The story behind Matters AI's funding journey
Product Deep-Dive
See how to detect real-time data threats, classify sensitive files, and monitor database queries entirely inside your perimeter with zero performance hit.
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Request recording access→Most security tools force you to ship raw data to the cloud just to monitor it. In this technical deep-dive, we break down how to run real-time threat detection, ML classification, and query-level database monitoring entirely inside your perimeter without slowing down production workloads. You will learn how pairing DSPM with DDR cuts false positives, keeps your enterprise fully compliant with the DPDP Act, and secures sensitive data without a single byte leaving your datacenter.
Discovering and classifying sensitive data across file servers, apps, and databases using intelligent sampling at scale.
Real-time Database Activity Monitoring (DAM) across PostgreSQL, MySQL, Oracle, and MSSQL with zero performance overhead.
Wiring DSPM and DDR together to judge live access against true data sensitivity, slashing alert noise.
Understanding the strict trust boundary where only security signals leave, while raw data stays 100% inside your perimeter.
Meeting Indian compliance standards with local processing and built-in technical safeguards.
Founding Engineer
An engineer focused on platform infrastructure, Shubham builds the internal services and integrations behind Matters.AI, engineering the systems that connect data sources, orchestrate workflows, and keep the platform running reliably inside the customer's own environment.
Founding Engineer
An engineer focused on data intelligence and orchestration, Yash Raj owns the end-to-end classification platform behind Matters.AI, engineering the orchestration framework and distributed systems that power accurate, scalable data classification inside the customer's own environment.
Founding Engineer
An engineer focused on real-time data security, Vaibhav builds the Data Detection and Response systems behind Matters.AI, engineering the distributed pipelines that monitor how sensitive data is accessed and moved inside the customer's own datacenter.
