the process of syncing ChatGPT Enterprise data in support of compliance-related activities, specifically for the financial services sector, including archiving, audit trails, data redaction and retention, and policy enforcement.
This means that companies employing ChatGPT Enterprise can easily synch their data with Smarsh’s compliance features and tools.
“There is immense customer value in being able to not only capture the content from ChatGPT compliantly but for that content to be automatically appended with an ‘AI-generated content’ tag,” said Kim Crawford Goodman, CEO of Smarsh.
She said this should help financial institutions adhere to the expected regulation of AI, which will likely require organizations to differentiate human and AI-generated content and maintain different policies for each.
In addition to Smarsh, other companies in the partnership included Forcepoint, Global Relay, Microsoft Purview, Netskope, Palo Alto Networks, Relativity and Zscaler.
While the partnership with OpenAI may be new, Smarsh has significant history and experience in artificial intelligence, having acquired the pioneering machine learning and natural language processing technology company Digital Reasoning in 2020.
Within a year, Smarsh had brought natural language processing and machine learning technology into the next generation of its communications intelligence platform, allowing it to analyze both written and spoken communications data.
