Matters.AI - AI Security Engineer for Data vs. Protegrity
A side-by-side comparison based on G2 review data.
| Metric | Matters.AI - AI Security Engineer for Data | Protegrity |
|---|---|---|
| Overall rating | 4.9 | 4.5 |
| Review count | 33 | 14 |
| Ease of use | 9.6 | 9.0 |
| Ease of setup | 9.5 | 9.3 |
| Quality of support | 9.6 | 9.3 |
| Meets requirements | 9.5 | 9.3 |
| NPS | 96.551724 | 57.142857 |
| Small Business | 42.4% | 23.1% |
| Mid-Market | 42.4% | 46.2% |
| Enterprise | 15.2% | 30.8% |
| Total page views | 672 | 307 |
| Total LLM citations | 147 | 666 |
Matters.AI - AI Security Engineer for Data
Matters.AI is a data-security platform that combines Data Security Posture Management (DSPM), Data Detection and Response (DDR), Database Activity Monitoring (DAM), User and Entity Behavior Analytics (UEBA), Insider Risk Management, Data Governance, sensitive data classification, cloud data security, and data lineage in one platform.
Protegrity
Protegrity secures the data and knowledge layer AI runs on, binding protection directly to the data itself rather than locking access around it. Its platform tokenizes, encrypts, and masks sensitive data at the field and knowledge-graph level, enforcing policy in real time at the point of a prompt, query, or answer — across AWS, Azure, GCP, and OpenShift, with FIPS-validated, post-quantum-ready cryptography.