Coralogix and Skyflow have announced a strategic partnership to deliver privacy-safe observability tailored for the AI era. The collaboration enables organizations to protect sensitive customer data embedded in logs and telemetry by default, while maintaining full usability for searches, investigations, incident response, and AI-driven operations across human and intelligent systems.
Logs and telemetry remain essential for debugging, security analysis, incident response, and AI workflows, yet frequently contain sensitive customer data in both structured and unstructured formats. Traditional methods that mask or remove this data create significant drawbacks, such as degraded search capabilities, broken event correlations, loss of context for AI tools, and the need for risky workarounds.
Skyflow and Coralogix replace sensitive values with consistent, privacy-preserving tokens rather than permanently stripping them out. This maintains the integrity and queryability of logs while keeping the original sensitive data governed, isolated, access-controlled, and fully auditable in Skyflow’s Runtime AI Data Control Platform. Teams retain the ability to investigate incidents effectively and allow AI agents to reason over complete, contextualized telemetry without direct exposure to protected information.
Coralogix supports region-specific deployments to align with data residency mandates. Integrated with Skyflow’s runtime controls, this combination ensures sensitive customer data remains governed and isolated according to policy, minimizing cross-border exposure in multi-region or highly regulated setups. Observability data stays local, compliant, and fully operational.
The partnership empowers organizations to achieve privacy-safe observability that is AI-native by design. Key capabilities include keeping sensitive data out of logs, dashboards, and downstream tools; preserving advanced search and correlation; allowing secure AI agent operations on telemetry; supporting policy-based rehydration for approved use cases; and reducing overall data sprawl while enhancing compliance across the observability ecosystem.
“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, Coralogix CEO, said: “Coralogix customers rely on observability data as a trusted system of record—supporting engineers, security teams, and the growing demands of AI-driven automation. They shouldn’t have to choose between safeguarding sensitive customer data and maintaining operational efficiency. By partnering with Skyflow, we ensure they can achieve both seamlessly.”
About Coralogix
Coralogix is a leading observability platform that helps organizations understand, visualize, and act on their logs, metrics, and traces in real time. By uniting high-performance analytics with AI-driven intelligence through its multi-agent assistant Olly, Coralogix enables customers to achieve operational excellence, strengthen data and cloud observability, enhance digital experiences, and reduce observability costs at scale. Thousands of teams worldwide—including leaders in fintech, e-commerce, gaming, and SaaS—trust Coralogix to power their cloud-native observability.
About Skyflow
Skyflow secures the flow of data across datastores, models, and agents. The company is trusted by Fortune 500 and growth startups across financial services, healthcare, travel & hospitality, and retail.
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