Atmosec, a Tel Aviv-based cybersecurity startup, has raised $6 million in seed funding to help protect SaaS ecosystems by facilitating anomaly detection and mitigation.
The funding round was co-led by y Glilot Capital Partners and Battery Ventures, with participation from Co-Founders of Armis, Yevgeny Dibrov (CEO) and Nadir Izrael (CTO); Wiz Co-Founder and CEO, Assaf Rappaport and Ofer Ben-Noon, Co-Founder and CEO of Talon Cyber. Kobi Samboursky, Founder and Managing Partner at Glilot Capital Partners, referred to the firm’s participation by stating:
“We recognize a trend of security professionals prioritizing Saas Security solutions. Atmosec has developed a solution that bridges the gap in securing this SaaS ecosystem, protecting cloud-enabled businesses from increasingly advanced attacks on SaaS services.”
Atmosec has been allowing organizations to overcome the challenge of securing their cloud-based ecosystems ever since its founding back in 2021. The startup does this by making use of contextual analysis to analyze the behavior of applications, detecting abnormalities and automatically mitigating any anomalies. Adi Dangot Zukovsky, of Battery Ventures, said in this regard:
“Organizations today rely on an ever-growing number of SaaS applications to run their businesses—so in many ways it’s surprising that many have inadequate systems to manage third-party risk. Atmosec is addressing this critical problem with new technology that provides cloud-native enterprises with greater visibility into their existing systems and helps them lower the risk of outsiders exploiting their third-party business applications and app-to-app connectivity paths.”
With more organizations transitioning to a cloud-based model every day and cybersecurity threats also increasing, SaaS security solutions are now becoming an essential necessity. According to Ermetic, 98% of all companies have experienced at least one cloud data breach during 2021. Atmosec is taking a novel approach by analyzing the actual behavior of SaaS platforms, an important indicator that has traditionally been overlooked by other platforms.