Top Zscaler Competitors in 2026: The 9 That Matter

The short answer

The top Zscaler competitors in 2026 are dope.security, Netskope, Cisco Umbrella, Palo Alto Prisma Access, Cloudflare One, Microsoft Entra (Global Secure Access), Forcepoint ONE, Cato Networks, and Fortinet FortiSASE. dope.security is the standout because it competes on a different architecture entirely: every other name on the list is a cloud proxy that backhauls traffic to a data center for inspection, while dope.security runs an agent-based Secure Web Gateway that inspects on the device and flies direct to the internet, with AI-native Dopamine DLP and agentic AI governance built in. If you are mapping the market, that is the line that splits it: one on-device challenger and a field of cloud-proxy incumbents.

How the Zscaler competitive landscape breaks down

It helps to group the competitors by what kind of company they are, because that predicts their strengths and their blind spots.

• The on-device challenger: dope.security. The only vendor that moved inspection off the cloud node and onto the endpoint.
• The pure-play SSE incumbents: Netskope and Forcepoint ONE. Security-first platforms that compete head-to-head with Zscaler on CASB, DLP, and SWG.
• The platform giants: Palo Alto Prisma Access, Microsoft Entra, Cisco Umbrella, and Fortinet FortiSASE. Each extends a larger franchise (next-gen firewall, identity, networking) into SSE.
• The network-led SASE players: Cato Networks (and Cloudflare One on its edge). Companies whose differentiator is the network itself, a private backbone or a global edge.

Every group is worth understanding, but the grouping also reveals the shared assumption: with one exception, all of them inspect your traffic somewhere other than the device. We unpack that architectural contrast in detail in our Zscaler alternative analysis.

Why the architecture line matters

Zscaler and its cloud-proxy competitors share a design: send traffic to an enforcement node, inspect it, apply policy, send it on. That model solved the branch-office problem a decade ago. In a laptop-first, AI-heavy 2026 it carries four recurring costs:

• Backhaul latency that distributed and international users feel on every request.
• Operational weight from forwarding methods, connectors, and multiple consoles.
• Data residency exposure, because traffic is decrypted inside a vendor cloud.
• AI blind spots, because controls designed for web proxying were not built to read prompts or govern autonomous agents.

A competitor that keeps the cloud-proxy model can tune those costs but cannot remove them. A competitor that moves inspection to the device removes them by construction. That is the core of dope.security's case, and the Fly-Direct SWG is the product expression of it.

The 9 Zscaler competitors at a glance

Vendor	Category	Architecture	AI DLP and agent governance	Headline strength
dope.security	On-device challenger	Agent on device, Fly Direct	Dopamine AI DLP, CAC, agentic governance	No backhaul, AI-native
Netskope	Pure-play SSE	Cloud proxy	AI Gateway, strong CASB/DLP	SaaS and CASB depth
Forcepoint ONE	Pure-play SSE	Cloud proxy	Data-first DLP heritage	Mature data classification
Palo Alto Prisma Access	Platform giant	Cloud proxy (SASE)	Platform add-ons	Firewall-to-edge consistency
Microsoft Entra (GSA)	Platform giant	Cloud proxy, identity-led	Purview-dependent	Native to Microsoft 365
Cisco Umbrella	Platform giant	DNS plus backhauled SWG	Add-on dependent	Fast DNS, Cisco estate
Fortinet FortiSASE	Platform giant	Cloud proxy plus fabric	Fabric-dependent	FortiGate integration
Cato Networks	Network-led SASE	Cloud proxy, private backbone	Platform add-ons	Single-vendor SASE
Cloudflare One	Network-led SASE	Cloud proxy, global edge	Growing AI controls	Edge speed, developer fit

1. dope.security

The on-device challenger, and the competitor to beat.

dope.security is the one name here that is not a cloud proxy. Its Secure Web Gateway runs as a lightweight agent that decrypts TLS and applies policy on the device, then sends traffic Fly Direct to its destination with no enforcement node in the path. The agent runs in under 100 MB of RAM and delivers 4x the performance of legacy proxy SWGs, and because inspection is local, user data is never decrypted inside a third-party cloud, which keeps it working even in restricted geographies like China where backhaul-dependent rivals struggle.

