
Your AI security engineer for data, protecting sensitive information wherever it travels and lives.
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Matters.AI goes beyond traditional DLP rules by employing real-time behavioral analysis and content awareness to detect and respond to suspicious data movement. It understands data context, tracks its lineage, and analyzes user intent, whereas legacy DLP often relies on static rules and pattern matching, leading to noisy alerts and missed threats.
Matters.AI protects data across a wide range of environments, including hybrid clouds, SaaS applications, endpoints, microservices, and AI pipelines. It is designed to secure data wherever it lives or travels.
Matters.AI identifies risky patterns early by understanding who is interacting with sensitive data, how, and why. It fuses behavioral intelligence with enterprise knowledge graphs to connect identities, roles, and intent, providing real protection beyond simply flagging access.
The core innovation is building an AI Data Security Engineer. This is achieved through a foundation of semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, allowing it to understand context, anticipate risk, and take proactive action.
Yes, Matters.AI enriches its unified inventory of sensitive data with risk scoring and regulatory mapping for standards such as DPDP, GDPR, HIPAA, and SOC 2, helping organizations maintain compliance.
No, Matters.AI is designed for integration in minutes without the need for blind spots, proxies, agents, or generating noisy alerts.
Source: matters.ai