What feature ensures that none of the ES indexed data can be compromised through tampering?

The concept of data integrity control is fundamentally crucial in ensuring that the indexed data in Splunk Enterprise Security (ES) remains uncompromised and is protected from tampering. This feature provides mechanisms like checksums and hashing algorithms that verify the integrity of the data. By employing these methods, any unauthorized modification of the indexed data can be detected, thereby alerting the security administrators to potential integrity issues.

Data integrity controls work by creating a fingerprint of the data when it is ingested; if the data is altered in any way afterward, the fingerprint will not match, indicating that the data has been tampered with. This is key for maintaining trust in the data's accuracy and reliability, which is critical for effective security monitoring and incident response.

While data encryption secures data in transit and at rest by making it unreadable to unauthorized users, it does not inherently prevent tampering, as the data can still be altered. Access control settings ensure that only authorized personnel can access or modify the data, but they do not provide a check on whether the data has been changed. Audit logging tracks access and changes but does not actively protect the data from tampering itself. Therefore, the feature that specifically ensures against tampering is indeed data integrity control.