I handle project delivery for our security and data protection workstreams, and most tools in this space are built for full-time security engineers. They assume you live in the product eight hours a day. Matters.AI is different. It gives me what I need without demanding that I become a security specialist. The first thing I noticed was the dashboard. I land on it and immediately see our posture score, open findings by severity, and what has changed since my last login. No clicking through five tabs to piece together the picture. The layout is intuitive enough that I walked two non-technical team members through it in under fifteen minutes and they were comfortable navigating independently. The intelligence behind the scans is what keeps me confident in the output. The platform figured out which files contained personal identifiers, financial records, and access credentials across our cloud storage and connected applications. I did not have to set up detection rules or feed it sample data. It worked out of the box and the accuracy has been consistent enough that we stopped doing manual spot checks after the first few weeks. Connecting our cloud environment and productivity tools took less than a day. I had budgeted a week for integration based on past experience with other platforms. That time went back into actual project work instead. I specifically tracked system performance during the first month because our engineering team was cautious about anything touching live infrastructure. Zero impact. No latency, no resource spikes, no complaints from the engineering side. From a cost perspective, we replaced a patchwork of manual processes and partial tooling with one platform. The return was clear within the first quarter, both in time saved and in the confidence we now have when answering questions about our data security practices. The team behind the product has been available and responsive throughout. Setup was guided without being hand-holding. Post-deployment, they have flagged configuration opportunities before we asked, which tells me they actually pay attention to how customers are using the product.

I manage both the DevOps function and project delivery at Dice, so I look at any new tool through two lenses: does it fit into our infrastructure workflows without creating toil, and can I predict its delivery timelines and outcomes reliably. Matters.AI scores well on both. On the DevOps side, the onboarding was clean. We connected our AWS account, the platform picked up our S3 buckets and RDS instances automatically, and scans started running without us having to write custom scripts or deploy sidecar agents. That matters when you are running a lean infrastructure team. The scans do not compete for compute resources on production, which was a concern I had going in. They run independently and the performance overhead is effectively zero. The classification results are where I stopped comparing this to other tools. We had previously tried building internal scripts to tag sensitive data across our storage layer. The coverage was maybe 60% on a good day, and maintaining those scripts was a project in itself. Matters.AI replaced all of that. The platform picks up user PII, payment identifiers, device data, and session tokens across both structured database tables and unstructured file stores. It does this without us feeding it custom rules for every data type. The accuracy has been high enough that our security team stopped running validation checks on the output after the first month. The second thing that stood out from a project management perspective is the guided remediation. Every finding comes with a risk score and a specific action to take. That means I can assign remediation tasks to team members directly from the findings view with clear priority and scope. No ambiguity, no back-and-forth on what needs to happen. For someone tracking sprint deliverables, that clarity is valuable. The exposure scoring dashboard has also become part of our monthly reporting cadence. Leadership gets a single number that reflects our data security posture, and they can see it trending over time. I did not have to build a custom dashboard or pull data into a BI tool. It was there out of the box.

What we like best about Matters.AI is how effectively it secures our data at fastn.ai by providing contextual, AI-driven insights with minimal noise. It helps us quickly identify real risks, automate responses, and maintain strong data visibility across our environment.