Anvilogic, a modern Security Operations Platform that brings cloud-based security data lakes to life, announced today the company’s $25 million Series B funding, according to a statement. The round was led by Outpost Ventures – a Neuberger Berman fund, with participation from Xerox Ventures, G Squared, Foundation Capital, Point72 Ventures and Cervin Ventures. This round brings Anvilogic’s total funding to $40 million.
“In this emerging new world of cloud-first applications and multi-cloud workloads, it is important to undertake a similar modernization in security operations architectures, particularly when it comes to understanding signals from newer cloud applications and connecting them to put together a complete picture of the threat landscape. Additionally, building and operating a security data lake is becoming mainstream to deliver threat identification and triage automation for the SOC,” said by Karthik Kannan, Founder/CEO of Anvilogic.
He added, “Businesses need a bridge to get to the modern world because there is so much institutional knowledge and investment that cannot be thrown away overnight in favor of a new architecture. This is exactly what Anvilogic brings – an automation platform that bridges the legacy world to the cloud world and transformed security operations into a new, cloud-based modern architecture.”
Anvilogic is a cloud-based, modern, and automated Security Operations Center (SOC) platform. It enables security operations to work with on-prem, hybrid and multi-cloud workloads as well as security data lakes, while automating most traditional security workflows – detect, hunt, triage and respond – all on a single platform. Security practitioners no longer need to worry about disparate tools or coding in tool-specific languages. Instead, they can operate on a single discovery and response continuum that is fully context-enriched and integrated with downstream ticketing and case management systems like ServiceNow.
Purpose-built for security teams of security professionals, Anvilogic is designed to eliminate the legacy approaches of traditional SIEMs. AI-driven, community-connected threat detection, investigation and response capabilities help customers quickly navigate the threat detection journey, from maturity scoring to alerts to action, and create a modern, future-proof that SOC.
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