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Matters.AI - AI Security Engineer for Data

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(27)5.0/5

Matters.AI is a data-security platform that combines Data Security Posture Management (DSPM), Data Detection and Response (DDR), Database Activity Monitoring (DAM), User and Entity Behavior Analytics (UEBA), Insider Risk Management, Data Governance, sensitive data classification, cloud data security, and data lineage in one platform. Its data lineage engine continuously tracks the sequence of activity around sensitive data: what a user accessed, where the data came from, how it was transformed, where it moved, which applications or processes interacted with it, and where it left the environment. This produces a behavioral and data lineage graph that spans databases, cloud, SaaS, on-premises systems, and endpoints. The DDR engine uses this lineage, along with UEBA and intent-based analytics, to flag anomalies that are hard to spot in individual events. For example, a database query, a file download, and an upload to an approved cloud service may each be legitimate on their own but together point to possible exfiltration. Cloud and SaaS sources connect through agentless APIs, on-premises systems use a lightweight agent, and endpoints use on-device small language models for classification. When an incident is detected, Matters.AI generates an Evidence Pack that lists the sensitive data affected, the identities involved, the activity lineage, data movement, detected anomalies, and response actions. Actions such as access revocation, masking, encryption, and quarantine run only after human approval. Security teams use Matters.AI to investigate data incidents as a connected sequence of events rather than as separate alerts.

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