PrivacyRadar vs Securiti.ai
Securiti discovers data with AI. PrivacyRadar proves what production does.
Securiti.ai converges data discovery, AI governance, and privacy automation. PrivacyRadar is deterministic runtime observability — no LLM in the detection path — with consent proof, policy drift, and cryptographic evidence.
Where Securiti.ai is strong
AI-native data discovery and broad platform coverage for CISO-led programs.
Running both
Securiti for data estate and AI governance; PrivacyRadar for continuous web/API behavioral monitoring with low false positives.
Capability comparison
| Capability | PrivacyRadar | Securiti.ai |
|---|---|---|
| Detection approach | Deterministic browser scans — no LLM in detection path. | AI-assisted data discovery and classification. |
| Web runtime monitoring | Core product — consent, vendors, policy drift every scan. | Secondary; focused on data stores and AI systems. |
| Consent reject-path proof | Five scenarios with screenshots and HAR. | Not a primary capability. |
| False positive control | Rule-based evaluation with suppressions and confidence. | AI classification may require tuning. |
| Change-only alerting | Diff engine — alert only on regression. | Discovery scan diffs across data estate. |
| Engineering integration | API keys, webhooks, GitHub Action CI gate. | Security and data governance integrations. |
Competitor descriptions reflect our understanding of publicly documented positioning and are the reframe we bring to evaluations — verify current capabilities directly with each vendor.
The bake-off that settles it: scan your own site.
Click Reject on your banner, watch what still fires, and compare the evidence.