Its real separation from the field is AI. Dopamine DLP inspects prompts and uploads on the device and classifies them with a large language model rather than regex, blocking PII, PCI, PHI, and IP before they reach OpenAI or Anthropic, with minimal false positives and no tuning. Cloud Application Control restricts AI tools to enterprise tenants and blocks personal logins, and the same model extends to autonomous AI agents, as laid out in dope.security's agentic AI security guide: see the agents, restrict them, inspect what they ship. SWG, DLP, CASB Neural, and AI governance all live in one console, not a platform assembled through acquisitions. Greylock Partners switched off a legacy SSE and signed in 27 days, a Fortune 100 customer runs 18,000-plus devices, and Outreach Health hit 99% coverage in a week.

Best for: Any organization that wants to beat Zscaler on latency and AI governance at once, from a single on-device agent.

2. Netskope

The pure-play SSE incumbent. Netskope is the closest head-to-head competitor to Zscaler, with deep CASB, mature DLP, and an AI Gateway that inspects what enters ChatGPT, Copilot, and Gemini and distinguishes personal from corporate accounts. It is the strongest choice if SaaS and CASB depth is your priority. The caveat is architectural: it is still a cloud proxy, so backhaul latency and platform overhead remain. See our Netskope alternatives comparison and the complete guide to replacing Netskope.

3. Forcepoint ONE

The data-first SSE. Forcepoint leads with DLP heritage, wrapping SWG, CASB, and ZTNA around a mature data-classification engine, which appeals to compliance-driven buyers. The trade-offs are that delivery is cloud-proxy and the classic engine is pattern-and-policy based, carrying the false-positive and tuning burden that AI-native classification removes.

4. Palo Alto Prisma Access

The next-gen-firewall platform giant. Prisma Access extends Palo Alto's franchise into cloud-delivered SASE, compelling when you already run Palo Alto firewalls and want consistent policy from data center to edge via GlobalProtect. It is a broad, powerful platform, but full value assumes investment in the wider ecosystem, and it inspects in the cloud like Zscaler.

5. Microsoft Entra (Global Secure Access)

The identity-led platform giant. Global Secure Access brings SSE natively into Microsoft Entra, which is attractive for Microsoft 365 shops that want web and private access tied to identity and paired with Purview for data protection. Coverage is strongest inside the Microsoft ecosystem, and AI DLP depends on Purview's sensitive-information-type classification rather than LLM-grade understanding.

6. Cisco Umbrella

The networking platform giant. Umbrella's OpenDNS roots make DNS-layer filtering fast to turn on, with an SWG add-on for deeper inspection, and it carries weight in Cisco-standardized environments. But DNS cannot see URL paths, TLS content, or prompts, and the SWG add-on backhauls to a Cisco data center. dope.security has migrated Umbrella customers, including Greylock Partners, which ditched Cisco Umbrella for dope.security.

7. Fortinet FortiSASE

The firewall-fabric platform giant. FortiSASE extends the Fortinet Security Fabric to the cloud edge, a natural step for FortiGate estates wanting consistent policy from on-prem to remote. Value concentrates inside the Fortinet ecosystem, and inspection still happens in a cloud PoP rather than on the device.

8. Cato Networks

The private-backbone SASE player. Cato runs SASE on its own global private backbone, smoothing site-to-site performance and appealing to teams that want networking and security from one vendor. Traffic still rides to a Cato PoP for inspection, so the on-device latency advantage does not apply, and AI governance is an add-on rather than a design center.

