With the aim to monitor, prevent, and predict cyber attacks on various systems and infrastructures, the cyber defence company needed a solution to ingest and connect all available data and discover threat patterns.
With the aim to monitor, prevent, and predict cyber attacks on various systems and infrastructures, the cyber defence company needed a solution to ingest and connect all available data and discover threat patterns.
A Fortune 500 Retailer saved $6M using Hume to prevent scams. The soft production was deployed in 3 months, and within 6 months it exceeded the scam detection KPIs by 300%.
Limbik is an AI-powered system that surfaces potentially impactful mis- and disinformation activities and informs effective response options. Unlike other technologies and consultative services that are purely reactionary, Limbik utilizes proprietary predictive analytics to enable customers to proactively mitigate the scale and speed of today's information threats.
‘The amount of savings in time and effort [the search optimization] can deliver for our home offices, for our customers, is incredible.’
--Mayank Gupta, SVP for data, LPL Financial
‘GraphAware Hume and Neo4j have significantly reduced the amount of manual effort required to keep documentation consistent and mitigate compliance risk.’
‘The ability to customise Hume Actions via Cypher queries provided ESA with flexibility to cover a range of use cases and customers.’
‘GraphAware successfully implemented a real-time recommendation engine on our site in just two weeks. That is an astonishingly short time to production.’
--David Stephenson, Managing Director, DSI Analytics and interim Head of Analytics, Belvilla
See a case study how GraphAware helped its client, InfoJobs develop its contact recommendation system and improve development skills for life.
‘GraphAware didn’t just help us build our recommendation service: they helped our developers acquire a whole new set of programming skills.’
--Marc Pou, Product Owner, InfoJobs
