Anvilogic Closes $45 Million Series C

<p><strong>PALO ALTO &&num;8212&semi;<&sol;strong> <u>Anvilogic<&sol;u>&comma; the industry&&num;8217&semi;s first multi-data platform SIEM&comma; has closed a &dollar;45 million Series C funding round&comma; bringing its total funding to date to &dollar;85 million since its founding in 2019&period; The round was led by <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;TJXDLN2n"><u>Evolution Equity Partners<&sol;u><&sol;a>&comma; with participation from existing investors <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;jAY3-fJz"><u>Foundation Capital<&sol;u><&sol;a>&comma; <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;lfYGQhik"><u>Cervin Ventures<&sol;u><&sol;a>&comma; <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;H6ae5TCP"><u>Myriad Ventures<&sol;u><&sol;a>&comma; <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;Oo4WwdPS"><u>Point72 Ventures<&sol;u><&sol;a>&comma; <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;vAVjz3N0"><u>Outpost Ventures<&sol;u><&sol;a>&comma; <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;pZnUuX8m"><u>Stepstone Group<&sol;u><&sol;a>&comma; and <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;f2j1tdY4"><u>G Squared<&sol;u><&sol;a>&period; Capitalizing on its strong market traction&comma; Anvilogic will use the funding to expand its generative AI features for additional use cases across the entire Security Operations Center &lpar;SOC&rpar; lifecycle and scale up its go-to-market efforts&period;<&sol;p>&NewLine;<p>&&num;8220&semi;Anvilogic&&num;8217&semi;s solution helps security teams reduce risk while cutting SIEM costs&period; Its innovative multi-data platform approach is a game changer for SOCs that want to adopt a modern security analytics platform that scales across diverse data lakes and without having to rip-and-replace their monolithic SIEM&comma;&&num;8221&semi; <strong>said Karthik Subramanian&comma; General Partner&comma; Evolution Equity Partners<&sol;strong>&period; &&num;8220&semi;The team&comma; technology&comma; continued explosion of data&comma; particularly from the adoption of AI&comma; and the significant value delivered to customers made it an easy decision for us to invest&period; We&&num;8217&semi;re excited to support the journey and unique vision&period;&&num;8221&semi;<&sol;p>&NewLine;<p>Often&comma; only half of security-relevant data gets sent to a traditional SIEM due to the high cost&period; Data that does not get sent to the SIEM is unavailable for threat detection&comma; which causes risk to the business&period; This leaves security operations teams struggling to detect high-risk threats in their environment while simultaneously managing spiraling SIEM licensing costs&period; As enterprises shift more workloads to the cloud&comma; where infrastructure requires massive scalability and data storage&comma; this compounds the issue&period;<&sol;p>&NewLine;<p>Further&comma; the rapid adoption of cloud apps and services makes cloud threat detection a challenge for legacy SIEMs&comma; who often lack the ability to correlate detections across multi-cloud and on-prem environments&period; Adopting a more scalable data platform&comma; like Snowflake&comma; is up to 80&percnt; more cost-effective and could address these challenges&period; However&comma; ripping and replacing the organization&&num;8217&semi;s longtime SIEM is unrealistic for many security teams&period;<&sol;p>&NewLine;<p>Quadrupling its growth since its Series B in 2022 by helping dozens of customers break the SIEM lock-in that drives detection gaps and high costs for enterprise SOCs&comma; Anvilogic decouples security analytics from logging platforms&period; This allows detection engineers and threat hunters to keep using their existing SIEM while seamlessly adopting a scalable and cost-effective data lake for high-volume data sources and advanced analytics use cases&period; By eliminating the need for rip-and-replace&comma; Anvilogic allows security leaders to confidently join the rest of the enterprise on the modern data stack&comma; saving millions without disrupting existing processes&period;<&sol;p>&NewLine;<p>&&num;8220&semi;We&&num;8217&semi;re in an era where data is the new oil&period; We&&num;8217&semi;re generating it at an unprecedented rate&comma; and&comma; consequently&comma; the cost pressure on our Security Information and Event Management &lpar;SIEM&rpar; systems is increasing exponentially&comma;&&num;8221&semi; <strong>said Roland Costea&comma; CISO&comma; Enterprise Cloud Services at SAP&period; <&sol;strong>&&num;8220&semi;This is the dawn of a new SIEM era where cost-effective&comma; scalable data lakes are the nerve centers of our security architecture&period; An era where we run security analytics on top of our data where it resides&period; Anvilogic has been instrumental in automating our security operations and providing this multi-data platform SIEM experience for our analysts&period;&&num;8221&semi;<&sol;p>&NewLine;<p>Building on its predictive AI capabilities&comma; Anvilogic released the industry&&num;8217&semi;s first detection engineering copilot in March 2023&comma; leveraging generative AI to address a wide variety of detection and investigation use cases across security data lakes&period; The goal was to enable enterprise SOC teams to make a smooth transition into data lake adoption with the help of use cases like log source classifiers and recommendations for detection&comma; as well as query code generation&period;<&sol;p>&NewLine;<p>Today&comma; Anvilogic is announcing the second generation of its copilot&comma; <a href&equals;"https&colon;&sol;&sol;pr&period;report&sol;D2emb8Fr"><u>Monte Copilot<&sol;u>&comma;<&sol;a> which is now available for beta&period; Monte Copilot extends these capabilities to threat hunting and alert investigation to help accelerate analysts&&num;8217&semi; workflows&period; Anvilogic&&num;8217&semi;s unique approach to addressing these use cases takes full advantage of the model training and inferencing capabilities provided by modern data platforms such as Snowflake&comma; combined with our content-rich detection armory and domain-specific data models&period;<&sol;p>&NewLine;<p>&&num;8220&semi;The interest from SOC teams in adopting a data lake strategy to control their legacy SIEM costs continues to grow&period; Next-generation SIEMs on the market today force a rip-and-replace of the customer&&num;8217&semi;s existing SIEM investment&comma; which is a non-starter for most security teams&period; As enterprises look for new ways to cut costs while closing detection gaps across hybrid and multi-cloud environments&comma; we can help them modernize their security operations for a growing number of data platforms and use cases&comma;&&num;8221&semi; <strong>said Karthik Kannan&comma; CEO and founder of Anvilogic&period; <&sol;strong>&&num;8220&semi;To raise this growth round at this moment in time is a validation of our multi-data platform approach and success in the enterprise market&period; We look forward to further streamlining operations for the SOC as we continue building out additional generative AI capabilities&period;&&num;8221&semi;<&sol;p>&NewLine;

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