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Finance Factors chose Anzenna for AI DLP and insider risk management to prevent data loss

The Honolulu lender has to keep sensitive customer data from leaving the company, including through uploads to AI tools. When a bulk set of passport records went to an AI assistant, its security team confirmed within minutes that an IT manager was using an approved tool as part of his job. Day-to-day investigations now close up to 90% faster.

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Exhibit 1

Investigation time, at true scale

Bar chart on one axis from 0 to 120 minutes. Before: 30 minutes to two hours across four to five consoles. With Anzenna: five to ten minutes in one view.Before · 30 min to 2 hrs · 4 to 5 consolesWith Anzenna · 5 to 10 min · one viewmin0306090120 Bar chart on one axis from 0 to 120 minutes. Before: 30 minutes to two hours across four to five consoles. With Anzenna: five to ten minutes in one view.Before · 30 min to 2 hrs · 4 to 5 consolesWith Anzenna · 5 to 10 min · one viewmin0306090120
Both bars share one axis in minutes. A day-to-day insider risk investigation that ran 30 minutes to two hours across four or five consoles now closes in five to ten minutes.

One user’s file activity, checked console by console

A lean security team guards the financial and personal records Finance Factors holds for its customers. The evidence it needed was all there, spread across four or five consoles, and pulling it together meant doing the work by hand.

Exhibit 2

Where the evidence lived

Five columns, one per place the evidence lived: Microsoft 365, SentinelOne, Darktrace, the zero-trust layer and logs. Each holds one fragment of the story, and a dashed path zigzags between all five.ONE QUESTION · FIVE PLACES TO LOOKMicrosoft 365SentinelOneDarktraceZero-trustLogs Five columns, one per place the evidence lived: Microsoft 365, SentinelOne, Darktrace, the zero-trust layer and logs. Each holds one fragment of the story, and a dashed path zigzags between all five.ONE QUESTION · FIVE PLACES TO LOOKMicrosoft 365SentinelOneDarktraceZero-trustLogs
Each tool held one fragment of the story. Working out who moved a file and where it went meant walking all of them, 30 minutes to two hours per case.

I’m a firm believer in defense in depth, and all those tools are great. But we have to go to each one to see certain things, and none of them actually show a full picture.

Chris RobinsonVP of Cybersecurity, Finance Factors Finance Factors
Case file · passport records sent to an AI assistantCritical

  1. Alert

    Anzenna flags a critical event: a bulk set of passport records going to an AI assistant.

  2. Context

    The alert shows what the records are and who sent them to which account.

  3. Verdict

    An IT manager, using an approved tool on a company account as part of his job.

  4. Closed

    The team closes the case in minutes without leaving Anzenna.

File uploads to AI tools, tied to the person who made them

Anzenna pulls user, device and file activity out of the tools Finance Factors already runs and lines it up by person. Its browser extension adds data loss prevention (DLP) coverage, recording file uploads as they happen, including uploads to AI tools.

Finance Factors kept every tool it already trusted. When a finding calls for action, the team handles common fixes from the Anzenna console, such as removing software a user should not have installed.

If we see an alert, we can go straight to Anzenna and get the whole picture in one spot, instead of bouncing around all these different consoles.

Chris RobinsonVP of Cybersecurity, Finance Factors Finance Factors
Cover of the Finance Factors case study PDF: How Finance Factors cut investigation time by up to 90% with one view across its security stack

The full story

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The four-page PDF has the passport-records case and the before-and-after numbers, laid out to pass around your security team.

Download the PDF PDF · 4 pages · 115 KB

Where this fits

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