Threat hunting solutions provider Hunters today announced that it closed a $15 million Series A funding round, which brings the total raised by the company to $20.4 million.
The company plans to use the money to scale its solution to help identify attacks in the cloud, on the network, and on endpoints. The funds will allow Hunters to invest further in machine learning research and extend its threat detection capabilities.
Founded in 2018, the company offers Hunters.AI, an autonomous hunting platform that can be combined with an enterprise’s existing security data for fast identification and response to attacks.
Hunters’ security-as-a-service solution aims to autonomously detect attack techniques and correlate them across data sources, including threat signals that might be missed due to noise. The approach, the company claims, can reduce alert fatigue and false positives.
The independent platform provides customers with the possibility to use existing security solutions to speed up threat detection. Hunters.AI applies TTP-based intelligence to identify attack signals, maps them to the MITRE ATT&CK framework and then analyzes and correlates the data.
“The Series A investment validates the tremendous progress we’ve made on the technical front with ML and threat research, and commercially with cybersecurity ecosystem partners,” said Uri May, Hunters co-founder and CEO.
Investors participating in the funding round include Microsoft’s venture fund M12, U.S. Venture Partners, seed investors YL Ventures and Blumberg Capital, and Okta Ventures.
“We are excited to join the impressive portfolios of M12 and USVP and to be able to leverage the support, experience and networks of these top U.S. venture firms. The participation of cloud-native, enterprise identity leader Okta, via Okta Ventures, is an additional significant vote of confidence in the value Hunters brings to the cybersecurity ecosystem,” May added.