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Database Activity Monitoring (DAM)

Real-Time DDR for Human, Machine, and AI Identities.

Secure your data layer against prompt-driven exfiltration, insider threats, and over-permissioned AI agents before data leaves your ecosystem.

 
PROBLEM
Databases are the heart of the enterprise, yet most organizations are blind to what happens inside the engine.

Identity Fragmentation

LLM applications translate prompts into database actions under generic service accounts, blinding legacy DAM to the true actor and human intent.

Static Log Blind Spots

Rogue agents bypass SQL injection alarms by using low-and-slow semantic or vector searches to systematically drain data undetected.

Data in Motion Vulnerabilities

DSI only scans data at rest. Without visibility into active data pipelines, security teams remain blind to live machine abuse.

SOLUTION
Intent-Aware Data Protection
Continuous visibility and automated enforcement across your entire enterprise data layer to block threats and govern autonomous AI-agent behavior.

Identity-Aware DAM

Unmasks the true actor by binding human identities to the specific autonomous AI agents executing backend database queries.

Semantic Classification

Analyzes the underlying intent of natural language prompts to detect abnormal AI-agent behavior before data is extracted.

Real-Time Lineage

Tracks sensitive data in motion as it streams directly into LLM context windows and connected AI pipelines.

Agentic Remediation

Deploys automated, machine-speed defenses to instantly isolate over-permissioned AI agents and redact unauthorized database payloads inline.

The Matters Standard

Neutralizes prompt-driven data exfiltration and machine abuse by shifting from static logging to active agent governance.

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Security gaps don't wait. Neither should you.

Matters gives you instant visibility, prioritized risks, and guided fixes all in one platform.