WEBINAR

Unstructured Data Leads to Increased Risk of Exposure

Length: 10 mins

As generative artificial intelligence models continue to accelerate document-driven productivity, it is also expanding the attack surface around unmanaged but sensitive data organizations don't want exposed.

Geoff Mroz, director of AI solutions and security at Adobe, said the list of risks tied to AI-enabled document workflows far outweighs that of traditional file security. Today's defenders are up against sophisticated phishing campaigns, metadata manipulation and inaccurate AI output. As employees adopt unapproved, off-premises tools in the absence of standardized governance rules, the risk of data exposure soars.

"Increased capability also means increased exposure risk … half of organizations out there lack AI governance that's locked into place and their data may be getting exposed in an unmanaged way," Mroz said.

In this video interview with Information Security Media Group, Mroz also discussed:

• How shadow AI is reshaping document security risk
• Why unstructured data is the most critical AI exposure point
• Best practices for layered, secure-by-default AI deployments

As a digital innovator, Mroz influences creative strategy and transformation. With more than 25 years of experience expanding and blurring the lines between art and science, he connect the dots between people, businesses and technology to help companies deliver digital transformation and creative productivity.