Security News > 2023 > April > Streamlining cybersecurity decision-making for analysts and CISOs
Giorgos highlights the company's customizable technology, which can be tailored to meet the unique needs of different organizations, as well as the security measures that Elemendar takes to protect the data processed by their AI technology.
That's because, to use CTI as structured, machine-readable data in a defensive system, you need to translate it from a human-readable form into a machine-readable one: the greatest benefit from cyber threat intelligence comes with higher-level information that is expressed in human-readable forms, because a human wrote it in the first place.
The good news is that data standards which are interoperable and make using structured data across different systems possible do exist.
Fast decision-making is therefore essential, and since Elemendar's application provides structured data that can be automatically processed by defensive systems, it helps cut down the time that analysts feeding into decision-makers need to process data manually.
Yes, Elemendar's technology can be customized to meet the specific needs of different organizations at three stages: when integrating the data sources for the application to process, when processing the data inside the application, and when integrating the outputs into an organization's cyber defense workflows.
Additional custom models can be trained on specific data sources and customized to identify and extract intelligence relevant to the organization's particular threat landscape, sources, or internal data.