G2

BS

Biswajit S.

Senior Cybersecurity Solution Architect

Small-Business (50 or fewer emp.)

8/19/2026

"Worked across our AWS and SaaS stack without drama"

5/5

What do you like best about Matters.AI - AI Security Engineer for Data?

I value tools that give my team back time. Matters does that by cutting out the manual reconciliation work we used to do across separate scans.

Scans run continuously and pick up new data stores as our infrastructure grows. We do not have to remember to re-scope coverage. False positive rate is the lowest I have seen in a DSPM tool. It changes the conversation from 'is this real' to 'how do we fix this'. Coverage across AWS, GCP, and our SaaS stack works without us having to babysit individual integrations.

Insider risk indicators are tied to data movement rather than purely behavioral analytics, which makes alerts more credible. Integration into our existing SIEM and ticketing tools was straightforward. The platform plays well with the stack we already have. What we get out of it now is a meaningful step up from where we were before. Review collected by and hosted on G2.com.

What do you dislike about Matters.AI - AI Security Engineer for Data?

Some of the configuration screens are dense. Splitting a few of them into guided steps would be a small UX improvement. Support for custom classification labels alongside the built-in taxonomy would give teams with internal data classification standards more flexibility.

Problems it solves and benefits:

We were already certified through a compliance program, but that gave us policy artifacts, not operational visibility into where sensitive data actually lived.

Coverage across our AWS data stores, our SaaS apps, and our endpoint fleet is delivered from one place with consistent context. Data lineage and fingerprinting let us trace where our specific sensitive content has traveled, not just where pattern matches exist. Matters gave us continuous visibility into data discovery, classification, and access exposure across the environments that matter.

Data security has moved from being a topic we used to dread in board reviews to one we can speak to with evidence. The platform paid for itself in the audit cycle alone, before factoring in the operational time savings across the team. Review collected by and hosted on G2.com.

What problems is Matters.AI - AI Security Engineer for Data solving and how is that benefiting you?

We were already certified through a compliance program, but that gave us policy artifacts, not operational visibility into where sensitive data actually lived.

Coverage across our AWS data stores, our SaaS apps, and our endpoint fleet is delivered from one place with consistent context. Data lineage and fingerprinting let us trace where our specific sensitive content has traveled, not just where pattern matches exist. Matters gave us continuous visibility into data discovery, classification, and access exposure across the environments that matter.

Data security has moved from being a topic we used to dread in board reviews to one we can speak to with evidence. The platform paid for itself in the audit cycle alone, before factoring in the operational time savings across the team. Review collected by and hosted on G2.com.