Data Command Center

Securiti's Data Command Center is a unified platform for data and AI intelligence, controls, and orchestration across hybrid multicloud environments, designed for large global enterprises that need to manage data security, privacy, and compliance at scale.

Reviewed by 7wData

On this page

Publisher review

Securiti's Data Command Center is a unified platform for data and AI intelligence, controls, and orchestration across hybrid multicloud environments, designed for large global enterprises that need to manage data security, privacy, and compliance at scale. It enables safe use of data and AI by providing a centralized hub for teams handling data security, AI governance, privacy, and compliance, replacing disjointed point products with a single platform journey. The platform is powered by the Data Command Graph, a knowledge graph that automatically captures critical contextual information for data and AI objects, including sensitive data, AI models, and their relationships across cloud, SaaS, and on-premises environments.

Key capabilities include Data Security Posture Management (DSPM) for securing sensitive data everywhere, AI Security & Governance for establishing controls for safe adoption of AI technologies including GenAI, and ROT Data Minimization to automate data minimization and reduce cost, risk, and accelerate trusted AI at scale. It also offers Context-aware LLM Firewalls to protect AI interactions with intelligent retrieval, response, and prompt firewalls, Data Discovery & Classification to discover shadow and cloud-native assets and accurately classify data, Data Access Intelligence & Governance to monitor user access and enforce least privilege controls, and Data Flow Governance to understand data lineage and secure real-time streaming data. The platform includes Agent Commander for detecting AI risk, protecting AI systems, and undoing AI mistakes, and Security for AI Agents and Copilots to accelerate AI agent rollouts without compromising data security.

In the market, Data Command Center competes with platforms like BigID, Concentric AI, Varonis, Cyera, and OneTrust, positioning itself as a broad privacy and governance hub comparable to BigID but with a stronger emphasis on AI security and a unified data command center approach. However, it can feel heavy and complex to implement and operate, similar to BigID, and its security-ops-oriented DSPM and real-time detection remain less opinionated than some security-first platforms like Cyera or Sentra. Organizations with strong internal resources or partner support for implementation will benefit most, while those seeking a lightweight, security-first DSPM may find it overly platform-oriented.

Get the AI & data signal, daily.

48k+ subscribers read this every morning. One email, both newsletters. Unsubscribe anytime.

How it works

  1. Data Security Posture Management

    Secures sensitive data everywhere from hybrid multicloud to SaaS, providing continuous discovery, classification, and posture management.

  2. AI Security & Governance

    Establishes controls for safe adoption of AI technologies including GenAI, with risk detection, protection, and remediation for AI systems.

  3. ROT Data Minimization

    Automates data minimization to reduce cost, risk, and accelerate trusted AI at scale by identifying and removing redundant, obsolete, or trivial data.

  4. Context-aware LLM Firewalls

    Protects AI interactions with intelligent retrieval, response, and prompt firewalls to prevent data leakage and misuse in LLM applications.

  5. Data Discovery & Classification

    Discovers shadow and cloud-native assets and accurately classifies data using AI/NLP-driven techniques to reduce false positives.

  6. Data Access Intelligence & Governance

    Monitors user access to data and enforces least privilege controls to reduce exposure and ensure compliance with data privacy regulations.

  7. Data Flow Governance

    Understands data lineage and secures real-time streaming data across hybrid multicloud environments for comprehensive visibility.

Strengths and trade-offs

Strengths

  • Unified platform for data+AI intelligence, controls, and orchestration across hybrid multicloud environments, replacing disjointed point products with a single journey.
  • Automates data security and privacy processes, including consent management, DSARs, and compliance with global privacy regulations like GDPR and CCPA.
  • Provides tools for AI risk detection, protection, and undoing mistakes via Agent Commander, enabling safe scaling of AI agents at enterprise scale.
  • Automates data minimization to reduce cost, risk, and accelerate trusted AI at scale, addressing redundant, obsolete, or trivial data across cloud and SaaS.

Trade-offs

  • Can feel heavy and complex to implement and operate, requiring strong internal resources or partner support for deployment and ongoing management.
  • Security-ops-oriented DSPM and real-time detection remain less opinionated than some security-first platforms like Cyera or Sentra, which may prioritize cloud-native data security.
  • Pricing is not publicly disclosed, which can complicate budget planning and comparison with competitors that offer transparent, consumption-based pricing models.
  • The platform's broad scope may lead to feature overlap with existing tools, potentially increasing integration complexity and operational overhead for enterprises.

