Monad emerges from stealth with $17M to unravel the cybersecurity massive knowledge downside
Cloud safety startup Monad, which affords a platform for extracting and connecting knowledge from numerous safety instruments, has launched from stealth with $17 million in Collection A funding led by Index Ventures.
Monad was based on the idea that enterprise cybersecurity is a rising knowledge administration problem, as organizations attempt to perceive and interpret the plenty of knowledge that’s siloed inside disconnected logs and databases. As soon as a company has extracted knowledge from their safety instruments, Monad’s Safety Information Platform allows them to centralize that knowledge inside a knowledge warehouse of selection, and normalize and enrich the information in order that safety groups have the insights they should safe their programs and knowledge successfully.
“Safety is basically an enormous knowledge downside,” stated Christian Almenar, CEO and co-founder of Monad. “Clients are sometimes unable to entry their safety knowledge within the streamlined method that DevOps and cloud engineering groups must construct their apps shortly whereas additionally addressing their most urgent safety and compliance challenges. We based Monad to unravel this safety knowledge problem and liberate clients’ safety knowledge from siloed instruments to make it accessible through any knowledge warehouse of selection.”
The startup’s Collection A funding spherical, which was additionally backed by Sequoia Capital, brings its whole quantity of funding raised to $19 million, and comes 12 months after its Sequoia-led seed spherical. The funds will allow Monad to scale its growth efforts for its safety knowledge cloud platform, the startup stated.
Monad was based in Could 2020 by safety veterans Christian Almenar and Jacolon Walker. Almenar beforehand co-founded serverless safety startup Intrinsic, which was acquired by VMware in 2019, whereas Walker served as CISO and safety engineer at OpenDoor, Collective Well being and Palantir.