Coralogix and Skyflow have jointly announced a strategic partnership to address what is perhaps one of the most important issues facing organizations today in the realm of observability. The partnership has led to the creation of a solution that offers a new, privacy-first solution to help organizations balance the need to protect their customer data with the need to have operational visibility.
Today, organizations are increasingly depending on observability to drive their debugging, incident response, and automation processes. As a result, organizations are seeing their sensitive information being represented in structured and unstructured logs. Traditionally, organizations have employed techniques like data redaction to remove this risk, but in the process, they have lost some important context, making it harder to derive meaningful insights.
The Coralogix – Skyflow integration takes a different path by safeguarding sensitive data by default while preserving its analytical value. Instead of removing information, Skyflow replaces sensitive elements with consistent, privacy-preserving tokens. This enables teams to maintain accurate searchability and event correlation, while the original data remains securely governed and accessible only through controlled policies.
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“The traditional approach of redaction creates a false trade-off between safety and usefulness,” said Anshu Sharma, CEO of Skyflow. “Once sensitive data is stripped out, teams lose the ability to search effectively, investigate incidents, or let AI agents reason over what actually happened. As a Runtime AI Data Control Platform, Skyflow ensures sensitive customer data stays governed and isolated, while observability data remains fully usable.”
Ariel Assaraf, the CEO of Coralogix, pointed to the operational benefits of the deal, stating that organizations should not have to make trade-offs between security and efficiency. With the Coralogix observability platform and Skyflow‘s data governance capabilities, organizations will be able to achieve security and efficiency.
The solution will also address the issue of data residency and sovereignty through region-specific deployments of the solution. This is especially important for organizations that operate in heavily regulated environments.
With the combination of privacy, compliance, and AI-readiness, the partnership is aiming to put observability in a position that is both secure and efficient. This will enable organizations to utilize their data in a more secure fashion in a more automated environment.