OX Security vs a2z Radiology AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

OX Security

EmergingCybersecurity

Software Supply Chain Security

OX Security provides end-to-end software supply chain security by mapping and protecting every component from code to cloud deployment.

About

OX Security is a software supply chain security company founded in 2021 and based in Tel Aviv, focused on securing the full pipeline from source code commit through deployment. The platform builds a complete pipeline bill of materials that maps every tool, dependency, and artifact involved in the software development and delivery process, then monitors for anomalies, tampering, and policy violations throughout. OX Security addresses threats including malicious code injections, compromised build pipelines, dependency confusion attacks, and unauthorized access to CI/CD infrastructure. The company integrates with existing development tools including GitHub, GitLab, Jenkins, and cloud platforms without requiring agents or modifications to existing workflows. Following high-profile software supply chain attacks including SolarWinds and Log4Shell, enterprises have prioritized supply chain security investment and OX Security has benefited from this heightened demand. The company serves technology companies and enterprises in regulated industries requiring comprehensive auditability of their software delivery processes.

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a2z Radiology AI

EmergingEnterprise AI

Medical Imaging AI

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.

About

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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