Pricing context

Pricing is not explicitly mentioned in the sources; typically enterprise-level with custom quotes based on data volume, number of assets, and required modules.

Getting started with Data Command Center

  1. Sign up for Data Command Center

    Visit the Securiti website and request a demo or trial for the Data Command Center. Provide your enterprise details and discuss your data security, privacy, and AI governance needs with the sales team to get access to the platform.

  2. Connect your data sources

    Use the platform's connectors to integrate your hybrid multicloud environments, including cloud services, SaaS applications, and on-premises databases. Configure credentials and permissions to allow the Data Command Graph to discover and catalog your data assets.

  3. Configure data discovery and classification

    Set up automated data discovery and classification policies using AI/NLP-driven techniques. Define sensitive data types and compliance requirements to reduce false positives and ensure accurate identification of shadow and cloud-native assets.

  4. Run a data security posture assessment

    Initiate a DSPM scan to evaluate the security posture of your sensitive data across all connected environments. Review the generated reports to identify misconfigurations, exposure risks, and compliance gaps, then prioritize remediation actions.

  5. Set up AI security and governance controls

    Deploy the Context-aware LLM Firewalls and Agent Commander to protect AI interactions. Define policies for safe AI adoption, including prompt firewalls and risk detection, then monitor AI systems for anomalies and unauthorized data access.

Frequently Asked Questions

What is Securiti Data Command Center?

Securiti Data Command Center is a unified platform for data and AI intelligence, controls, and orchestration across hybrid multicloud environments. It helps large enterprises manage data security, privacy, and compliance at scale by replacing disjointed point products with a single centralized hub.

What are the key features of Data Command Center?

Key features include Data Security Posture Management, AI Security & Governance, ROT Data Minimization, Context-aware LLM Firewalls, Data Discovery & Classification, Data Access Intelligence & Governance, and Data Flow Governance. These capabilities secure sensitive data, enable safe AI adoption, and automate compliance across hybrid multicloud environments.

How does Data Command Center handle AI security?

Data Command Center provides AI Security & Governance with risk detection, protection, and remediation for AI systems. It includes Context-aware LLM Firewalls to protect AI interactions and Agent Commander for detecting AI risk, protecting AI systems, and undoing AI mistakes to enable safe scaling of AI agents.

What is ROT Data Minimization in Data Command Center?

ROT Data Minimization automates the identification and removal of redundant, obsolete, or trivial data across cloud and SaaS environments. This reduces storage costs, lowers data risk, and accelerates trusted AI at scale by cleaning up unnecessary data that can hinder compliance and AI initiatives.

How does Data Command Center compare to competitors like BigID or Cyera?

Data Command Center competes with BigID, Cyera, and others, positioning as a broad privacy and governance hub with strong AI security emphasis. However, it can feel heavy and complex to implement, and its DSPM is less opinionated than security-first platforms like Cyera, making it best for organizations with strong internal resources.

What are the main weaknesses of Data Command Center?

Main weaknesses include heavy and complex implementation requiring strong internal resources or partner support. Its security-ops-oriented DSPM is less opinionated than some competitors, pricing is not publicly disclosed, and the broad scope may lead to feature overlap with existing tools, increasing integration complexity.

Alternatives

How Data Command Center compares

Direct head-to-head against 2 competitors. Picked by 7wData.

This tool

Data Command Center

Pricing
Pricing is not explicitly mentioned in the sources; typically enterprise-level with custom quotes based on data volume, number of assets, and required modules.
Target
Securiti's Data Command Center is a unified platform for data and AI intelligence, controls, and orchestration across hybrid multicloud environments, designed for large global enterprises
Strength
Unified platform for data+AI intelligence, controls, and orchestration across hybrid multicloud environments, replacing disjointed point products with a single journey.
Watch for
Can feel heavy and complex to implement and operate, requiring strong internal resources or partner support for deployment and ongoing management.

Osano

Pricing
Custom/Contact sales
Target
SMBs, enterprises
Deployment
Cloud
Strength
GDPR, CCPA compliance
Watch for
Limited customization options

OneTrust

Pricing
Custom/Contact sales
Target
Enterprises
Deployment
Cloud, on-prem
Strength
Comprehensive privacy management
Watch for
Complex setup, steep learning curve

User reviews

No user reviews yet. Be the first to write one.

Sources

Reporting on this tool draws on these publicly available sources.

  1. securiti.ai
  2. cybersectools.com
  3. cybersectools.com
  4. sentra.io