February 3, 2026 - 4 min read

The Foundation of Compliance Starts with Capture

ArcteraData Compliance
Headshot of Ni Ni Yarma

Ni Ni Yarma

Director, Platform

When people talk about the future of compliance and AI, the conversation usually jumps to what’s new.

I want to start with what has to be right.

Capture sits at the foundation of our data compliance and governance platform. If it’s not secure, not reliable, or not trusted, nothing built on top of it works. That reality drives every decision my team and I make.

Quality and Security Are Non-Negotiable

I’m proud of the quality of the Capture application, and I’m proud because it’s earned.

We undergo annual penetration testing and ongoing security reviews, and we consistently see very few high-severity findings. When issues do appear, they’re limited and straightforward to address. That doesn’t happen by accident. It’s the result of disciplined engineering and a long-term focus on doing things correctly, not quickly.

Customers rely on Capture to preserve communications in highly regulated environments. For them, security isn’t a checkbox. It’s the baseline. I take that responsibility seriously, and I expect the same from my team.

Read the Capture Security Brief

Using AI to Speed Up the Right Things

AI is already part of how we build software, and I’m intentional about where and how we use it.

Across the development lifecycle, from requirements to testing to documentation, AI helps us reduce manual work and move faster without sacrificing quality. That matters in a market that’s changing quickly, especially when customers expect frequent, reliable releases.

The goal isn’t to “add AI”. The goal is to ship better software, sooner, and with confidence.

Capturing New Sources, Including AI-Generated Content

Customer data doesn’t live in one place anymore. Increasingly, important business records are created inside AI tools.

Expanding Capture’s content sources is a priority for me, including platforms like Copilot and ChatGPT, with more to come. Supporting these sources reflects how customers actually work today and ensures they can govern and preserve data consistently, even as workflows evolve.

This is where our R&D focus shows up clearly. We listen, we build, and we deliver.

Modernizing the Core, On Purpose

There’s nothing wrong with our existing technology. It’s stable and proven.

But I’m not interested in standing still.

I’m investing in modernizing the core of Capture so we can integrate new technologies more easily, scale effectively, and continue innovating without friction. This work is about where we’re going next, not fixing something that’s broken.

It also matters for the people building the product. Modern platforms attract strong engineers, and strong engineers build better products. That matters to me.

Faster Training, Faster Value

A strong product still fails if customers can’t use it easily.

I’m using AI to dramatically reduce the time it takes to create and update training materials and documentation. Today, we can refresh content with each release in minutes, not weeks.

That means customers get accurate guidance right away, onboarding is smoother, and value is easier to realize. This is one of the simplest ways AI directly improves customer satisfaction, and it works.

Final Thought

Capture isn’t flashy, and it doesn’t need to be.

It needs to be secure, dependable, and ready for what comes next. By investing in quality, security, modern architecture, and practical uses of AI, I’m making sure the foundation stays strong as everything else evolves.

That’s how I think about Capture. And that’s how we build it.