Sensitive data scanning – log data identification and anonymization management

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What problems do sensitive data scanning solve?

Use sensitive data scanning to reduce compliance risks in logs and observation data

When logs and observation data may include phone numbers, ID numbers, keys, or tokens, sensitive data scanning helps teams identify risk fields and work with desensitization, permission, and governance strategies to reduce compliance pressure.

01There are many logs, so first scan the data that truly has risks by scopeSensitive data scanning supports locking logs or observation data to be checked by data range, index, field, and filtering criteria.
02Built-in rules cover common sensitive information and also support business customizationBuilt-in rules can identify common sensitive content such as personal information, account numbers, keys, tokens, credit card numbers, and can also customize matching rules according to business log formats.
03Once discovered, it must be addressable, and the desensitization rules should be applied to query and shared linksSensitive data can be desensitized and displayed through replacement, partial hiding, encryption, or hashing.

There are many logs, so first scan the data that truly has risks by scope

Sensitive data scanning supports locking logs or observation data to be checked by data range, index, field, and filtering criteria. Teams can first identify risk distributions before desensitizing, deleting, or converging access to which fields are needed.

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There are many logs, so first scan the data that truly has risks by scope

Built-in rules cover common sensitive information and also support business customization

Built-in rules can identify common sensitive content such as personal information, account numbers, keys, tokens, and credit card numbers, and can also customize matching rules according to business log formats. This allows security and platform teams to turn compliance requirements into actionable scanning strategies.

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Once discovered, it must be addressable, and the desensitization rules should be applied to query and shared links

Sensitive data can be desensitized and displayed through replacement, partial hiding, encryption, or hashing. For logs, snapshots, and troubleshooting evidence that need to be shared across teams, desensitizing before collaborating can significantly reduce the risk of data leaks.

Book a demo View documentation

Once discovered, it must be addressable, and the desensitization rules should be applied to query and shared links

Frequently asked questions

What can sensitive data scanning recognize?

Sensitive data scanning can identify mobile phone numbers, ID numbers, accounts, tokens, keys, credit card numbers, IPs, and business-customized sensitive fields, helping teams discover leak risks in logs and observation data.

What should be done after discovering sensitive data?

Teams can combine desensitization rules, access permissions, pipeline processing, and data governance policies to hide, replace, encrypt, or restrict access to sensitive fields.

How does scanning sensitive data help with compliance?

It helps enterprises identify sensitive information before log queries, troubleshooting sharing, snapshots, and long-term storage, reducing risks related to personal privacy, credential leaks, and compliance audits.

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