Continuous data security monitoring and posture management

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

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Before Immuta
  • Organizations find it difficult to identify, categorize, and track sensitive data
  • It’s difficult to prove data-sharing compliance
  • It’s difficult to monitor and measure data security risk based on access activity
After Immuta
  • Continuously monitor changes in user behavior and user entitlements
  • Continuously monitor security configuration and data classification changes
  • Consolidated data access logs for analytics
Access Behavior Analytics

Get insights, including deep-dive drill downs into data access behavior, queries run over time, sensitive data indicators, and configuration and classification changes.

Sensitive data views and indicators

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

Agile Risk Severity Scoring

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

SIEM Integration

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

Explore more of Immuta's Capabilities


Sensitive data discovery and classification

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Security and data access control

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Continuous user and data activity monitoring

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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.

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