Securiti offers the Data Command Center, a unified platform that uses a knowledge‑graph‑driven Data Command Graph to automatically map and classify data, AI models, and configurations across hybrid multicloud and SaaS environments. The solution provides integrated data security posture management, automated compliance enforcement, AI risk detection, and context‑aware LLM firewalls, enabling enterprises to enforce least‑privilege access, data minimization, and regulatory compliance from a single console.
Funding
$231M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises must manage data security, privacy, compliance, and AI governance across hybrid multicloud environments using a patchwork of point solutions, leading to inconsistent controls, high operational cost, and increased risk of data breaches and AI misuse.
Solution
Securiti delivers the Data Command Center, a unified platform built on the Data Command Graph knowledge graph that automatically captures contextual metadata for data, AI models, and configurations across on‑prem, cloud, and SaaS assets. The platform provides integrated posture management, automated data discovery and classification, access intelligence, and AI risk detection, enabling organizations to enforce least‑privilege access, data minimization, and regulatory compliance from a single console. Built‑in AI‑aware firewalls and agent‑centric security controls protect generative AI interactions and AI agents throughout their lifecycle. By consolidating these capabilities, Securiti reduces tool sprawl, streamlines governance workflows, and accelerates safe AI adoption across the enterprise.
Target Audience
Primary customers are large enterprises that need integrated data security, privacy, and AI governance for hybrid multicloud and SaaS environments, including security, data, compliance, and AI development teams.
Features
- Knowledge‑graph‑driven Data Command Graph that continuously maps data assets, AI models, entitlements, and regulatory requirements across hybrid multicloud environments
- Automated discovery and classification of structured, semi‑structured, and unstructured data, including shadow and cloud‑native assets
- Data Security Posture Management with 800+ pre‑defined compliance rules and automated remediation of misconfigurations
- AI risk detection and Agent Commander to monitor, protect, and undo unsafe AI agent behavior
- Context‑aware LLM firewalls that enforce prompt, retrieval, and response policies for generative AI interactions
- Data minimization (ROT) automation to identify and purge obsolete or redundant data, reducing storage cost and exposure
- Fine‑grained access intelligence and least‑privilege enforcement with dynamic masking and policy‑based controls
- End‑to‑end data lineage and real‑time streaming governance for comprehensive impact analysis and auditability