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Matters.AI

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14 reviews
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5.0
Serving customers since
2025
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Matters.AI - AI Security Engineer for Data

14 reviews

Matters.AI is an AI Security Engineer for Data, a unified data security platform designed to provide continuous visibility, detection, and response across cloud, SaaS, endpoint, and data environments. The platform consolidates multiple data security capabilities into a single system, including data discovery and classification, data detection and response (DDR), insider risk monitoring, database activity monitoring (DAM), and real-time policy enforcement. As an AI Security Engineer for Data, Matters.AI uses large language models (LLMs), behavioral analytics, and machine learning to automatically classify sensitive data, map data movement, correlate access activity, triage alerts, and assist in investigation workflows typically handled by L1 and L2 security teams. Key capabilities include: 1. Unified Data Discovery & Classification across structured and unstructured data sources 2. Behavioral Detection Models to identify anomalous data access and misuse 3. Runtime Policy Engine (powered by OPA) for predefined and custom enforcement policies 4. Real-Time Monitoring of Data Egress and Exfiltration Risks 5. Correlated Security Alerts with Investigation Context 6. Automated Alert Triage and Investigation Assistance Matters.AI helps organizations operationalize data protection requirements related to regulations and frameworks such as GDPR, DPDP, HIPAA, PCI-DSS, SOC 2, and ISO 27001 by providing continuous visibility into where regulated data resides, how it moves, and who accesses it. The platform supports both agentless and agent-based deployments and integrates with modern cloud infrastructure, SaaS platforms, databases, and endpoints to help security teams reduce manual investigation effort, improve detection accuracy, and maintain ongoing governance over sensitive data.

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Biswajit S.
08/19/2026
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Verified Current User
Review source: Organic

Worked across our AWS and SaaS stack without drama

I value tools that give my team back time. Matters does that by cutting out the manual reconciliation work we used to do across separate scans. Scans run continuously and pick up new data stores as our infrastructure grows. We do not have to remember to re-scope coverage. False positive rate is the lowest I have seen in a DSPM tool. It changes the conversation from 'is this real' to 'how do we fix this'. Coverage across AWS, GCP, and our SaaS stack works without us having to babysit individual integrations. Insider risk indicators are tied to data movement rather than purely behavioral analytics, which makes alerts more credible. Integration into our existing SIEM and ticketing tools was straightforward. The platform plays well with the stack we already have. What we get out of it now is a meaningful step up from where we were before.
AP
Avinash P.
08/18/2026
Validated Reviewer
Verified Current User
Review source: Organic

Sharpest reduction in data risk we have measured year over year

A cloud platform business holds tenant data, configuration data, and workload metadata across regions and accounts. Coordinating between security and engineering used to involve a lot of back and forth. The shared view in Matters has cut that out. The remediation guidance is specific enough that the receiving engineer knows what to do without a separate conversation. False positive rate is the lowest I have seen in a DSPM tool. It changes the conversation from 'is this real' to 'how do we fix this'. Integration into our existing SIEM and ticketing tools was straightforward. The platform plays well with the stack we already have. Insider risk indicators are tied to data movement rather than purely behavioral analytics, which makes alerts more credible. The platform identifies sensitive data inside log files and backup snapshots, which other tools we tried completely missed. It has freed up real time for the team to focus on the higher-impact work.
SG
sameer G.
08/18/2026
Validated Reviewer
Verified Current User
Review source: Organic

Data SecurityThe platform behind our most successful audit cycle yet

The Platform reduced our weekly data audit work from form a full afternoon to maybe an hour. our payments business handles transaction data and customer PII at volume and that needs continuous oversight not point in time audits. Sensitive data discovery in SaaS apps like google workspace and slack has been a useful addition to what we get from cloud scan data lineage tracking shows us where sensitive content originated and where itit has been useful for incident scoping. the data fingerprinting approach lets us track our specific data assets, not just generic pattern matches. The platform identifies sensitive data inside log files and backup snapshot whic other tools we tried completely missed. it does the job we hired it to do and it does well

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HQ Location:
Palo Alto, US

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@matters_ai

What is Matters.AI?

Matters.AI is a data security platform that works as an AI Security Engineer for your data. Most organizations run DSPM, DLP, insider risk, and database monitoring as separate tools. Matters.AI brings all of it into one platform. It continuously discovers sensitive data, traces where it moves, monitors who accesses it, and stops exfiltration before data leaves. It does not just match patterns. It understands context. Who touched the data, whether that behavior makes sense, and what happened next. That is how real threats get caught. Covers cloud, SaaS, endpoints, and on-premises. Agentless. Live in 30 days.

Details

Year Founded
2025
Website
www.matters.ai