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Who is Cognni?
Cognni is a data security and governance platform that uses Artificial Intelligence (AI) to discover, classify, and monitor sensitive information across enterprise environments.
- AI-driven discovery and classification of unstructured and structured enterprise data
- Mapping of information flows to identify how sensitive data is created, accessed, and shared
- Risk detection for data exposure and misuse across collaboration and cloud productivity platforms (data security)
- Support for compliance-oriented data governance policies and controls (data governance)
- Integrations with enterprise productivity, storage, and security ecosystems
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More About Cognni
Cognni provides an AI-based data security and governance platform used by enterprises and institutions to locate and understand sensitive information across their digital environments. The platform focuses on unstructured content in tools such as email, document repositories, and collaboration suites, where manual classification and rule-based controls are often incomplete. By building an information map that reflects topics, business contexts, and access patterns, Cognni is intended to help security, compliance, and data governance teams manage data exposure risk and enforce internal policies.
The platform’s core capability is automated data discovery and classification (data security), using AI to infer categories such as intellectual property, financial records, HR data, or other business-specific topics. Instead of relying only on pattern matching or predefined labels, Cognni analyzes the semantics of documents, messages, and files to derive context. This context-aware mapping allows organizations to monitor where sensitive information resides, who has access to it, and how it moves between users, departments, and external entities.
Cognni is typically positioned within the enterprise security stack alongside Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), and Security Information and Event Management (SIEM) tools. While traditional DLP often focuses on content inspection and policy-based blocking, Cognni emphasizes information-centric visibility, surfacing insights about data flows and usage rather than only enforcing point-in-time content rules. In environments that use cloud productivity suites and collaboration platforms, Cognni can provide an additional layer of classification and risk assessment that feeds into existing security and compliance workflows.
From an architectural perspective, Cognni connects to enterprise systems via APIs provided by cloud productivity and collaboration platforms, as well as storage and content services. It ingests metadata and content where permitted, applies AI-based analysis, and then exposes results through dashboards, alerts, and integrations into Security Operations (SecOps) or governance tools. The platform is designed to support continuous monitoring, so that changes in access, sharing patterns, or document content can be reflected in updated risk assessments and information maps.
For directory and marketplace categorization, Cognni aligns with data security, data governance, and information protection solution areas. It fits into categories such as data discovery and classification, information risk management, and compliance support for unstructured data. Organizations typically evaluate Cognni when they need broader visibility into sensitive information across collaboration tools and cloud suites, or when they want AI-generated insights about data usage to complement existing DLP and access control strategies.
Our description of Cognni. Updated December 2025.
