Lucidum, a startup founded by two former Splunk executives that uses machine learning to identify hidden IT assets for cloud and on-premise networks, emerged from stealth today and announced nearly $4 million in seed funding.  

Lucidum is Latin for “bright tapestry” and refers to the tapetum lucidum – a thin layer of tissue on the eyes of some animals that collects ambient light and gives them night vision. Joel Fulton, co-founder and former chief information security officer at Splunk, told SC Media he originally came up with the name while traveling along the Amazon River in South America with his daughter and sleeping out in nature. With no light pollution, everything around them was pitch black except for the glowing eyes of some nocturnal predators who could see everything. He likens their machine learning algorithm to one of those animals, scouring a cloud or on-premise network with enhanced vision and spotting unaccounted shadow IT.

Fulton started the company with co-founder Charles Feng, who also worked at Splunk as head of security innovations and data sciences. While Fulton brings a security background, Feng “solves security problems with math” and helps design and tune the ML algorithm, which is still patent pending according to Lucidum’s press release.

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