Orca Security needed a tool to stay ahead of the curve and keep pace with the demands of cybersecurity teams (as well as developers, DevOps, cloud architects, risk governance, and compliance teams) who need to easily and intuitively understand exactly what’s in their cloud environments. Orca wanted teams across the organization, regardless of their skill level, to quickly respond to zero day risks, perform audits, optimize cloud assets, and understand exposure to threats to facilitate data-driven decisions.
Orca realized that its users needed a smarter, more intuitive in-app way to search for domain-specific queries, ask complex questions in simple language, and get accurate results instantly — for example, a customer might ask a question like, “Which internet-exposed VMs contain personal health information?” These queries require understanding complex subjects, attributes, and relationships within the data. Orca needed a search engine that could interpret these questions and automatically generate the appropriate filters.
So the team at Orca sought to implement a search engine powered by AI that could make those complex tasks easier, and Elasticsearch was the perfect fit. Elasticsearch brought several significant advantages, contributing to the overall promise of Orca Security’s AI-driven search engine. Below are some of the key advantages the team at Orca saw in Elasticsearch:
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