CAVA Cut False Positives from 12 a Day to Zero with Upwind
Before Upwind, we were getting about 9 to 12 false positives a day. With Upwind, if there is an alert, we take it seriously because we don't get false positives.”
About CAVA
CAVA is a fast-growing restaurant brand focused on modern Mediterranean food, powered by a highly dynamic cloud environment that supports everything from digital ordering to in-store operations.
As the business scales, their security team is responsible for protecting an API-driven infrastructure where services are constantly evolving. That requires more than knowing what exists. It requires understanding how systems behave in real time.
CAVA chose Upwind to move beyond static visibility and gain real-time context into how their environment actually runs.
Challenges
- Too many false positives: Existing tools generated constant noise, with alerts that rarely led to real issues and slowed down the team.
- Too many disconnected tools: Managing multiple panes of glass made it difficult to get a clear, unified view of the environment.
- Limited visibility into runtime behavior: Tools showed what was exposed, but not what was actually happening inside the environment.
- Incomplete API security context: API tools provided external discovery, but lacked insight into internal service interactions and data flow.
Solutions
- Runtime visibility from the inside out: CAVA can now see how services, APIs, and systems actually behave in real time.
- Unified API security: Upwind combines external exposure with internal runtime context to provide a complete view of API activity.
- Clear, actionable signals: False positives dropped significantly, giving the team confidence that when an alert surfaces, it’s worth investigating.
- Faster investigations: Engineers can understand service communication, network flows, and behavior without stitching together multiple tools.
- Built for engineers: The platform is intuitive for both new and advanced users, from high-level views to deep technical detail.
Why CAVA Chose Upwind
CAVA didn’t adopt Upwind to add another security tool. They adopted it because their existing approach wasn’t giving them the context they needed to actually secure their environment. Like many teams, they were using multiple tools across cloud and API security, but those tools could only show inventory and external exposure. They couldn’t explain what was happening inside the environment or how services and APIs behaved in real time.
That gap made it difficult to understand what was actually running, what was communicating, and what was truly risky. At the same time, the volume of false positives was slowing the team down. They were dealing with 9 to 12 alerts a day that required investigation, but most didn’t lead to real issues.
During their evaluation, Upwind stood out by providing a level of visibility and clarity they hadn’t seen before. By bringing runtime context into a single platform, CAVA could finally see how their environment actually operated, from service-to-service communication to API behavior across internal and external traffic. Just as important, alerts became meaningful. Instead of chasing noise, the team could focus on what actually mattered with confidence.
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