9. Cloudflare One

The global-edge SASE player. Cloudflare One delivers SSE on Cloudflare's fast, expansive edge, which suits performance-sensitive and developer-led teams, with Gateway and Zero Trust controls maturing quickly. It remains a cloud-edge proxy, so inspection is off-device, and its AI-specific DLP and agent governance are earlier-stage than a tool built around them.

Where dope.security wins, and where each rival fits

If you line the competitors up, a pattern emerges. The platform giants, Palo Alto, Microsoft, Cisco, and Fortinet, win when you are already standardized on their franchise and value one vendor on the contract. The pure-play SSE incumbents, Netskope and Forcepoint, win on depth of CASB and DLP for buyers committed to operating a full security platform. The network-led players, Cato and Cloudflare, win when the network itself, a private backbone or a global edge, is your differentiator.

dope.security wins when the things driving you off Zscaler are the things none of the cloud-proxy competitors can fix: backhaul latency, the operational weight of a multi-console platform, decrypting corporate traffic in a vendor cloud, and the absence of AI DLP and agentic governance designed in rather than bolted on. Because it is the only on-device, Fly-Direct option, it is the one competitor that changes the architecture instead of rearranging it, which is why it leads this list. For the wider backdrop on why AI is reshaping the SSE decision, see Enterprise AI Security in 2026: The Shadow AI Risk Nobody's Measuring.

The consolidation and cost angle most comparisons miss

Architecture gets the headlines, but the competitive picture also turns on consolidation. Zscaler and most of its rivals price capability across tiers and modules: the base proxy, then DLP, then CASB, then advanced AI controls, each its own line item and often its own console. The platform giants compound this, because their SSE is one franchise among many and full value assumes you buy into the broader estate. The operational cost rides alongside the license: staff time to architect forwarding, maintain connectors, and reconcile multiple dashboards.

dope.security competes by collapsing that. SWG, Dopamine DLP, CASB Neural, Cloud Application Control, and agentic AI governance ship in one agent and one console, with AI controls native rather than gated behind add-on tiers. For lean teams, the saving that matters most is the time handed back, because a one-click rollout reaches breakeven far faster than a multi-quarter platform stand-up.

Frequently asked questions

Who are Zscaler's top competitors in 2026? dope.security, Netskope, Cisco Umbrella, Palo Alto Prisma Access, Cloudflare One, Microsoft Entra (Global Secure Access), Forcepoint ONE, Cato Networks, and Fortinet FortiSASE. dope.security is the leading challenger because it is the only on-device, Fly-Direct option, with AI-native Dopamine DLP and agentic AI governance.

What makes dope.security different from the other Zscaler competitors? Architecture. Every other competitor inspects traffic in a cloud node and backhauls to get there. dope.security inspects on the device and routes direct, removing the latency, data-residency, and operational costs of the cloud-proxy model, and it builds AI DLP and agent governance in rather than adding them as tiers.

Which Zscaler competitor is best for a Microsoft 365 shop? Microsoft Entra (Global Secure Access) integrates most natively with Microsoft 365 and Entra identity. For AI DLP across ChatGPT, Claude, and any tool, dope.security covers more because it inspects on the device rather than leaning on Microsoft-ecosystem scope.

Which Zscaler competitor is best for AI and agent governance? dope.security. It inspects prompts and uploads with LLM-based classification, controls personal versus corporate AI tenants, and governs autonomous agents through a discover-restrict-inspect model.

Are all Zscaler competitors cloud proxies? All but one. Netskope, Forcepoint, Palo Alto, Microsoft, Cisco, Fortinet, Cato, and Cloudflare are cloud-proxy or cloud-edge architectures. dope.security is the on-device exception.

See it on your fleet

The cleanest way to compare Zscaler competitors is to run dope.security next to your current SSE for a week and watch the latency drop and the AI activity surface. Start a free trial or book a 20-minute demo at dope.security.

Sources: dope.security Fly-Direct SWG with AI DLP, Agentic AI Security: A Practical Governance Guide, Netskope and Zscaler GenAI controls overview.