Securiti
DataAI Command Platform for DSPM, privacy operations, and AI governance, now owned by Veeam.
Technical Architecture & Overview
Securiti combines data discovery and classification, DSPM, privacy operations for consent and data subject requests, and AI governance for models and agent usage. Veeam completed its acquisition of Securiti AI in December 2025. The vendor lists more than 1,000 integrations across hybrid multicloud and SaaS data systems.
Targeted Technical Use Cases
Organizations that need privacy compliance and data security controls from the same platform.
Evaluation & Trade-offs
Core Strengths
- +Privacy operations such as data mapping, consent, and DSR automation alongside DSPM.
- +AI and agent governance modules for new data risks.
- +Vendor lists more than 1,000 integrations across data systems.
Trade-Offs & Limitations
- -Commercial only; access starts with a demo request.
- -Breadth can exceed the needs of security-only buyers.
Defensive Security Application
Automating data mapping, risk detection, and privacy obligations on sensitive data at scale.
Frequently Asked Questions
What is Securiti?→
Securiti combines data discovery and classification, DSPM, privacy operations for consent and data subject requests, and AI governance for models and agent usage. Veeam completed its acquisition of Securiti AI in December 2025. The vendor lists more than 1,000 integrations across hybrid multicloud and SaaS data systems.
What is Securiti used for?→
Organizations that need privacy compliance and data security controls from the same platform.
What are the strengths of Securiti?→
- +Privacy operations such as data mapping, consent, and DSR automation alongside DSPM.
- +AI and agent governance modules for new data risks.
- +Vendor lists more than 1,000 integrations across data systems.
What are the limitations of Securiti?→
- +Commercial only; access starts with a demo request.
- +Breadth can exceed the needs of security-only buyers.
How is Securiti used defensively?→
Automating data mapping, risk detection, and privacy obligations on sensitive data at scale.