What is Data Command Center used for?

Data Command Center is used to discover, classify, secure, and govern sensitive data and AI use across hybrid multicloud and SaaS environments.

Who should use Data Command Center?

Security, privacy, compliance, and data governance teams at large enterprises that manage sensitive data across many cloud and SaaS systems.

Does Data Command Center include AI governance?

Yes. Data Command Center includes AI governance controls, LLM firewalls, and data protection for enterprise AI agents and copilots.

How much does Data Command Center cost?

Data Command Center pricing is not published. Securiti provides quotes and product demos on request through its website.

What are the best alternatives to Data Command Center?

The best alternatives to Data Command Center include OneTrust, BigID, Varonis, and Collibra for data security, privacy, and governance.

Data Command Center Reviews, Features & Alternatives

Overview

What is Data Command Center?

Data Command Center by Securiti is a platform for data security, privacy, and governance across hybrid multicloud and SaaS environments. It is built on a knowledge graph of data and AI objects and covers data discovery and classification, data security posture management, access governance, lineage, privacy request automation, and consent management. Security, privacy, and data governance teams at large enterprises use it to understand sensitive data, apply controls, and meet regulations such as GDPR and CPRA.

Best for

Security TeamsPrivacy OfficersData Governance TeamsCompliance ManagersLarge Enterprises

Product snapshot

Category: Data Discovery & Exploration
Best for: Enterprise data security governance
Deployment: Cloud
Free trial: Contact vendor
Integrations: AWS, Azure, Snowflake, Databricks
AI features: Yes

Key features

Key features of Data Command Center

Data discovery and classification

Find and classify sensitive data across cloud, SaaS, and on-premise systems.

Data security posture

Assess data risks and misconfigurations across multicloud environments.

Access governance

See who can access sensitive data and tighten permissions.

Privacy request automation

Automate data subject requests, consent, and data mapping for privacy programs.

Data catalog and lineage

Catalog data assets and trace how data moves between systems.

AI governance controls

Apply security and compliance controls to AI models, agents, and copilots.

Reviews

Data Command Center reviews

1 review

Overall

1.0/5

Ease of use1/5
Features1/5
Value for money1/5
Customer support5/5

What users like

Responsive post-sale support team
Wide coverage of data sources
Combines privacy and security tools
Controls for AI and copilots

What users dislike

Reports cannot be exported easily
Interface can feel cluttered
Hard to customize for needs
Pricing is not published

Julio Cesar S.

Manager

“Liked the post-sale support team's efforts to resolve critical problems. Found the tool cannot export reports, is hard to customize, has a cluttered interface, and some dashboards show no relevant data.”

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Alternatives

Top Data Command Center alternatives

OneTrust
Best for
Privacy program management
Why choose it
Broad privacy, consent, and governance suite
BigID
Best for
Data discovery and privacy
Why choose it
Strong data discovery across many sources
View BigID
Varonis
Best for
Data access security
Why choose it
Deep permissions analysis and threat detection
Collibra
Best for
Enterprise data governance
Why choose it
Comprehensive governance and data quality
View Collibra

Integrations

Data Command Center integrations

Data Command Center connects to a wide spread of data systems, with more than 1,000 integrations cited by the vendor. Named connectors include AWS, Microsoft Azure, Google Cloud Platform, Snowflake, and Databricks, covering cloud storage, data warehouses, and data lakes. The platform also reaches SaaS applications and on-premise stores to discover and classify sensitive data in one place. Results feed a knowledge graph that links data assets with their owners, access rights, regulations, and AI use. Teams can then apply controls, automate privacy requests, and govern how data flows into AI models, agents, and copilots across the organization.

FAQ

Data Command Center