Fortinet vs Zscaler
Relationship
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
4 of 6 capabilities — Shares data security, evaluation and observability, guardrails and safety and 1 more.
Ludbee capability tags · from the product recordsShared product type — Both ship application and platform.
Ludbee product recordsSmaller scale — Zscaler: $30.5B market cap, against Fortinet's $124.8B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateNamed in filing — “...Zscaler, Inc. ("Zscaler").”
sec.gov · checked 2026-09-18Detect and respond to security threats — Rivals on this job — Spot attacks across endpoints, email, cloud and identity, then triage and contain them.
Ludbee needs vocabulary · the scope on the sourced edgeAligned comparison
Capability overlap
Shared · 4
Not verified for Zscaler · 2
Recorded for Fortinet. Zscaler’s product records say nothing either way — a missing record is not a missing capability.
Zscaler has no capability Fortinet lacks, among the 4 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Fortinet
Application
AI orchestration platform automating security and network operations: alert triage/investigation, network configuration validation, and threat hunting, integrated across Fortinet's management products.
Discovers, controls and governs AI use across enterprise environments: shadow-AI detection (6,500+ AI application URLs), AI-application visibility (FortiView for AI), and AI-workload data-loss prevention.
Cloud-native data-loss-prevention agent combining machine-learning content/context analysis with a GenAI-powered assistant that summarizes and contextualizes incidents for insider-risk and data-egress protection.
Email security gateway combining machine learning, LLM-based content analysis and image recognition to detect phishing, BEC and other threats across the email lifecycle.
Uses AI-based behavioural analysis of network traffic to detect lateral movement, data exfiltration and privilege escalation without endpoint agents, sold as on-premises appliances and VMs or as FortiNDR Cloud.
Sandbox appliance/service for zero-day and advanced-threat detection, using AI-powered analysis (a purpose-built ML engine plus artificial neural networks) alongside static and dynamic analysis to accelerate verdicts.
Platform
Applies AI/ML analysis to telemetry from Fortinet network devices to detect pattern anomalies and automate network troubleshooting.
Zscaler
Application
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.
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.
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.
AI-driven detection and diagnosis of digital-experience issues across the network and application delivery path.
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.
No counterpart
Fortinet sells these in a stack layer with no product recorded for Zscaler yet — nothing on the other side to compare them against.
Infrastructure service
A runtime security proxy deployed between applications and LLM endpoints that blocks prompt injection, jailbreaking, model poisoning and excessive-consumption attacks and enforces context-aware data-loss prevention on AI traffic.
Zscaler sells these in a stack layer with no product recorded for Fortinet yet — nothing on the other side to compare them against.
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.
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.
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.