Finance Factors adopts Anzenna to speed insider risk checks

Finance Factors, Hawaii’s largest locally owned depository financial services loan company, has adopted Anzenna’s AI DLP and insider risk platform to track sensitive data across its security stack and block losses tied to employee activity and AI tools. The lender says the move has cut routine investigations by as much as 90% and lets a lean security team act in minutes.

Why it matters: - Finance Factors is trying to keep customer and personal records from leaving the company as employees use more cloud tools and AI assistants. - The new setup gives a small security team one place to see data movement across multiple systems, which can reduce investigation time and limit exposure.

What happened: - Finance Factors selected Anzenna’s AI DLP and Insider Risk management platform. - The deployment is aimed at preventing sensitive customer data from leaving the company through employee file uploads or AI tools. - The lender is based in Hawaii and serves customers through 13 branches statewide. - Chris Robinson, vice president of cybersecurity at Finance Factors, said most day-to-day investigations now run up to 90% faster. - Robinson said cases that once took 30 minutes to two hours can now close in less than 10 minutes.

The details: - Finance Factors is an FDIC-insured lender founded in 1952. - The company stores financial and personal records for customers across its branch network. - Finance Factors’ security stack includes Microsoft 365, SentinelOne, Darktrace and zero trust network access. - Before Anzenna, investigators had to move through four or five consoles to confirm whether file activity put data at risk. - The team had to check activity in Microsoft 365, device behavior, user location and whether a sign-in appeared to come from the right person. - Anzenna pulls user, device and file activity into one console. - Anzenna also extends DLP coverage into the browser and records file uploads as they happen, including uploads to AI tools. - In one case, Anzenna flagged a bulk transfer of passport records to an AI assistant. - The team used the same view to confirm within minutes that an IT manager was using an approved tool as part of his job. - When action is needed, the security team can remove unauthorized software from the Anzenna console without finding the device or waiting for IT admin access. - Robinson said the team is 85% to 90% faster on most day-to-day issues and can handle many tasks directly in Anzenna’s console. - Ganesh Krishnan, co-founder and CEO of Anzenna, said lenders now face new ways for customer data to leave through AI tools and that Finance Factors can act on sensitive data within minutes. - The full Finance Factors case study is available as the full case study.

Between the lines: - The deal shows how AI adoption is widening the attack surface for sensitive data, especially in regulated industries like lending. - It also highlights a broader shift toward consolidating security telemetry and remediation in one workflow instead of juggling separate tools. - The speed gains matter because insider-risk work often slows down security teams more than headline-grabbing attacks do.

What's next: - Finance Factors is likely to use Anzenna for ongoing monitoring of employee activity, browser uploads and AI-related data movement. - The company’s security team may continue shifting routine remediation into the Anzenna console as it standardizes response workflows. - Anzenna is positioning the platform around real-time remediation and evidence-backed investigation reports across enterprise systems.

The bottom line: - Finance Factors is betting that one view of user, device and file activity will help a lean team stop data loss faster as AI tools become part of daily work.