Side-by-side comparison of AI visibility scores, market position, and capabilities
Tel Aviv Israel cloud detection and response platform; raised $23M+; real-time investigation and response for cloud threats across AWS, Azure, and GCP.
Gem Security is a cloud detection and response (CDR) company founded in 2022 and headquartered in Tel Aviv, Israel. The company was founded by Ron Konigsberg, Arie Zilberstein, and Ofir Brukner — veterans of the Israeli Defense Forces intelligence corps and the enterprise security industry — to address the lack of effective incident response tooling for cloud environments. When a cloud security breach occurs, organizations often lack the tools to quickly understand what happened, what was accessed, and how far the attacker moved, because cloud audit logs are distributed across multiple services and require significant expertise to interpret.\n\nGem raised $23 million in a Series A round led by Team8 and GGV Capital. Its platform ingests cloud audit logs and events from AWS, Azure, and GCP in real time, builds a graph of all cloud resource relationships and identity activity, and uses threat detection rules and AI to identify active incidents. When an alert is triggered, Gem's investigation interface automatically aggregates all relevant context — the identity involved, the resources accessed, the timeline of events, and the blast radius — into a single view, reducing the time security analysts spend on manual log correlation from hours to minutes.\n\nGem's cloud-native investigation capabilities allow security teams to pivot through cloud activity graphs, understand the full scope of an incident, and initiate containment actions directly from the platform. The product is designed for organizations that have adopted cloud security posture management tools but lack effective detection and response capabilities for cloud incidents that bypass configuration checks. Gem positions CDR as the runtime complement to CSPM's proactive posture management, completing the detect-and-respond half of the cloud security lifecycle.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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