Zscaler
ZSCloud-native Zero Trust security platform that inspects and blocks threats in enterprise traffic in real time, using AI to score risk and detect anomalous behaviour across users, devices and workloads.
Products
Selected offerings — the AI products recorded here, not the vendor's full catalogue.
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Zero Trust Exchange Platform
Cloud-native security platform that inspects and enforces policy on every connection between users, devices, workloads and AI agents, rather than trusting anything on a corporate network.
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Zscaler AI Guard API service
Real-time guardrails for LLM traffic that inspect prompts and responses inline to block prompt injection, jailbreaks, sensitive-data leakage and toxic or off-topic output, deployed either as a proxy or as an API-based Detection as a Service.
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Zscaler AI Red Teaming Developer tool
Automated adversarial testing for AI applications and agents that runs simulated attacks using 25+ predefined and custom probes across text, image, voice and document inputs, scoring results for security, safety, hallucination and business alignment against MITRE ATLAS, NIST AI RMF and the OWASP LLM Top 10.
Inside Zero Trust Exchange
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Runs AI models over the security data flowing through the Zero Trust Exchange, using attack graphs, user risk scoring and threat intelligence to score the probability of a breach, forecast an attacker's next tactics, and recommend policy changes before the attack completes.
Inside Zscaler
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Zscaler Cloud Sandbox API service
Inline, AI-powered sandbox that analyzes unknown files in real time to block zero-day and file-based malware before it reaches endpoints, using AI/ML models trained on 600M+ samples.
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Zscaler Digital Experience (ZDX) Application
AI-driven detection and diagnosis of digital-experience issues across the network and application delivery path.
Inside Zscaler Data Security
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AI security posture management that auto-discovers and classifies AI models, agents and services across Azure AI Foundry, Amazon Bedrock, Google Vertex AI and unmanaged providers, correlates the sensitive data connected to them, and maps findings to frameworks including NIST AI RMF 600-1 and the EU AI Act.
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Governance layer for employee use of generative AI that discovers shadow AI applications, applies allow, block or coach policies per user, and monitors prompts and responses against more than 100 data loss prevention dictionaries to stop sensitive data leaving through AI tools.
Closest alternatives 2
Similar products 59
Closest alternatives are pairs a vendor page itself compares. Similar products are matched from what each product does; nothing in that group is asserted as a rivalry.
Sources
- Market cap
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Third-party database · 31 Aug 2026
Market capitalisation $30.53B, share price $188.80, page stamped "Aug 31, 2026, 1:30 PM EDT - Market open". Same source and pattern as every other public company's market cap in this dataset.
- Employees
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Regulatory filing · 31 Jul 2026
Same FY2026 10-K: "As of July 31, 2026, we had over 8,700 employees in locations around the world." Recorded as the company's own stated floor ("over 8,700"), same convention as the prior FY2025 figure it supersedes.
- Founded
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Infobox "Founded" field reads "2007; 19 years ago (2007)".
- Revenue (TTM)
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Regulatory filing · 31 Jul 2026
Zscaler, Inc. Form 10-K for the fiscal year ended 2026-07-31 (filed 2026-09-03): "revenue increasing from $2,167.8 million in fiscal 2024 to $2,673.1 million in fiscal 2025 to $3,352.5 million in fiscal 2026." Supersedes the FY2025 figure already on record.
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