Zscaler Data Security Posture Management (DSPM) vs. Protegrity
A side-by-side comparison based on G2 review data.
| Metric | Zscaler Data Security Posture Management (DSPM) | Protegrity |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 56 | 14 |
| Ease of use | 9.4 | 9.0 |
| Ease of setup | 9.3 | 9.3 |
| Quality of support | 8.7 | 9.3 |
| Meets requirements | 9.4 | 9.3 |
| NPS | 69.642857 | 57.142857 |
| Small Business | 3.6% | 23.1% |
| Mid-Market | 19.6% | 46.2% |
| Enterprise | 76.8% | 30.8% |
| Total page views | 151 | 307 |
| Total LLM citations | 821 | 666 |
Zscaler Data Security Posture Management (DSPM)
Zscaler Data Security Posture Management (DSPM) provides organizations with a comprehensive way to manage, monitor, and remediate security risks related to sensitive data in cloud environments. Designed to empower security and compliance teams, Zscaler DSPM automatically discovers sensitive data, evaluates its posture, and enforces robust protection policies to ensure compliance and reduce the risk of data breaches. Key Use Cases: • Automatically discover and classify sensitive data across cloud environments. • Identify misconfigurations and security gaps related to data storage or usage.
- Security
- Cloud Security
- Comprehensive Security
- Ease of Use
- Cloud Services
- Scanning Technology
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.