Coralogix and Skyflow Move Observability Into the Privacy Era
Coralogix does not operate at the surface. It lives where systems confess, where logs stack into patterns and patterns turn into decisions. That is the layer Ariel Assaraf, Co-founder and CEO of Coralogix, has been sharpening for years, building an observability platform trusted as a system of record across engineering and security teams. But the deeper the visibility, the sharper the risk. Sensitive data does not just pass through logs anymore. It lingers, it compounds, and now it feeds AI. That shift pulls observability out of the backend and drops it directly into the center of tech news, where infrastructure choices start carrying regulatory weight.
On March 19, 2026, Coralogix partnered with Skyflow, led by Co-founder and CEO Anshu Sharma, to confront that tension head-on. The move is surgical. Skyflow’s runtime data control and privacy vault integrate directly into Coralogix’s observability pipeline, allowing sensitive data to be tokenized rather than stripped. That distinction matters. Strip the data and you lose context. Tokenize it and you keep the logic intact while locking down exposure. The logs stay useful. The data stays governed. And the system does not have to choose between performance and compliance.
This is where the story sharpens. Observability used to be about debugging systems. Now it is feeding AI agents, powering automation, and shaping decisions in real time. Logs are no longer exhaust. They are input. And that puts pressure on how data is handled at the infrastructure layer. Skyflow’s model isolates sensitive data, applies policy-based access, and allows controlled rehydration only when needed. Coralogix ensures that everything around it remains searchable, traceable, and operationally intact. Together, they are building a version of observability that does not collapse under compliance pressure.
Ariel Assaraf framed it clean: teams should not have to trade off between protecting customer data and running efficient systems. Anshu Sharma pushed the consequence. Remove sensitive data entirely and systems lose the ability to investigate, to search, to let AI reason. That gap has been tolerated for years. Now it is becoming a blocker. This partnership closes it with precision, and it lands at a moment when AI-driven infrastructure is forcing every company to rethink what data is allowed to flow and what must be contained.
Zoom out and the signal is clear. This is not just a feature integration. It is a shift in how observability is defined. Privacy is no longer a layer added after the fact. It is becoming native to the pipeline itself. In a cycle dominated by speed, scale, and automation, this move plants a flag inside tech news that says control matters just as much as visibility.
The companies that win from here will not be the ones that collect the most data. They will be the ones that know exactly how to handle it without breaking the systems that depend on it, and that tension is only getting tighter inside the next wave of tech news.