Flying Cloud CrowsNest provides data surveillance for any data type. That means structured or unstructured. Data tagged as “sensitive” or not. Data in the cloud, on premises, or on the move. It includes data from any system, including personal devices like cell phones, that travels on your network. Anywhere your network operates, you can get answers about data content, users, usage, and behavior.
CrowsNest taps into any data repository or data source in just minutes. It also integrates easily into specific network segments and system environments via API.
CrowsNest integrates easily with existing security infrastructures with no performance impact. Customers rely on us to enhance their threat detection, prevention, response, and remediation capabilities. We enable customers to ensure that trusted security controls are working as expected. With CrowsNest, customers can assess their overall data posture and security measures for meeting compliance, due diligence, and cyber insurability requirements. Tap into data streams or integrate us with:
Apply CrowsNest data surveillance to critical operational and decision-making systems to identify data behavior, users, provenance, and usage patterns. For the first time, monitor data usage within key platforms and know exactly where it moves and how it’s used when it leaves those environments. Data visibility enables you to protect IP data outside of a production system, demonstrate ROI of software investments, ensure user adoption, and assess financial value of business-critical data. Integrate us with:
Gain first-time visibility into how data is originating, where it’s going, who sees it, and how it’s used. These types of daily operational data are increasingly viewed as candidates for inclusion in data lakes or large language models (LLMs) for future AI tool development. Visibility into this data also brings dark data to light and identifies often-unknown security coverage gaps. Integrate us with:
Contact us to request a data risk assessment. We’ll identify and help you prioritize areas where your data posture is most at risk.