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Securiti

Securiti is a data security, privacy, governance, and compliance platform provider that offers an integrated, AI-enabled system for managing sensitive data across hybrid and multicloud environments.

  • Unified platform for data security, privacy, governance, and compliance across cloud and on-premises (on-prem) environments.
  • Data discovery and classification capabilities (data security) to identify sensitive and regulated information across structured and unstructured data stores.
  • Automation for privacy rights fulfillment and regulatory compliance workflows (privacy management), including support for global data protection requirements.
  • Controls for data access governance and policy enforcement (data access governance), including role-based access, minimization, and monitoring.
  • AI-powered intelligence layer (data security and privacy automation) that correlates data, identities, and risk signals for continuous policy and control management.

More About Securiti

Securiti focuses on an integrated platform approach to data security, privacy, governance, and compliance, targeting enterprises that operate across multiple public clouds, Software-as-a-Service (SaaS) platforms, and on-prem data stores. Its tooling is designed to give security, privacy, and data teams a common set of capabilities for understanding where sensitive data resides, how it is used, who has access to it, and which regulatory or internal policies apply.

The platform typically begins with data discovery and classification (data security) across structured databases, data warehouses, data lakes, file stores, and SaaS repositories. Using connectors and scanners, Securiti can catalog data assets, detect personal and sensitive data elements, and build an inventory tied to identities, purposes, and locations. This catalog underpins downstream use cases such as privacy compliance, access governance, and risk assessment.

For privacy and regulatory compliance (privacy management), Securiti provides automation around data subject rights requests, consent and preference management, data mapping, and records of processing activities. Enterprises can model data flows, associate them with business processes, and map them to regulatory frameworks such as General Data Protection Regulation (GDPR) or California Consumer Privacy Act (CCPA). Workflow tooling supports intake, validation, and fulfillment of access, deletion, and correction requests by leveraging the underlying data discovery and identity correlation features.

In the area of data access governance (data access governance), Securiti offers policy definition, entitlement analysis, and monitoring to help organizations apply least-privilege principles to sensitive datasets. This includes visibility into which users, roles, or applications can access specific data, as well as continuous evaluation of those permissions against defined policies. Integration with identity providers and access control systems allows mapping between data objects and identity attributes.

Securiti also positions its platform within broader Data Security Posture Management (DSPM) (data security) and cloud security programs, where organizations seek unified views of data risk across multicloud and hybrid infrastructure. By aligning data classification with infrastructure context, security teams can prioritize controls such as encryption, tokenization, masking, and network or access restrictions based on data sensitivity and regulatory scope.

Architecturally, Securiti supports API-based integrations, connectors to cloud-native and on-prem data services, and policy engines that apply rules across heterogeneous environments. The platform commonly interfaces with Security Information and Event Management (SIEM) systems, identity and access management (IAM) platforms, and ticketing tools to embed data security and privacy workflows into existing enterprise operations.

Within a marketplace or directory context, Securiti aligns with categories such as data security platforms, DSPM, data discovery and classification, privacy management software, and data access governance. Its emphasis on a unified, AI-enabled system positions it as a central control layer for organizations that need consistent policies and automated workflows spanning data protection, regulatory compliance, and governance across diverse data landscapes.

At-A-Glance

  • Employees: 690
  • Estimated Annual Revenue: $100M-$250M

Connect

Corporate Headquarters

377 Santana Row
San Jose, CA 95128

Market Segmentation

  • Type: Private
  • Sector: Industrials
  • Group: Transportation
  • Industry: Air Freight & Logistics
  • Sub-Industry: Shipping & Logistics