Securiti Data Command Center
Command Your Data AI Everywhere — unified intelligence and controls across hybrid multicloud environments.
Last verified April 26, 2026About Securiti Data Command Center
Securiti's Data Command Center is a unified platform for data security posture management (DSPM), AI security, data privacy, and governance across hybrid multicloud environments, powered by the Data Command Graph knowledge graph. Its AI Security & Governance module enables AI model discovery, risk assessment, data and AI mapping, access controls, and regulatory compliance automation across cloud, SaaS, and on-premises AI systems. In December 2025, Securiti AI was acquired by Veeam Software for $1.725 billion to form what Veeam calls the industry's first "Trusted Data Platform."
Framework coverage
Coverage claims documented by Securiti Data Command Center on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
EU · in force
US · voluntary
Capabilities
Features Securiti Data Command Center markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
AI Model Inventory
Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Policy Management
Authoring, versioning, and distribution of AI usage policies mapped to regulations.
Data Lineage
Tracking the origin, movement, transformations, and consumers of data used to train and serve AI systems — required for EU AI Act Article 10 data governance and GDPR Article 30 record-keeping.
Audit Logging
Tamper-evident logging of governance events (approvals, model changes, policy decisions) required by EU AI Act Article 12 and similar regulations.
Third-Party AI Vendor Risk
Intake and assessment of AI features in third-party SaaS used by the organization.
Regulatory Intelligence
Ongoing tracking of AI laws, standards, and enforcement, mapped to your model inventory.
LLM Guardrails
Runtime input/output filtering for LLMs — PII redaction, toxicity blocking, prompt injection defense, policy enforcement.
AI Incident Response
Documented workflows for detecting, investigating, and remediating AI-related incidents including bias events, safety failures, and security breaches.
Third-Party AI Risk Management
Due diligence and ongoing monitoring of AI vendors, subprocessors, and foundation model providers against compliance and security criteria.
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