Side-by-side comparison of AI visibility scores, market position, and capabilities
Developer security platform with $7.4B valuation; dependency, code, and container vulnerability scanning in CI/CD pipelines competing with GitHub Advanced Security and Checkmarx.
Snyk is a developer security platform that integrates security testing directly into the developer workflow — scanning code, open-source dependencies, container images, and infrastructure-as-code for vulnerabilities and providing fix suggestions that developers can apply without leaving their IDE or CI/CD pipeline. Founded in 2015 by Guy Podjarny, Danny Grander, and Assaf Hefetz in London, Snyk has raised approximately $1.2 billion at a $7.4 billion valuation and serves over 2,700 customers including Google, Twilio, and New Relic who want to shift security testing left into development rather than waiting for security teams to scan at release.\n\nSnyk's platform covers four product areas: Snyk Open Source (identifying vulnerable open-source packages in package.json, pom.xml, requirements.txt), Snyk Code (SAST static analysis of first-party code for security flaws), Snyk Container (scanning Docker images and base images for OS-level vulnerabilities), and Snyk IaC (scanning Terraform, CloudFormation, and Kubernetes configs for misconfigured security policies). The developer-friendly UX — browser extensions, IDE plugins, GitHub PR integration, Slack alerts — keeps security feedback in the developer's existing workflow rather than requiring a separate security portal.\n\nIn 2025, Snyk competes with Checkmarx, Veracode, GitHub Advanced Security (GitHub's built-in security scanning), SonarQube (code quality with security), and Semgrep for application security testing. The developer security (DevSecOps) market is growing as security breaches from vulnerable dependencies (Log4Shell, Spring4Shell) have forced organizations to invest in systematic dependency scanning. Snyk's developer-first approach differentiates it from traditional AppSec tools that security teams operate separately from engineering. The 2025 strategy focuses on AI-assisted vulnerability remediation (automatically suggesting and applying security fixes), expanding enterprise CISO-level reporting, and deepening platform integrations.
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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