Worldpac Chooses Anzenna for AI DLP and Insider Risk Management

With Anzenna, the automotive parts distributor checks every upload to AI tools and reduces manual alert triage by 99%.

SAN MATEO, Calif., Nov. 3, 2026 — Worldpac, which distributes original equipment (OE) and aftermarket replacement automotive parts from more than 320 facilities, has chosen Anzenna's AI DLP and insider risk management platform to keep sensitive data from leaving the company, whether an employee uploads a file to a web app or into an AI tool. Anzenna's context-aware DLP checks each upload in the browser as it happens and investigates its own alerts, so Worldpac's security team only sees the small share that needs a person. Since deploying Anzenna, the team has cut a typical investigation from about 30 minutes to 15, and questions such as who owns a device now take under a minute.

Worldpac's workforce of roughly 6,000 employees, contractors and delivery drivers works across its branches and warehouses, and much of that work happens in the browser. In a business that size, a sensitive file is one upload away from a web app, a file share or an AI tool, and that activity creates more alerts than any security team can read one by one.

"Anzenna gives us visibility into where sensitive data goes in the browser, including into AI websites," said Joshoa Khurana, Head of Security at Worldpac. "That made it a very easy justification."

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"Anzenna gives us visibility into where sensitive data goes in the browser, including into AI websites," said Joshoa Khurana, Head of Security at Worldpac. "That made it a very easy justification."

Anzenna's browser extension checks every upload, whether it's headed to a web app or an AI tool, against what's in the file, who is sending it, that person's role in the company and where the file is going. Because the policies carry that context, most uploads pass with no friction, and the extension steps in to warn the employee or block the upload only when a file breaks policy. Anzenna then investigates each alert in the context of the person behind it, including their recent activity and history, and flags only about 1 percent for the security team.

The same browser view shows which AI tools employees use, from chat tools to AI coding apps and the MCP servers that connect AI agents to company systems, and whether each login is a personal account or a company-managed one. A personal account sits outside company control, and what an employee types into it may be used for training.

"Now we have one central platform, and it has made life a lot easier," Khurana said. "The Anzenna team is always available and there's constant back and forth, which plays a big role for us."

"Most DLP leaves a security team with more alerts than it can read, and AI has opened a new way for data to leave," said Ganesh Krishnan, Co-Founder and CEO of Anzenna. "Worldpac now stops sensitive data at the browser, including uploads to AI tools, and its team only looks at the alerts that need a person, which is what AI DLP and insider risk management have to deliver."

The full Worldpac case study is available at https://www.anzenna.ai/customers/worldpac/

Media Contact

Anzenna, Inc. [email protected] 

Media Contact

Ganesh Krishnan, Anzenna, 1 6509067812, [email protected], https://www.anzenna.ai/ 

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SOURCE Anzenna