Coralogix has announced a strategic partnership with Skyflow to help organizations better protect sensitive customer data within logs while maintaining full observability and operational efficiency. The collaboration introduces a new approach to handling sensitive information in telemetry, ensuring that security does not come at the expense of usability or performance. Logs and telemetry are essential for modern operations, supporting debugging, incident response, security analysis, and increasingly, AI-driven workflows. However, these data streams often contain sensitive customer information embedded in both structured and unstructured formats. Traditional methods rely heavily on redaction or masking, which removes sensitive data but also strips away valuable context, making logs harder to search, correlate, and analyze.
The joint solution from Coralogix and Skyflow takes a different approach by protecting sensitive data while preserving its analytical value. Instead of removing information entirely, Skyflow replaces sensitive elements with consistent, privacy-preserving tokens. This allows organizations to maintain searchable and actionable logs while ensuring that the underlying data remains secure, governed, and accessible only under strict policies.
Anshu Sharma, CEO of Skyflow, explained that conventional redaction methods create a trade-off between security and functionality. By contrast, Skyflow’s runtime data control platform keeps sensitive information protected and isolated, while still enabling teams and AI systems to work with meaningful data.
Coralogix CEO Ariel Assaraf emphasized that observability data serves as a critical system of record for engineering and security teams. He noted that organizations should not have to choose between safeguarding customer data and maintaining efficient operations, and that the partnership ensures both objectives can be achieved simultaneously.
The limitations of traditional approaches are well documented. When sensitive data is removed, identifiers may no longer align across events, reducing the effectiveness of search and correlation. This can also limit the capabilities of AI tools, which depend on contextual data to function accurately. In some cases, teams may even introduce risky workarounds to regain lost functionality By implementing tokenization instead of redaction, the new solution preserves data relationships and usability while centralizing control over sensitive information. This approach also supports compliance requirements, as access to original data is tightly governed and fully auditable.
The partnership further addresses data residency and sovereignty concerns. Coralogix enables organizations to deploy observability workloads in specific regions, and when combined with Skyflow’s data control capabilities, businesses can ensure that sensitive information remains isolated and compliant with local regulations. This is particularly important for organizations operating across multiple jurisdictions As AI becomes more deeply integrated into observability platforms, the need for secure data handling grows. The combined solution allows AI systems to analyze telemetry safely without direct access to raw sensitive data, while enabling controlled access when necessary With this collaboration, Coralogix and Skyflow aim to provide organizations with a modern, compliant, and AI-ready observability framework one that protects sensitive data without compromising visibility or operational effectiveness.
Recommended Cyber News:
To participate in our interviews, please write to our CyberTech Media Room at info@intentamplify.com
