Detect

Continuous Data Security Posture Management

Immuta Detect provides timely insights into risky user data access behavior, which enables data security posture management and risk remediation above policy thresholds.

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Our Value

Protect Data with Proactive Risk Detection

Immuta Detect enables user activity monitoring that helps detect potential risks, so you can proactive mitigate or respond to them. With always-on monitoring and detection, you can:

Understand how your sensitive data is being used and by whom, at all times

Identify anomalies in data access before they can become larger issues

Gain insights into your data ecosystem’s security blindspots and risk profile

Easily audit data use for compliance with regulations like GDPR, HIPAA, and more

Access Behavior Analytics

Get insights, including deep-dive drill downs, into data access behavior, query histories, sensitive data indicators, and configuration and classification changes.

Agile Risk Severity Scoring

Understand data’s sensitivity level and risk profile with detailed visualized breakdowns, so you can proactively put safeguards in place to mitigate threats.

Sensitive Data Views & Indicators

Detailed analysis of individual user and data activity, summarizing usage across several factors including time frame, data access events categories, most active data sources, and sensitive data indicators.

SIEM Integration

Easily integrate with SIEM technologies such as Splunk and Snowflake to consolidate and streamline data security posture management.

Covering the Full Data Security Spectrum

Once you know your potential risks, you can take action to mitigate them before they start. Knowing what data you have, where it resides, and what policies are in place to protect can increase your data security posture management and give you peace of mind that your data is protected from end to end.

Find out more about the Immuta Data Security Platform

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Partners

Monitoring Data,
Wherever It Lives

Natively integrating with the Data Cloud gives you visibility into how your Snowflake data is being used.

Connecting with Databricks helps monitor data activity across the entire lakehouse platform.

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Customers

Unlock Value From Your Data

Before Immuta, we could not make our data widely available to the users due to security concerns. Immuta has allowed us to open up the data to a wide variety of users.

Tina Headrick Senior Manager of Data Governance & Privacy
100%

auditable compliance with GDPR and Schrems II

PSP license

achievement from a major finserv regulator

400%

increase in permitted use cases

100x

faster access to data

See our customers' stories

Frequently Asked Questions

What questions can I answer with Immuta Detect?
  • Which users were active in the past 24 hours, 7 days, or any other custom time?
  • Who are the most active users?
  • What queries a user ran?
  • Was sensitive data accessed by a user? What columns in the query are sensitive?
  • Which tables were accessed in the past 24 hours, 7 days, or any other custom time?
  • What are the busiest tables?
  • Does a table contain sensitive data? What columns are sensitive?
  • Who are the users that accessed a specific table?
  • What tags changed, and who changed them?
Why do you need to audit data?

Organizations should audit data for multiple important purposes. On one hand, auditing data can provide insights into its quality, security, usage, and efficacy as a resource for various organizational purposes. Beyond quality assurance, auditing data allows teams to maintain a single source of truth for proving compliance with data rules, laws, and regulations. A comprehensive data audit will show whether or not a group’s data practices and systems are compliant with the regulations they are subject to, either proving to regulatory bodies that they are following the rules or showing directly that they are not.

What is an audit trail?

An audit trail is a detailed log of every action or activity taken related to data or reports in your information ecosystem. This includes any time data is created, modified, relocated, or deleted by system users. This should be the source of truth for any actions taken within a given data stack, used to monitor activity and prove compliance if/when necessary.

What is the purpose of audit trails?

The purpose of data audit trails are that they keep holistic tabs on the activity occurring in a data ecosystem. By maintaining a comprehensive trail of what data users are doing with this information, teams can identify any changes and protect against unintended or unauthorized modifications. They can also prove compliance with regulatory measures, using the audit trail as a primary source of how their data is being stored, accessed, and used in accordance with relevant rules.

Featured Resources

The Latest In Data Security

Guide
Insider Risk Management: What CISOs Need to Know
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2023 State of Data Engineering Survey
Blog
Immuta Detect Provides Continuous Cloud Data Security Posture Management

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