G2

Hassim N.

Senior Devops Engineer

Small-Business (50 or fewer emp.)

9/24/2026

"Rapidly Expanding Coverage Across Clouds: Without Integration Hassles"

5/5

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

The platform is expanding quickly, with new partners and product launches adding to its data footprint week after week. Coverage across AWS, GCP, and its SaaS stack keeps pace without requiring me to constantly monitor or manage individual integrations. Review collected by and hosted on G2.com.

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

More chart options in reports would be helpful for creating presentation-ready visuals. The tabular exports cover most of what I need, but having additional visual formats would make the reporting feel more complete. I’d also welcome Terraform module support for IaC-driven scan setup on newly provisioned infrastructure. The setup process today is smooth, but native IaC support would reduce friction even further. 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?

Data footprint was growing faster than the team could keep track of. We needed a way to stay current without adding headcount. At our scale, customer profiles, payment data, and address records sit across multiple data stores and analytics systems. Data lineage and fingerprinting let us trace where our specific sensitive content has traveled, not just where pattern matches exist. The platform replaced what was previously three separate evaluations: DSPM, DLP, and a piece of insider risk monitoring. The continuous scanning model means we catch new exposures shortly after they appear instead of months later in an audit. Audit prep has gone from a fire drill to a routine pull from the platform. Across the team, the most consistent feedback has been that the findings are credible, which changes how everyone works with them. Review collected by and hosted on G2.com.