Securiti
Consent management platforms
Cookie tracking software
Data breach notification software
Data privacy management software
Data subject access request (DSAR) software
Privacy impact assessment (PIA) software
Sensitive data discovery software
Active metadata management software
Data governance tools
File analysis software
Cloud data security software
Data-centric security software
Vendor security and privacy assessment software
AI governance tools
Cloud security software
Data security software
Risk assessment software
AI security posture management (AI-SPM) tools software
AI security solutions software
Data security posture management (DSPM)
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What is Securiti
Securiti is a data privacy and data security platform used to discover, classify, and govern sensitive data across cloud and enterprise systems. It supports privacy operations such as consent and cookie management, DSAR fulfillment, privacy impact assessments, and breach-related workflows. The platform also extends into data security posture management and AI governance use cases by mapping data flows, policies, and controls to datasets and AI systems. Typical users include privacy, security, governance, and compliance teams in mid-market and enterprise organizations.
Broad privacy-to-security coverage
The product spans multiple privacy operations (consent/cookies, DSAR, PIA) and security-oriented capabilities (sensitive data discovery, DSPM-style posture management) in one platform. This can reduce the need to stitch together separate tools for web consent and internal data governance workflows. It is suited to organizations that want a single control plane for privacy and data security programs. The breadth is useful when teams need shared data inventories and policy enforcement across functions.
Sensitive data discovery focus
Securiti emphasizes discovery and classification of sensitive data across structured and unstructured repositories, which is foundational for DSAR, retention, and security controls. Discovery outputs can support data mapping and records of processing activities by linking data elements to systems and purposes. This helps teams move from questionnaire-based governance to evidence-based inventories. It is particularly relevant for cloud-first environments where data locations change frequently.
Governance workflows and assessments
The platform includes workflow-driven modules for privacy impact assessments and vendor/security privacy assessments, aligning operational tasks with documented controls. These workflows can standardize intake, approvals, and audit trails across business units. Centralized reporting supports compliance evidence collection and internal oversight. This is helpful for organizations managing multiple regulations and third-party risk processes.
Implementation can be complex
Because the platform covers many modules and integrations, initial rollout often requires careful scoping, data source onboarding, and policy configuration. Organizations may need dedicated privacy/security operations resources to maintain classifications, connectors, and workflows. Time-to-value can vary depending on the number of systems and data types in scope. Smaller teams may find a narrower tool easier to deploy for single-purpose needs like cookie consent.
Module licensing and packaging
Capabilities are typically delivered as a suite of modules rather than a single lightweight product. Buyers may need to evaluate which components are included in their edition and what requires add-on licensing. This can complicate comparisons with tools focused only on web consent or only on customer data pipelines. Procurement and budgeting may require more detailed requirements mapping.
Connector coverage varies by stack
Sensitive data discovery and posture management depend on the availability and depth of connectors to data stores, SaaS applications, and cloud services. Some environments may require custom integration work or alternative ingestion methods to achieve full coverage. Classification accuracy and completeness can also depend on access permissions and data formats. Teams should validate support for their specific repositories and identity/access model during evaluation.
Seller details
Securiti AI, Inc.
San Jose, CA, USA
2019
Private
https://securiti.ai/
https://x.com/SecuritiAI
https://www.linkedin.com/company/securitiai/
