G2

Rushikesh S.

Administrator

Mid-Market (51-1000 emp.)

10/29/2026

"From Alert Chasing to Real-World Risk Prioritization—Fast"

5/5

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

The shift from chasing alerts to acting on prioritized findings was felt across the team within the first quarter. Risk prioritization actually corresponds to what would matter in a real incident, which is rare in this category.

Sensitive data discovery in SaaS apps like Google Workspace and Slack has been a useful addition to what we get from cloud scans. Pricing was straightforward, with no surprise add-ons for the modules we actually needed.

The agentless approach for cloud data stores meant no security review headaches and no production performance hit. Data lineage tracking shows us where sensitive content originated and where it has propagated. That has been useful for incident scoping. We have not regretted the decision to standardize on it. Review collected by and hosted on G2.com.

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

Support for custom classification labels alongside the built-in taxonomy would give teams with internal data classification standards more flexibility. The platform has a lot of capability, which means there is a learning curve for new team members. More guided in-app walkthroughs would help. 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?

Our last DSPM tool produced more noise than signal, and we needed something that could actually be operated by the team without constant tuning. We needed clear visibility into where sensitive data lives across the environments we run.

The AI classification surfaces the sensitive content we actually have, including data we did not know was there. The continuous scanning model means we catch new exposures shortly after they appear instead of months later in an audit.

What we get back is time and confidence: time saved on manual work, and confidence that we know where our data is. Review collected by and hosted on G2.com.