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. Which one fits depends on why you're looking. dope.security is the one that competes on a different architecture: the others are cloud proxies or cloud edges that send 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. The platform giants fit teams already standardized on their ecosystem, and the pure-play SSE vendors fit teams that want CASB and DLP depth in the cloud. If you are mapping the market, that is the line that splits it: one on-device challenger and a field of cloud-proxy incumbents.

Disclosure: dope.security makes an on-device secure web gateway and competes with vendors discussed in this post. We've linked independent sources so you can check our claims.

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. Moves 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

The category column predicts the blind spot. Platform giants optimize for their own ecosystem; network-led players optimize for the network; the on-device challenger optimizes for the endpoint where the user and the data actually are, and gives up built-in ZTNA to do it.

1. dope.security

The on-device challenger.

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: Organizations whose main problems with Zscaler are backhaul latency and AI governance, and that want both handled by a single on-device agent.

Trade-off: dope.security has no built-in ZTNA today, so teams using ZPA for private apps keep it (or another ZTNA tool). The agent runs on Mac and Windows endpoints.

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. Gartner placed it at the top on execution in its 2026 SASE Platforms Magic Quadrant, citing "broad and deep" networking and security capabilities (SDxCentral). It is the strongest choice if SaaS and CASB depth is your priority and you're ready to run a full platform. The trade-off is packaging: capabilities span multiple modules and licenses, so model the full bundle before comparing quotes. 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. As of October 2026 it's rated 4.2/5 on G2 across 103 reviews, where it's listed as Forcepoint Data Security Cloud in the DLP, CASB, SSE, and SASE categories (G2). It fits organizations where data protection, not web filtering, is the reason for the project. The trade-off is that the classic engine is pattern-and-policy based, which carries a false-positive and tuning burden you should staff for after rollout.

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 has been named a Leader in Gartner's SSE Magic Quadrant three years running, including 2025 (CRN). It fits teams with PAN-OS expertise that value one policy model across the whole estate. The trade-off is commitment: full value assumes investment in the wider Palo Alto ecosystem, and it's packaged and priced as a platform rather than a standalone SWG.

5. Microsoft Entra (Global Secure Access)

The identity-led platform giant. Global Secure Access brings SSE natively into Microsoft Entra. Its Internet Access component applies Conditional Access to internet traffic, adds web-category and FQDN filtering, and uses universal tenant restrictions to curb data exfiltration, so admins don't manage users and apps in a separate tool (Petri). It's attractive for Microsoft 365 shops that want web and private access tied to identity and paired with Purview. The trade-off is scope: 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. As of October 2026 it's rated 4.4/5 on G2 across 283 reviews, one of the most-reviewed DNS-layer security products there (G2). It fits Cisco shops that want quick, low-friction DNS protection across offices and roaming users. The trade-offs: 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. Gartner named Fortinet a Challenger in the 2025 SSE Magic Quadrant, and coverage notes that FortiSASE runs on a single FortiOS with one console, endpoint agent, and data lake, per Fortinet (TelcoNews). It fits teams that want SSE to reuse existing FortiGate policy objects and staff. The trade-off is that value concentrates inside the Fortinet ecosystem; outside it, you're judging a Challenger-placed SSE on its own merits.

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. In Gartner's 2026 SASE Platforms Magic Quadrant it moved up to second place among the four Leaders, with Gartner citing above-average customer experience (SDxCentral). It fits mid-to-large enterprises replacing MPLS and SSE together. The trade-off: traffic still rides to a Cato PoP for inspection, so the on-device latency advantage does not apply, and adopting Cato is a networking project, not just an SWG swap.

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. Gartner placed Cloudflare as the only Visionary in its 2026 SASE Platforms Magic Quadrant and applauded its AI and post-quantum cryptography work (SDxCentral). It fits organizations already using Cloudflare for DNS, CDN, or WAF. The trade-off is maturity: its AI-specific DLP and agent governance are earlier-stage than tools built around them, so validate your DLP use cases in a pilot.

Where dope.security fits, 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 fits when the things driving you off Zscaler are the things a cloud proxy can tune but not remove: backhaul latency, the operational weight of a multi-console platform, decrypting corporate traffic in a vendor cloud, and AI DLP and agentic governance that are bolted on rather than designed in. Because it inspects on the device, it changes the architecture instead of rearranging it; the trade-off is that private-app access (ZTNA) stays with another tool for now. 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 on-device option in that group, with AI-native Dopamine DLP and agentic AI governance; the rest inspect in a cloud or at an edge.

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. It does not include ZTNA today.

Which Zscaler competitor is best for a Microsoft 365 shop? Microsoft Entra (Global Secure Access) integrates most natively with Microsoft 365 and Entra identity. If you also need AI DLP across non-Microsoft tools such as ChatGPT and Claude, compare Purview's coverage with an on-device option like dope.security.

Which Zscaler competitor is best for AI and agent governance? It depends on where you want enforcement. If you want AI controls inside a cloud SSE you already run, Netskope's AI Gateway is the closest to Zscaler's model. If you're Microsoft-first, Entra paired with Purview keeps it in one ecosystem. If you want prompts and uploads inspected on the device with LLM-based classification, personal-versus-corporate tenant control, and a discover-restrict-inspect model for autonomous agents, dope.security is built for that.

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: Gartner SASE 2026 rankings (SDxCentral), Zscaler, Netskope, Palo Alto Networks lead Gartner's SSE Magic Quadrant for 2025 (CRN), Microsoft Entra Internet Access (Petri), Fortinet named Challenger in 2025 Gartner SSE (TelcoNews), Cisco Umbrella reviews (G2), Forcepoint Data Security Cloud reviews (G2).