Use Case

Data Security Posture Management

Continuous Data Monitoring & Risk Analysis

Immuta’s Data Security Posture Management (DSPM) capabilities enable data and security teams to continuously monitor data usage, conduct real-time risk analysis based on data sensitivity and risk tolerances, and take immediate steps to remediate those risks by changing data policies. As part of an integrated Data Security Platform, you can reduce your attack surface and stay in compliance.

The Challenge with DSPM

DSPM tools have grown popular as organizations struggle to keep track of data across sprawling cloud repositories. In some ways, they are the next evolution of data loss prevention (DLP) solutions that are less manual to use and more cloud native.

The problem with most DSPM tools is that they lack policy enforcement. Without policy enforcement, remediating a known data access risk is slow and manual. This is true for both point solutions and DSPM offerings from larger CSPM (Cloud Security Posture Management) vendors.

Proactive Risk Analysis & Policy Management

See user query behavior, audit events, and data sensitivity in real-time. Only Immuta provides this unified view and the ability to proactively change data access policies in the same platform.

Immuta Detect Data Source Overview

Simple Risk Scoring

Find your sensitive data — including PII, PHI, and financial information — and automatically classify it as highly sensitive, sensitive, or non-sensitive based on existing metadata.

User Behavior Analysis for Ongoing Compliance

View detailed analyses of individual user and data activity, summarized for time frames, data access events categories, most active data sources, and sensitive data indicators.


Data Security Posture Management at Roche

Roche built a data mesh to support 200+ data products, and leverages Immuta to protect the data and monitor usage.

“With Immuta, we can give our data product team tools to govern their own policies and access control. It allows them to do it a little quicker, a little more efficiently, and they understand their own data.”

Paul Rankin Head of Data Management Platforms
Immuta Features

The Immuta Advantage

Immuta provides the right set of capabilities to reduce the risk of data misuse.

Policy Management

Immuta doesn’t just give recommendations – we make it simple to change the actual data access policy and enforce it everywhere.

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Data Discovery & Classification

Leverage existing metadata from a data catalog or use Immuta’s built-in classifiers to quickly identify your sensitive data.

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User Behavior Analysis

Quickly see a live view of active data usage, as well as the full query history across all users.

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Automated Risk Scoring

Use risk frameworks to classify data as sensitive or non-sensitive, and set thresholds for alerts so you can zero in on the biggest threats.

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Unified Auditing & Reporting

Monitor data access with unified audit and reporting across all domains to simplify proof of compliance.

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SIEM Integration

Easily integrate with SIEM technologies such as Splunk and Snowflake to streamline risk remediation.

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Comprehensive DSPM Solutions

Without Immuta With Immuta
Data is stale by the time it's ready for analysis
Analyze data in real time

Reactive threat responses are often too late to avoid harm
Proactively remediate risks and address threats

Disparate auditing and reporting creates compliance gaps
Prove compliance system-wide with unified auditing

Security is managed inconsistently across platforms
Integrate DSPM capabilities quickly and easily

Frequently Asked Questions

What is data risk analysis?

A data risk analysis, also known as a data risk assessment, is the process of comprehensively evaluating the potential risks to your data. Since no organization’s data assets and practices are the same, there is no standard model for a data risk analysis. Rather, you should take regular stock of the data you possess, where it is stored, who has access to it, and how it is used. This can be done using common risk assessment frameworks such as NIST and ISO. By understanding these factors, you can analyze which threats are most likely to impact your data, and create preventative measures to stave off these risks.

What are the benefits of continuous security monitoring?

Data security should not be a “set it and forget it” activity – the threat landscape is always evolving, and security measures must evolve with it. Continuous security monitoring provides always-on coverage, so you can maintain constant oversight over your data resources, users, and platforms, and proactively respond to any anomalous or risky behavior in their ecosystem. This kind of continuous security monitoring can help keep your data security both proactive and reactive to threats.

What is posture management?

Posture management holistically refers to data security measures that protect data resources from leaks, breaches, or other risks. It is informed by a combination of industry standards, organizational policies, and regulatory frameworks, in order to provide complete and compliant data protection. Posture management can include measures such as risk scoring and analysis, continuous monitoring, and user behavior tracking, among others.

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