• Jeffrey Lush


ACATEE is designed to be customizable and straightforward, supporting an Agile and DevOps philosophy. ACATEE is a complete application available with artificial intelligence, data analytics, and a GUI interface. It is 100% functional out of the box with several predefined templates that support many of the NIST special publications, PII, HIPAA, and other control bodies. Controls are easily modified, new events added, and relationships fostered.

Integration with existing tools to include team analysis tools, log aggregation, SIEM products are all supported with the default export of CSV, XML, and XLSX formats. Integration with existing tools is not dependent upon first running the ACATEE GUI and then performing export tasks. Instead, the ACATEE AI runs independent of the GUI, if needed for integration into other applications.

The ACATEE AI can be configured to perform continuous monitoring of the environment, providing integrated software and tools with updated information related to their controls, standards, and near real-time threat assessment.

The artificial intelligence not only outputs several formats but also allows for the input of those formats as well. The flexibility of the solution provides integration into current tools and enables results to be reviewed via a spreadsheet application if desired.

The configuration is text-based, providing users with a straightforward means to adjust the operation of the analytics and intelligence engine.

The ACATEE AI is directly integrated into the ACATEE GUI as well, to provide considerably more functionality, dashboards, input screens, and reporting.

ACATEE runs in a single directory, located anywhere within the environment. ACATEE is 100% self-contained, requiring no interaction with other software. ACATEE can run from removable media if required. The hardware and resources needed for ACATEE are minimal as well, requiring a minimum of 100mb of disk storage, 4GB of RAM and a single CPU. ACATEE by default is available as an appliance, although it can easily be integrated into a virtual machine within the customer's environment or on a cloud infrastructure.

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