Zscaler vs a2z Radiology AI

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

Zscaler

LeaderSecurity

Zero Trust

San Jose zero trust security (NASDAQ: ZS) surpassing $3B ARR FY2025; 500B+ daily transactions across 160+ data centers for 8,650+ enterprises and 35% Forbes Global 2000 competing with Palo Alto Prisma for enterprise zero trust.

AI VisibilityBeta
Overall Score
A91
Category Rank
#1 of 1
AI Consensus
60%
Trend
stable
Per Platform
ChatGPT
98
Perplexity
82
Gemini
82

About

Zscaler is a San Jose, California-based cloud security company — publicly traded on NASDAQ (NASDAQ: ZS) at approximately $30 billion market capitalization — operating the world's largest security cloud, the Zscaler Zero Trust Exchange, that processes 500+ billion daily transactions across 160+ data centers globally. In fiscal year 2025 (ended July 31, 2025), Zscaler surpassed $3 billion in annual recurring revenue (ARR) with Q4 FY2025 revenue of $719.2 million (21% year-over-year growth), serving 8,650+ enterprise customers including 35% of the Forbes Global 2000. The platform's flagship products — Zscaler Internet Access (ZIA, secure web gateway), Zscaler Private Access (ZPA, zero trust network access), and Zscaler Digital Experience (ZDX, application performance monitoring) — have eliminated traditional VPN and network perimeter architectures for thousands of enterprises. Founded in 2007 by CEO Jay Chaudhry (serial security entrepreneur who built and sold four prior security companies); IPO March 2018.

Full profile

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.

Full profile

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