Securiti Data Command Center
Unified DSPM and privacy platform with AI-powered knowledge graph for hybrid multicloud.
Vendor Information
Securiti Data Command Center Overview
Securiti pioneered the Data Command Center, a unified platform providing contextual data and AI intelligence across hybrid multicloud and SaaS environments. Founded in 2018 by Rehan Jalil (former Symantec SVP/GM Cloud Security, Elastica CEO), Securiti uses a proprietary knowledge graph to unify data discovery, classification, security controls, and governance in a single platform. Acquired by Veeam for $1.725B in December 2025, Securiti serves as the data security, privacy, governance, and AI trust layer for enterprises managing fragmented data across production and secondary systems.
The platform automatically discovers and classifies sensitive data across structured and unstructured sources, building a real-time knowledge graph that captures data relationships, access entitlements, regulatory requirements, and risk context. This intelligence powers integrated modules for DSPM (Data Security Posture Management), privacy operations automation (DSARs, consent, assessments), data access governance, AI security controls, and compliance management. Gencore AI enables safe enterprise AI search and agent deployment within minutes using proprietary data with built-in privacy and governance enforcement.
Recognized as a Leader in Gartner Peer Insights for DSPM and GigaOm, Securiti raised $156M from Mayfield, General Catalyst, Workday Ventures, Capital One Ventures, and Cisco Investments before its acquisition. The platform processes over 100 million identities and supports Fortune 500 enterprises across financial services, healthcare, retail, and technology sectors. Post-acquisition, Securiti operates as a separate division within Veeam with 600+ employees, combining data resilience with unified security, privacy, governance, and AI trust.
Key Capabilities
Standardized capabilities mapped to this product's security niche
Verifies that sensitive data is stored and processed only in approved geographic regions, mapping data locations to applicable residency requirements (GDPR EEA, Australian Privacy Act, data sovereignty laws).
Breadth of cloud services and SaaS platforms supported for data discovery: S3, GCS, Azure Blob, Snowflake, BigQuery, Redshift, RDS, M365, Salesforce. Coverage gaps in less-common data stores are a primary product differentiator.
Discovers and classifies sensitive data (PII, PHI, PCI data, IP) across cloud object storage, relational and NoSQL databases, data lakes, and SaaS platforms using content inspection and ML classification.
Maps effective permissions to sensitive data stores across cloud IAM, database roles, and SaaS permissions, identifies over-privileged access and dormant entitlements.
Identifies sensitive data in locations outside authorized data stores, development databases containing production PII, unprotected S3 prefixes, forgotten data lake partitions.
Traces how sensitive data moves between storage locations, services, and users, surfaces unexpected cross-region transfers, shadow copies, and retention policy violations.
Automatically remediates discovered violations, revoking over-permissioned access, moving misplaced data to compliant storage, encrypting unprotected sensitive files.
Integrations
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Compliance & Certifications
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